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ORCIDLidong Bing
邴立东
Person information
- affiliation: Machine Intelligence Technology, DAMO Academy, Alibaba Group
- affiliation (former): Tencent AI Lab, Shenzhen, China
- affiliation (former): Carnegie Mellon University, Machine Learning Department, Pittsburgh, PA, USA
- affiliation (former): Chinese University of Hong Kong, Hong Kong
- unicode name: 邴立东
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2020 – today
- 2024
[c151]Guizhen Chen, Liying Cheng, Anh Tuan Luu, Lidong Bing:
Exploring the Potential of Large Language Models in Computational Argumentation. ACL (1) 2024: 2309-2330- [c150]Xuan-Phi Nguyen, Mahani Aljunied, Shafiq Joty, Lidong Bing:
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts. ACL (1) 2024: 3501-3516 - [c149]Qingyu Tan, Hwee Tou Ng, Lidong Bing:
Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning. ACL (Findings) 2024: 6272-6286 - [c148]Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing:
Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition. ACL (1) 2024: 7792-7807 - [c147]Yew Ken Chia, Vernon Toh, Deepanway Ghosal, Lidong Bing, Soujanya Poria:
PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns. ACL (Findings) 2024: 16259-16273 - [c146]Sicong Leng, Hang Zhang, Guanzheng Chen, Xin Li, Shijian Lu, Chunyan Miao, Lidong Bing:
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding. CVPR 2024: 13872-13882 - [c145]Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, Lidong Bing:
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation. EMNLP 2024: 1143-1166 - [c144]Xingxuan Li, Yutong Li, Lin Qiu, Shafiq Joty, Lidong Bing:
Evaluating Psychological Safety of Large Language Models. EMNLP 2024: 1826-1843 - [c143]Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee:
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models. EMNLP (Findings) 2024: 4663-4680 - [c142]Yew Ken Chia, Guizhen Chen, Weiwen Xu, Anh Tuan Luu, Soujanya Poria, Lidong Bing:
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths. EMNLP (Findings) 2024: 16763-16780 - [c141]Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing:
Multilingual Jailbreak Challenges in Large Language Models. ICLR 2024 - [c140]Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing:
CLEX: Continuous Length Extrapolation for Large Language Models. ICLR 2024 - [c139]Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Shafiq Joty, Soujanya Poria, Lidong Bing:
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources. ICLR 2024 - [c138]Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, Lidong Bing:
Sentiment Analysis in the Era of Large Language Models: A Reality Check. NAACL-HLT (Findings) 2024: 3881-3906 - [c137]Huiming Wang, Zhaodonghui Li, Liying Cheng, De Wen Soh, Lidong Bing:
Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning. NAACL-HLT 2024: 7874-7891 - [i128]Yiran Zhao, Wenxuan Zhang, Guizhen Chen, Kenji Kawaguchi, Lidong Bing:
How do Large Language Models Handle Multilingualism? CoRR abs/2402.18815 (2024) - [i127]Yiran Zhao, Wenxuan Zhang, Huiming Wang, Kenji Kawaguchi, Lidong Bing:
AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging. CoRR abs/2402.18913 (2024) - [i126]Chaoqun Liu, Wenxuan Zhang, Yiran Zhao, Anh Tuan Luu, Lidong Bing:
Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models. CoRR abs/2403.10258 (2024) - [i125]Yew Ken Chia, Vernon Toh Yan Han, Deepanway Ghosal, Lidong Bing, Soujanya Poria:
PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns. CoRR abs/2403.13315 (2024) - [i124]Xingxuan Li, Xuan-Phi Nguyen, Shafiq Joty, Lidong Bing:
ParaICL: Towards Robust Parallel In-Context Learning. CoRR abs/2404.00570 (2024) - [i123]Zhaodonghui Li, Haitao Yuan, Huiming Wang, Gao Cong, Lidong Bing:
LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency. CoRR abs/2404.12872 (2024) - [i122]Ruochen Zhao, Wenxuan Zhang, Yew Ken Chia, Deli Zhao, Lidong Bing:
Auto Arena of LLMs: Automating LLM Evaluations with Agent Peer-battles and Committee Discussions. CoRR abs/2405.20267 (2024) - [i121]Zesen Cheng, Sicong Leng, Hang Zhang, Yifei Xin, Xin Li, Guanzheng Chen, Yongxin Zhu
, Wenqi Zhang, Ziyang Luo, Deli Zhao, Lidong Bing:
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs. CoRR abs/2406.07476 (2024) - [i120]Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee:
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models. CoRR abs/2406.17294 (2024) - [i119]Wenxuan Zhang, Hou Pong Chan, Yiran Zhao, Mahani Aljunied, Jianyu Wang, Chaoqun Liu, Yue Deng, Zhiqiang Hu, Weiwen Xu, Yew Ken Chia, Xin Li, Lidong Bing:
SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages. CoRR abs/2407.19672 (2024) - [i118]Chaoqun Liu, Qin Chao, Wenxuan Zhang, Xiaobao Wu, Boyang Li, Anh Tuan Luu, Lidong Bing:
Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels. CoRR abs/2409.12425 (2024) - [i117]Yew Ken Chia, Qi Sun, Lidong Bing, Soujanya Poria:
Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models. CoRR abs/2409.14277 (2024) - [i116]Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, Lidong Bing:
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation. CoRR abs/2410.00558 (2024) - [i115]Xingxuan Li, Weiwen Xu, Ruochen Zhao, Fangkai Jiao, Shafiq Joty, Lidong Bing:
Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks. CoRR abs/2410.01428 (2024) - [i114]Yew Ken Chia, Guizhen Chen, Weiwen Xu, Luu Anh Tuan, Soujanya Poria, Lidong Bing:
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths. CoRR abs/2410.10858 (2024) - [i113]Yongxin Zhu, Bocheng Li, Hang Zhang, Xin Li, Linli Xu, Lidong Bing:
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective. CoRR abs/2410.12490 (2024) - [i112]Sicong Leng, Yun Xing, Zesen Cheng, Yang Zhou, Hang Zhang, Xin Li, Deli Zhao, Shijian Lu, Chunyan Miao, Lidong Bing:
The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio. CoRR abs/2410.12787 (2024) - [i111]Long Li, Weiwen Xu, Jiayan Guo, Ruochen Zhao, Xingxuan Li, Yuqian Yuan, Boqiang Zhang, Yuming Jiang, Yifei Xin, Ronghao Dang, Deli Zhao, Yu Rong, Tian Feng, Lidong Bing:
Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents. CoRR abs/2410.13185 (2024) - [i110]Zesen Cheng, Hang Zhang, Kehan Li, Sicong Leng, Zhiqiang Hu, Fei Wu, Deli Zhao, Xin Li, Lidong Bing:
Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss. CoRR abs/2410.17243 (2024) - 2023
- [j13]Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam:
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges. IEEE Trans. Knowl. Data Eng. 35(11): 11019-11038 (2023) - [c136]Zihao Fu, Haoran Yang, Anthony Man-Cho So, Wai Lam, Lidong Bing, Nigel Collier:
On the Effectiveness of Parameter-Efficient Fine-Tuning. AAAI 2023: 12799-12807 - [c135]Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing:
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach. ACL (Findings) 2023: 932-946 - [c134]Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua:
Reasoning Implicit Sentiment with Chain-of-Thought Prompting. ACL (2) 2023: 1171-1182 - [c133]Weiwen Xu, Xin Li, Wai Lam, Lidong Bing:
mPMR: A Multilingual Pre-trained Machine Reader at Scale. ACL (2) 2023: 1533-1546 - [c132]Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, Zhen Hai, Lidong Bing, Anh Tuan Luu:
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction. ACL (Findings) 2023: 1670-1696 - [c131]Chaoqun Liu, Wenxuan Zhang, Guizhen Chen, Xiaobao Wu, Anh Tuan Luu, Chip-Hong Chang, Lidong Bing:
Zero-Shot Text Classification via Self-Supervised Tuning. ACL (Findings) 2023: 1743-1761 - [c130]Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Chunyan Miao:
Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning. ACL (1) 2023: 4018-4031 - [c129]Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Shafiq Joty, Luo Si, Lidong Bing:
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations. ACL (1) 2023: 4799-4816 - [c128]Lu Xu, Lidong Bing, Wei Lu:
Sampling Better Negatives for Distantly Supervised Named Entity Recognition. ACL (Findings) 2023: 4874-4882 - [c127]Ruochen Zhao, Xingxuan Li, Shafiq Joty, Chengwei Qin, Lidong Bing:
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework. ACL (1) 2023: 5823-5840 - [c126]Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng:
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data. ACL (Findings) 2023: 8630-8643 - [c125]Weiwen Xu, Xin Li, Yang Deng, Wai Lam, Lidong Bing:
PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks. ACL (1) 2023: 8681-8699 - [c124]Meng Zhou, Xin Li, Yue Jiang, Lidong Bing:
Enhancing Cross-lingual Prompting with Dual Prompt Augmentation. ACL (Findings) 2023: 11008-11020 - [c123]Bosheng Ding, Chengwei Qin, Linlin Liu, Yew Ken Chia, Boyang Li, Shafiq Joty, Lidong Bing:
Is GPT-3 a Good Data Annotator? ACL (1) 2023: 11173-11195 - [c122]Chang Gao, Wenxuan Zhang, Wai Lam, Lidong Bing:
Easy-to-Hard Learning for Information Extraction. ACL (Findings) 2023: 11913-11930 - [c121]Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing:
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis. ACL (1) 2023: 12272-12285 - [c120]Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing, Tat-Seng Chua:
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling. ACL (1) 2023: 14734-14751 - [c119]Qingyu Tan, Hwee Tou Ng, Lidong Bing:
Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models. ACL (1) 2023: 14820-14835 - [c118]Jia Guo, Stanley Kok, Lidong Bing:
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction. EACL 2023: 2598-2609 - [c117]Hang Zhang, Xin Li, Lidong Bing:
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding. EMNLP (Demos) 2023: 543-553 - [c116]Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, Yang You, Lidong Bing:
Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization. EMNLP (Findings) 2023: 4215-4233 - [c115]Zhiqiang Hu, Lei Wang, Yihuai Lan, Wanyu Xu, Ee-Peng Lim, Lidong Bing, Xing Xu, Soujanya Poria, Roy Ka-Wei Lee:
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models. EMNLP 2023: 5254-5276 - [c114]Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, Yang You, Lidong Bing:
A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization. EMNLP (Findings) 2023: 5872-5887 - [c113]Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing:
SOUL: Towards Sentiment and Opinion Understanding of Language. EMNLP 2023: 8704-8711 - [c112]Liying Cheng, Xingxuan Li, Lidong Bing:
Is GPT-4 a Good Data Analyst? EMNLP (Findings) 2023: 9496-9514 - [c111]Sen Yang, Xin Li, Lidong Bing, Wai Lam:
Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning. EMNLP 2023: 11879-11895 - [c110]Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Wai Lam, Luo Si, Lidong Bing:
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader. NeurIPS 2023 - [c109]Wenxuan Zhang, Mahani Aljunied, Chang Gao, Yew Ken Chia, Lidong Bing:
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models. NeurIPS 2023 - [i109]Jia Guo, Stanley Kok, Lidong Bing:
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction. CoRR abs/2304.00824 (2023) - [i108]Zhiqiang Hu, Yihuai Lan, Lei Wang, Wanyu Xu, Ee-Peng Lim, Roy Ka-Wei Lee, Lidong Bing, Soujanya Poria:
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models. CoRR abs/2304.01933 (2023) - [i107]Ruochen Zhao, Xingxuan Li, Yew Ken Chia, Bosheng Ding, Lidong Bing:
Can ChatGPT-like Generative Models Guarantee Factual Accuracy? On the Mistakes of New Generation Search Engines. CoRR abs/2304.11076 (2023) - [i106]Ruochen Zhao, Xingxuan Li, Shafiq R. Joty, Chengwei Qin, Lidong Bing:
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework. CoRR abs/2305.03268 (2023) - [i105]Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, Yang You, Lidong Bing:
A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization. CoRR abs/2305.08503 (2023) - [i104]Chang Gao, Wenxuan Zhang, Wai Lam, Lidong Bing:
Easy-to-Hard Learning for Information Extraction. CoRR abs/2305.09193 (2023) - [i103]Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing:
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis. CoRR abs/2305.09509 (2023) - [i102]Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua:
Reasoning Implicit Sentiment with Chain-of-Thought Prompting. CoRR abs/2305.11255 (2023) - [i101]Chaoqun Liu, Wenxuan Zhang, Guizhen Chen, Xiaobao Wu, Anh Tuan Luu, Chip-Hong Chang, Lidong Bing:
Zero-Shot Text Classification via Self-Supervised Tuning. CoRR abs/2305.11442 (2023) - [i100]Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing, Tat-Seng Chua:
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling. CoRR abs/2305.11719 (2023) - [i99]Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing:
Enhancing Few-shot NER with Prompt Ordering based Data Augmentation. CoRR abs/2305.11791 (2023) - [i98]Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Anh Tuan Luu, Cong-Duy Nguyen, Zhen Hai, Lidong Bing:
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction. CoRR abs/2305.12678 (2023) - [i97]Chenhui Shen, Liying Cheng, Yang You, Lidong Bing:
Are Large Language Models Good Evaluators for Abstractive Summarization? CoRR abs/2305.13091 (2023) - [i96]Lu Xu, Lidong Bing, Wei Lu:
Better Sampling of Negatives for Distantly Supervised Named Entity Recognition. CoRR abs/2305.13142 (2023) - [i95]Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Lidong Bing, Shafiq R. Joty, Soujanya Poria:
Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases. CoRR abs/2305.13269 (2023) - [i94]Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Chunyan Miao:
Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning. CoRR abs/2305.13628 (2023) - [i93]Weiwen Xu, Xin Li, Wai Lam, Lidong Bing:
mPMR: A Multilingual Pre-trained Machine Reader at Scale. CoRR abs/2305.13645 (2023) - [i92]Yew Ken Chia, Hui Chen, Wei Han, Guizhen Chen, Sharifah Mahani Aljunied, Soujanya Poria, Lidong Bing:
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction. CoRR abs/2305.14434 (2023) - [i91]Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, Lidong Bing:
Sentiment Analysis in the Era of Large Language Models: A Reality Check. CoRR abs/2305.15005 (2023) - [i90]Xingxuan Li, Liying Cheng, Qingyu Tan, Hwee Tou Ng, Shafiq Joty, Lidong Bing:
Unlocking Temporal Question Answering for Large Language Models Using Code Execution. CoRR abs/2305.15014 (2023) - [i89]Liying Cheng, Xingxuan Li, Lidong Bing:
Is GPT-4 a Good Data Analyst? CoRR abs/2305.15038 (2023) - [i88]Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing:
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach. CoRR abs/2305.19902 (2023) - [i87]Hang Zhang, Xin Li, Lidong Bing:
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding. CoRR abs/2306.02858 (2023) - [i86]Yew Ken Chia, Pengfei Hong, Lidong Bing, Soujanya Poria:
INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models. CoRR abs/2306.04757 (2023) - [i85]Wenxuan Zhang, Sharifah Mahani Aljunied, Chang Gao, Yew Ken Chia, Lidong Bing:
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models. CoRR abs/2306.05179 (2023) - [i84]Qingyu Tan, Hwee Tou Ng, Lidong Bing:
Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models. CoRR abs/2306.08952 (2023) - [i83]Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng:
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data. CoRR abs/2306.09697 (2023) - [i82]Xuan-Phi Nguyen, Sharifah Mahani Aljunied, Shafiq Joty, Lidong Bing:
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts. CoRR abs/2306.11372 (2023) - [i81]Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing:
Multilingual Jailbreak Challenges in Large Language Models. CoRR abs/2310.06474 (2023) - [i80]Huiming Wang, Liying Cheng, Zhaodonghui Li, De Wen Soh, Lidong Bing:
Semantic-Aware Contrastive Sentence Representation Learning with Large Language Models. CoRR abs/2310.10962 (2023) - [i79]Sen Yang, Xin Li, Lidong Bing, Wai Lam:
Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning. CoRR abs/2310.14709 (2023) - [i78]Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing:
CLEX: Continuous Length Extrapolation for Large Language Models. CoRR abs/2310.16450 (2023) - [i77]Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing:
SOUL: Towards Sentiment and Opinion Understanding of Language. CoRR abs/2310.17924 (2023) - [i76]Guizhen Chen, Liying Cheng, Luu Anh Tuan, Lidong Bing:
Exploring the Potential of Large Language Models in Computational Argumentation. CoRR abs/2311.09022 (2023) - [i75]Yew Ken Chia, Guizhen Chen, Luu Anh Tuan, Soujanya Poria, Lidong Bing:
Contrastive Chain-of-Thought Prompting. CoRR abs/2311.09277 (2023) - [i74]Sen Yang, Xin Li, Leyang Cui, Lidong Bing, Wai Lam:
Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs. CoRR abs/2311.09802 (2023) - [i73]Qingyu Tan, Hwee Tou Ng, Lidong Bing:
Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning. CoRR abs/2311.09821 (2023) - [i72]Sicong Leng, Hang Zhang, Guanzheng Chen, Xin Li, Shijian Lu, Chunyan Miao, Lidong Bing:
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding. CoRR abs/2311.16922 (2023) - [i71]Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, Lidong Bing:
SeaLLMs - Large Language Models for Southeast Asia. CoRR abs/2312.00738 (2023) - 2022
- [c108]Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si:
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. ACL (Findings) 2022: 45-57 - [c107]Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Mahani Aljunied, Shafiq R. Joty, Luo Si, Chunyan Miao:
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems. ACL (1) 2022: 1639-1657 - [c106]Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng:
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation. ACL (Findings) 2022: 1672-1681 - [c105]Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao:
MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER. ACL (1) 2022: 2251-2262 - [c104]Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si:
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks. ACL (1) 2022: 2277-2287 - [c103]Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, Luo Si:
MReD: A Meta-Review Dataset for Structure-Controllable Text Generation. ACL (Findings) 2022: 2521-2535 - [c102]Linlin Liu, Thien Hai Nguyen, Shafiq R. Joty, Lidong Bing, Luo Si:
Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings. COLING 2022: 4381-4396 - [c101]Wei Han, Hui Chen, Zhen Hai, Soujanya Poria, Lidong Bing:
SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning. COLING 2022: 5666-5677 - [c100]Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng:
Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning. COLING 2022: 6916-6926 - [c99]Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam:
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation. EMNLP 2022: 6456-6472 - [c98]Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq R. Joty, Luo Si:
Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples. EMNLP 2022: 6878-6890 - [c97]Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao:
ConNER: Consistency Training for Cross-lingual Named Entity Recognition. EMNLP 2022: 8438-8449 - [c96]Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng, Sharifah Mahani Aljunied:
Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction. EMNLP 2022: 8472-8487 - [c95]Thong Nguyen, Xiaobao Wu, Anh Tuan Luu, Zhen Hai, Lidong Bing:
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction. EMNLP 2022: 10085-10096 - [c94]Yew Ken Chia, Lidong Bing, Sharifah Mahani Aljunied, Luo Si, Soujanya Poria:
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach. EMNLP 2022: 10114-10133 - [c93]Chenhui Shen, Liying Cheng, Lidong Bing, Yang You, Luo Si:
SentBS: Sentence-level Beam Search for Controllable Summarization. EMNLP 2022: 10256-10265 - [c92]Sicheng Yu, Jing Jiang, Hao Zhang, Yulei Niu, Qianru Sun, Lidong Bing:
Interventional Training for Out-Of-Distribution Natural Language Understanding. EMNLP 2022: 11627-11638 - [i70]Meng Zhou, Xin Li, Yue Jiang, Lidong Bing:
Enhancing Cross-lingual Prompting with Mask Token Augmentation. CoRR abs/2202.07255 (2022) - [i69]Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam:
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges. CoRR abs/2203.01054 (2022) - [i68]Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si:
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. CoRR abs/2203.09101 (2022) - [i67]Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng:
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation. CoRR abs/2203.10900 (2022) - [i66]Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si:
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks. CoRR abs/2203.12257 (2022) - [i65]Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng:
Revisiting DocRED - Addressing the Overlooked False Negative Problem in Relation Extraction. CoRR abs/2205.12696 (2022) - [i64]Wei Han, Hui Chen, Zhen Hai, Soujanya Poria, Lidong Bing:
SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning. CoRR abs/2209.05040 (2022) - [i63]Zihao Fu, Yijiang River Dong, Lidong Bing, Wai Lam:
Informative Text Generation from Knowledge Triples. CoRR abs/2209.12733 (2022) - [i62]Weiwen Xu, Xin Li, Yang Deng, Lidong Bing, Wai Lam:
PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks. CoRR abs/2210.08855 (2022) - [i61]Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam:
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation. CoRR abs/2210.09773 (2022) - [i60]Chenhui Shen, Liying Cheng, Lidong Bing, Yang You, Luo Si:
SentBS: Sentence-level Beam Search for Controllable Summarization. CoRR abs/2210.14502 (2022) - [i59]Thong Nguyen, Xiaobao Wu, Anh Tuan Luu, Cong-Duy Nguyen, Zhen Hai, Lidong Bing:
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions. CoRR abs/2211.03524 (2022) - [i58]Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Lidong Bing, Shafiq R. Joty, Luo Si:
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations. CoRR abs/2211.08794 (2022) - [i57]Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao:
ConNER: Consistency Training for Cross-lingual Named Entity Recognition. CoRR abs/2211.09394 (2022) - [i56]Yew Ken Chia, Lidong Bing, Sharifah Aljunied Mahani, Luo Si, Soujanya Poria:
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach. CoRR abs/2211.10018 (2022) - [i55]Zihao Fu, Haoran Yang, Anthony Man-Cho So, Wai Lam, Lidong Bing, Nigel Collier:
On the Effectiveness of Parameter-Efficient Fine-Tuning. CoRR abs/2211.15583 (2022) - [i54]Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Lidong Bing, Wai Lam, Luo Si:
From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader. CoRR abs/2212.04755 (2022) - [i53]Bosheng Ding, Chengwei Qin, Linlin Liu, Lidong Bing, Shafiq R. Joty, Boyang Li:
Is GPT-3 a Good Data Annotator? CoRR abs/2212.10450 (2022) - [i52]Xingxuan Li, Yutong Li, Linlin Liu, Lidong Bing, Shafiq R. Joty:
Is GPT-3 a Psychopath? Evaluating Large Language Models from a Psychological Perspective. CoRR abs/2212.10529 (2022) - 2021
- [j12]Soujanya Poria, Yew-Soon Ong, Bing Liu, Lidong Bing:
Affect Recognition for Multimodal Natural Language Processing. Cogn. Comput. 13(2): 229-230 (2021) - [j11]Yongzhen Wang, Kaisong Song, Lidong Bing, Xiaozhong Liu:
Harvest shopping advice: Neural Question Generation from multiple information sources in E-commerce. Neurocomputing 433: 252-262 (2021) - [c91]Bowen Qin, Min Yang, Lidong Bing, Qingshan Jiang, Chengming Li, Ruifeng Xu:
Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning. AAAI 2021: 13701-13708 - [c90]Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam:
Towards Generative Aspect-Based Sentiment Analysis. ACL/IJCNLP (2) 2021: 504-510 - [c89]Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si:
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation. ACL/IJCNLP (1) 2021: 2208-2222 - [c88]Lu Xu, Yew Ken Chia, Lidong Bing:
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction. ACL/IJCNLP (1) 2021: 4755-4766 - [c87]Yan Zhang, Ruidan He, Zuozhu Liu, Lidong Bing, Haizhou Li:
Bootstrapped Unsupervised Sentence Representation Learning. ACL/IJCNLP (1) 2021: 5168-5180 - [c86]Linlin Liu, Bosheng Ding, Lidong Bing, Shafiq R. Joty, Luo Si, Chunyan Miao:
MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER. ACL/IJCNLP (1) 2021: 5834-5846 - [c85]Junhao Liu, Zhen Hai, Min Yang, Lidong Bing:
Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews. ACL/IJCNLP (1) 2021: 5927-5936 - [c84]Liying Cheng, Tianyu Wu, Lidong Bing, Luo Si:
Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding. ACL/IJCNLP (1) 2021: 6341-6353 - [c83]Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam:
Multilingual AMR Parsing with Noisy Knowledge Distillation. EMNLP (Findings) 2021: 2778-2789 - [c82]Wenxuan Zhang, Yang Deng, Xin Li, Lidong Bing, Wai Lam:
Aspect-based Sentiment Analysis in Question Answering Forums. EMNLP (Findings) 2021: 4582-4591 - [c81]Wenxuan Zhang, Yang Deng, Xin Li, Yifei Yuan, Lidong Bing, Wai Lam:
Aspect Sentiment Quad Prediction as Paraphrase Generation. EMNLP (1) 2021: 9209-9219 - [c80]Wenxuan Zhang, Ruidan He, Haiyun Peng, Lidong Bing, Wai Lam:
Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching. EMNLP (1) 2021: 9220-9230 - [c79]Lu Xu, Zhanming Jie, Wei Lu, Lidong Bing:
Better Feature Integration for Named Entity Recognition. NAACL-HLT 2021: 3457-3469 - [c78]Jian Yuan, Liying Cheng, Ruidan He, Yinzi Li, Lidong Bing, Zhongyu Wei, Qin Liu, Chenhui Shen, Shuonan Zhang, Changlong Sun, Luo Si, Changjian Jiang, Xuanjing Huang:
Overview of Argumentative Text Understanding for AI Debater Challenge. NLPCC (2) 2021: 548-568 - [i51]Linlin Liu, Thien Hai Nguyen, Shafiq R. Joty, Lidong Bing, Luo Si:
Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings. CoRR abs/2103.06459 (2021) - [i50]Lu Xu, Zhanming Jie, Wei Lu, Lidong Bing:
Better Feature Integration for Named Entity Recognition. CoRR abs/2104.05316 (2021) - [i49]Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si:
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation. CoRR abs/2106.03164 (2021) - [i48]Lu Xu, Yew Ken Chia, Lidong Bing:
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction. CoRR abs/2107.12214 (2021) - [i47]Ran Zhou, Ruidan He, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao:
MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER. CoRR abs/2108.13655 (2021) - [i46]Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam:
Multilingual AMR Parsing with Noisy Knowledge Distillation. CoRR abs/2109.15196 (2021) - [i45]Wenxuan Zhang, Yang Deng, Xin Li, Yifei Yuan, Lidong Bing, Wai Lam:
Aspect Sentiment Quad Prediction as Paraphrase Generation. CoRR abs/2110.00796 (2021) - [i44]Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, Luo Si:
MReD: A Meta-Review Dataset for Controllable Text Generation. CoRR abs/2110.07474 (2021) - [i43]Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Aljunied Mahani, Shafiq R. Joty, Luo Si, Chunyan Miao:
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems. CoRR abs/2110.07679 (2021) - [i42]Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq R. Joty, Luo Si:
Knowledge Based Multilingual Language Model. CoRR abs/2111.10962 (2021) - 2020
- [j10]Tianshu Lyu, Lidong Bing, Zhao Zhang, Yan Zhang:
FOX: Fast Overlapping Community Detection Algorithm in Big Weighted Networks. ACM Trans. Soc. Comput. 3(3): 16:1-16:23 (2020) - [c77]Zihao Fu, Lidong Bing, Wai Lam:
Open Domain Event Text Generation. AAAI 2020: 7748-7755 - [c76]Juntao Li, Chang Liu, Jian Wang, Lidong Bing, Hongsong Li, Xiaozhong Liu, Dongyan Zhao, Rui Yan:
Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce. AAAI 2020: 8212-8219 - [c75]Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si:
Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis. AAAI 2020: 8600-8607 - [c74]Rongxiang Weng, Hao-Ran Wei, Shujian Huang, Heng Yu, Lidong Bing, Weihua Luo, Jiajun Chen:
GRET: Global Representation Enhanced Transformer. AAAI 2020: 9258-9265 - [c73]Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si:
Review-based Question Generation with Adaptive Instance Transfer and Augmentation. ACL 2020: 280-290 - [c72]Canasai Kruengkrai, Thien Hai Nguyen, Sharifah Aljunied Mahani, Lidong Bing:
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling. ACL 2020: 5898-5905 - [c71]Zihao Fu, Lidong Bing, Wai Lam, Shoaib Jameel:
Dynamic Topic Tracker for KB-to-Text Generation. COLING 2020: 2369-2380 - [c70]Liying Cheng, Dekun Wu, Lidong Bing, Yan Zhang, Zhanming Jie, Wei Lu, Luo Si:
ENT-DESC: Entity Description Generation by Exploring Knowledge Graph. EMNLP (1) 2020: 1187-1197 - [c69]Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing:
An Unsupervised Sentence Embedding Method by Mutual Information Maximization. EMNLP (1) 2020: 1601-1610 - [c68]Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing:
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation. EMNLP (1) 2020: 2162-2172 - [c67]Lu Xu, Hao Li, Wei Lu, Lidong Bing:
Position-Aware Tagging for Aspect Sentiment Triplet Extraction. EMNLP (1) 2020: 2339-2349 - [c66]Lu Xu, Lidong Bing, Wei Lu, Fei Huang:
Aspect Sentiment Classification with Aspect-Specific Opinion Spans. EMNLP (1) 2020: 3561-3567 - [c65]Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq R. Joty, Luo Si, Chunyan Miao:
DAGA: Data Augmentation with a Generation Approach forLow-resource Tagging Tasks. EMNLP (1) 2020: 6045-6057 - [c64]Liying Cheng, Lidong Bing, Qian Yu, Wei Lu, Luo Si:
APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning. EMNLP (1) 2020: 7000-7011 - [c63]Hai Ye, Qingyu Tan, Ruidan He, Juntao Li, Hwee Tou Ng, Lidong Bing:
Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training. EMNLP (1) 2020: 7386-7399 - [c62]Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu:
Partially-Aligned Data-to-Text Generation with Distant Supervision. EMNLP (1) 2020: 9183-9193 - [c61]Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan:
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model. IJCAI 2020: 3672-3678 - [c60]Zihao Fu, Bei Shi, Lidong Bing, Wai Lam:
Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning. AACL/IJCNLP 2020: 258-268 - [i41]Rongxiang Weng, Hao-Ran Wei, Shujian Huang, Heng Yu, Lidong Bing, Weihua Luo, Jiajun Chen:
GRET: Global Representation Enhanced Transformer. CoRR abs/2002.10101 (2020) - [i40]Piji Li, Lidong Bing, Zhongyu Wei, Wai Lam:
Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization. CoRR abs/2004.03589 (2020) - [i39]Liying Cheng, Yan Zhang, Dekun Wu, Zhanming Jie, Lidong Bing, Wei Lu, Luo Si:
Knowledge Graph Empowered Entity Description Generation. CoRR abs/2004.14813 (2020) - [i38]Juntao Li, Chang Liu, Jian Wang, Lidong Bing, Hongsong Li, Xiaozhong Liu, Dongyan Zhao, Rui Yan:
Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce. CoRR abs/2005.08188 (2020) - [i37]Hai Ye, Qingyu Tan, Ruidan He, Juntao Li, Hwee Tou Ng, Lidong Bing:
Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification. CoRR abs/2009.11538 (2020) - [i36]Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing:
An Unsupervised Sentence Embedding Method byMutual Information Maximization. CoRR abs/2009.12061 (2020) - [i35]Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu:
Partially-Aligned Data-to-Text Generation with Distant Supervision. CoRR abs/2010.01268 (2020) - [i34]Lu Xu, Hao Li, Wei Lu, Lidong Bing:
Position-Aware Tagging for Aspect Sentiment Triplet Extraction. CoRR abs/2010.02609 (2020) - [i33]Lu Xu, Lidong Bing, Wei Lu, Fei Huang:
Aspect Sentiment Classification with Aspect-Specific Opinion Spans. CoRR abs/2010.02696 (2020) - [i32]Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing:
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation. CoRR abs/2010.04383 (2020) - [i31]Xin Li, Lidong Bing, Wenxuan Zhang, Zheng Li, Wai Lam:
Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond. CoRR abs/2010.12405 (2020) - [i30]Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq R. Joty, Luo Si, Chunyan Miao:
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks. CoRR abs/2011.01549 (2020) - [i29]Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan:
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model. CoRR abs/2011.11499 (2020)
2010 – 2019
- 2019
- [c59]Juntao Li, Lidong Bing, Lisong Qiu, Dongmin Chen, Dongyan Zhao, Rui Yan:
Learning to Write Stories with Thematic Consistency and Wording Novelty. AAAI 2019: 1715-1722 - [c58]Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan:
Abstractive Text Summarization by Incorporating Reader Comments. AAAI 2019: 6399-6406 - [c57]Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu:
Generating Distractors for Reading Comprehension Questions from Real Examinations. AAAI 2019: 6423-6430 - [c56]Xin Li, Lidong Bing, Piji Li, Wai Lam:
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. AAAI 2019: 6714-6721 - [c55]Xin Li, Lidong Bing, Wenxuan Zhang, Wai Lam:
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis. W-NUT@EMNLP 2019: 34-41 - [c54]Kaisong Song, Lidong Bing, Wei Gao, Jun Lin, Lujun Zhao, Jiancheng Wang, Changlong Sun, Xiaozhong Liu, Qi Zhang:
Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning. EMNLP/IJCNLP (1) 2019: 198-207 - [c53]Zihao Wang, Kwun Ping Lai, Piji Li, Lidong Bing, Wai Lam:
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion. EMNLP/IJCNLP (1) 2019: 250-260 - [c52]Linlin Liu, Xiang Lin, Shafiq R. Joty, Simeng Han, Lidong Bing:
Hierarchical Pointer Net Parsing. EMNLP/IJCNLP (1) 2019: 1007-1017 - [c51]Ran Le, Wenpeng Hu, Mingyue Shang, Zhenjun You, Lidong Bing, Dongyan Zhao, Rui Yan:
Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations. EMNLP/IJCNLP (1) 2019: 1909-1919 - [c50]Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu:
Improving Question Generation With to the Point Context. EMNLP/IJCNLP (1) 2019: 3214-3224 - [c49]Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang:
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. EMNLP/IJCNLP (1) 2019: 4589-4599 - [c48]Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi, Rui Yan:
Semi-supervised Text Style Transfer: Cross Projection in Latent Space. EMNLP/IJCNLP (1) 2019: 4936-4945 - [c47]Chuang Fan, Hongyu Yan, Jiachen Du, Lin Gui, Lidong Bing, Min Yang, Ruifeng Xu, Ruibin Mao:
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis. EMNLP/IJCNLP (1) 2019: 5613-5623 - [c46]Yifan Gao, Lidong Bing, Wang Chen, Michael R. Lyu, Irwin King:
Difficulty Controllable Generation of Reading Comprehension Questions. IJCAI 2019: 4968-4974 - [c45]Wang Chen, Hou Pong Chan, Piji Li, Lidong Bing, Irwin King:
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction. NAACL-HLT (1) 2019: 2846-2856 - [c44]Piji Li, Zihao Wang, Lidong Bing, Wai Lam:
Persona-Aware Tips Generation? WWW 2019: 1006-1016 - [i28]Piji Li, Zihao Wang, Lidong Bing, Wai Lam:
Persona-Aware Tips Generation. CoRR abs/1903.02156 (2019) - [i27]Wang Chen, Hou Pong Chan, Piji Li, Lidong Bing, Irwin King:
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction. CoRR abs/1904.03454 (2019) - [i26]Linlin Liu, Xiang Lin, Shafiq R. Joty, Simeng Han, Lidong Bing:
Hierarchical Pointer Net Parsing. CoRR abs/1908.11571 (2019) - [i25]Zihao Wang, Kwun Ping Lai, Piji Li, Lidong Bing, Wai Lam:
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion. CoRR abs/1909.11359 (2019) - [i24]Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi, Rui Yan:
Semi-supervised Text Style Transfer: Cross Projection in Latent Space. CoRR abs/1909.11493 (2019) - [i23]Xin Li, Lidong Bing, Wenxuan Zhang, Wai Lam:
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis. CoRR abs/1910.00883 (2019) - [i22]Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu:
Improving Question Generation With to the Point Context. CoRR abs/1910.06036 (2019) - [i21]Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang:
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. CoRR abs/1910.14192 (2019) - [i20]Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si:
Review-based Question Generation with Adaptive Instance Transfer and Augmentation. CoRR abs/1911.01556 (2019) - [i19]Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si:
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis. CoRR abs/1911.01616 (2019) - 2018
- [j9]Lidong Bing, Zheng-Yu Niu, Piji Li, Wai Lam, Haifeng Wang:
Learning a unified embedding space of web search from large-scale query log. Knowl. Based Syst. 150: 38-48 (2018) - [j8]Yi Liao, Wai Lam, Lidong Bing, Xin Shen:
Joint Modeling of Participant Influence and Latent Topics for Recommendation in Event-based Social Networks. ACM Trans. Inf. Syst. 36(3): 29:1-29:31 (2018) - [c43]Xin Li, Lidong Bing, Wai Lam, Bei Shi:
Transformation Networks for Target-Oriented Sentiment Classification. ACL (1) 2018: 946-956 - [c42]Bei Shi, Zihao Fu, Lidong Bing, Wai Lam:
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings. ACL (1) 2018: 2494-2504 - [c41]Di Chen, Jiachen Du, Lidong Bing, Ruifeng Xu:
Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates. EMNLP 2018: 665-670 - [c40]Thanapon Noraset, Doug Downey, Lidong Bing:
Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models. EMNLP 2018: 2930-2935 - [c39]Jiachen Du, Wenjie Li, Yulan He, Ruifeng Xu, Lidong Bing, Xuan Wang:
Variational Autoregressive Decoder for Neural Response Generation. EMNLP 2018: 3154-3163 - [c38]Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, Tong Zhang:
QuaSE: Sequence Editing under Quantifiable Guidance. EMNLP 2018: 3855-3864 - [c37]Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang:
Aspect Term Extraction with History Attention and Selective Transformation. IJCAI 2018: 4194-4200 - [c36]Haitian Sun, William W. Cohen, Lidong Bing:
Semi-Supervised Learning with Declaratively Specified Entropy Constraints. NeurIPS 2018: 4430-4440 - [i18]Piji Li, Lidong Bing, Wai Lam:
Actor-Critic based Training Framework for Abstractive Summarization. CoRR abs/1803.11070 (2018) - [i17]Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, Tong Zhang:
Incorporating Pseudo-Parallel Data for Quantifiable Sequence Editing. CoRR abs/1804.07007 (2018) - [i16]Haitian Sun, William W. Cohen, Lidong Bing:
Semi-Supervised Learning with Declaratively Specified Entropy Constraints. CoRR abs/1804.09238 (2018) - [i15]Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang:
Aspect Term Extraction with History Attention and Selective Transformation. CoRR abs/1805.00760 (2018) - [i14]Xin Li, Lidong Bing, Wai Lam, Bei Shi:
Transformation Networks for Target-Oriented Sentiment Classification. CoRR abs/1805.01086 (2018) - [i13]Bei Shi, Zihao Fu, Lidong Bing, Wai Lam:
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings. CoRR abs/1805.03801 (2018) - [i12]Yifan Gao, Jianan Wang, Lidong Bing, Irwin King, Michael R. Lyu:
Difficulty Controllable Question Generation for Reading Comprehension. CoRR abs/1807.03586 (2018) - [i11]Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu:
Generating Distractors for Reading Comprehension Questions from Real Examinations. CoRR abs/1809.02768 (2018) - [i10]Xin Li, Lidong Bing, Piji Li, Wai Lam:
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. CoRR abs/1811.05082 (2018) - [i9]Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan:
Abstractive Text Summarization by Incorporating Reader Comments. CoRR abs/1812.05407 (2018) - 2017
- [j7]Lidong Bing, Zhiming Zhang, Wai Lam, William W. Cohen:
Towards a language-independent solution: Knowledge base completion by searching the Web and deriving language pattern. Knowl. Based Syst. 115: 80-86 (2017) - [c35]Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen:
Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora. AAAI 2017: 3408-3414 - [c34]Piji Li, Zihao Wang, Wai Lam, Zhaochun Ren, Lidong Bing:
Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization. AAAI 2017: 3497-3503 - [c33]Piji Li, Lidong Bing, Wai Lam:
Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset. NFiS@EMNLP 2017: 91-99 - [c32]Peng Chen, Zhongqian Sun, Lidong Bing, Wei Yang:
Recurrent Attention Network on Memory for Aspect Sentiment Analysis. EMNLP 2017: 452-461 - [c31]Piji Li, Wai Lam, Lidong Bing, Weiwei Guo, Hang Li:
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization. EMNLP 2017: 2081-2090 - [c30]Piji Li, Wai Lam, Lidong Bing, Zihao Wang:
Deep Recurrent Generative Decoder for Abstractive Text Summarization. EMNLP 2017: 2091-2100 - [c29]Lidong Bing, William W. Cohen, Bhuwan Dhingra:
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning. IJCAI 2017: 1454-1460 - [c28]Piji Li, Zihao Wang, Zhaochun Ren, Lidong Bing, Wai Lam:
Neural Rating Regression with Abstractive Tips Generation for Recommendation. SIGIR 2017: 345-354 - [i8]Lidong Bing, William W. Cohen, Bhuwan Dhingra:
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning. CoRR abs/1703.01557 (2017) - [i7]Piji Li, Zihao Wang, Zhaochun Ren, Lidong Bing, Wai Lam:
Neural Rating Regression with Abstractive Tips Generation for Recommendation. CoRR abs/1708.00154 (2017) - [i6]Piji Li, Wai Lam, Lidong Bing, Zihao Wang:
Deep Recurrent Generative Decoder for Abstractive Text Summarization. CoRR abs/1708.00625 (2017) - [i5]Piji Li, Lidong Bing, Wai Lam:
Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset. CoRR abs/1708.01065 (2017) - 2016
- [j6]Lidong Bing, Tak-Lam Wong, Wai Lam:
Unsupervised Extraction of Popular Product Attributes from E-Commerce Web Sites by Considering Customer Reviews. ACM Trans. Internet Techn. 16(2): 12:1-12:17 (2016) - [c27]Lidong Bing, Mingyang Ling, Richard C. Wang, William W. Cohen:
Distant IE by Bootstrapping Using Lists and Document Structure. AAAI 2016: 2899-2905 - [c26]Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu:
Detecting Common Discussion Topics Across Culture From News Reader Comments. ACL (1) 2016 - [c25]Lidong Bing, Zheng-Yu Niu, Wai Lam, Haifeng Wang:
Learning a Semantic Space of Web Search via Session Data. AIRS 2016: 83-97 - [c24]Lidong Bing, William W. Cohen, Bhuwan Dhingra, Richard C. Wang:
Using Graphs of Classifiers to Impose Constraints on Semi-supervised Relation Extraction. AKBC@NAACL-HLT 2016: 1-6 - [c23]Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu:
Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity. CIKM 2016: 2293-2298 - [c22]Tianshu Lyu, Lidong Bing, Zhao Zhang, Yan Zhang:
Efficient and Scalable Detection of Overlapping Communities in Big Networks. ICDM 2016: 1071-1076 - [c21]Kwun Ping Lai, Wai Lam, Lidong Bing:
CUIS at the NTCIR-12 MobileClick2 Task. NTCIR 2016 - [i4]Lidong Bing, Mingyang Ling, Richard C. Wang, William W. Cohen:
Distant IE by Bootstrapping Using Lists and Document Structure. CoRR abs/1601.00620 (2016) - [i3]Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen:
Bootstrapping Distantly Supervised IE using Joint Learning and Small Well-structured Corpora. CoRR abs/1606.03398 (2016) - 2015
- [j5]Shoaib Jameel, Wai Lam, Lidong Bing:
Supervised topic models with word order structure for document classification and retrieval learning. Inf. Retr. J. 18(4): 283-330 (2015) - [j4]Lidong Bing, Shan Jiang, Wai Lam, Yan Zhang, Shoaib Jameel:
Adaptive Concept Resolution for document representation and its applications in text mining. Knowl. Based Syst. 74: 1-13 (2015) - [j3]Lidong Bing, Wai Lam, Tak-Lam Wong, Shoaib Jameel:
Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context. ACM Trans. Inf. Syst. 33(2): 6:1-6:38 (2015) - [c20]Lidong Bing, Piji Li, Yi Liao, Wai Lam, Weiwei Guo, Rebecca J. Passonneau:
Abstractive Multi-Document Summarization via Phrase Selection and Merging. ACL (1) 2015: 1587-1597 - [c19]Shoaib Jameel, Wai Lam, Steven Schockaert, Lidong Bing:
A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank. CIKM 2015: 103-112 - [c18]Shoaib Jameel, Wai Lam, Lidong Bing:
Nonparametric Topic Modeling Using Chinese Restaurant Franchise with Buddy Customers. ECIR 2015: 648-659 - [c17]Lidong Bing, Sneha Chaudhari, Richard C. Wang, William W. Cohen:
Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists. EMNLP 2015: 524-529 - [c16]Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu:
Multilingual Viewpoint Detection from news comments. IALP 2015: 189-192 - [c15]Piji Li, Lidong Bing, Wai Lam, Hang Li, Yi Liao:
Reader-Aware Multi-Document Summarization via Sparse Coding. IJCAI 2015: 1270-1276 - [i2]Piji Li, Lidong Bing, Wai Lam, Hang Li, Yi Liao:
Reader-Aware Multi-Document Summarization via Sparse Coding. CoRR abs/1504.07324 (2015) - [i1]Lidong Bing, Piji Li, Yi Liao, Wai Lam, Weiwei Guo, Rebecca J. Passonneau:
Abstractive Multi-Document Summarization via Phrase Selection and Merging. CoRR abs/1506.01597 (2015) - 2014
- [c14]Lidong Bing, Wai Lam, Shoaib Jameel, Chunliang Lu:
Website Community Mining from Query Logs with Two-Phase Clustering. CICLing (2) 2014: 201-212 - [c13]Lidong Bing, Rui Guo, Wai Lam, Zheng-Yu Niu, Haifeng Wang:
Web page segmentation with structured prediction and its application in web page classification. SIGIR 2014: 767-776 - 2013
- [j2]Chunliang Lu, Lidong Bing, Wai Lam, Ki Chan, Yuan Gu:
Web Entity Detection for Semi-structured Text Data Records with Unlabeled Data. Int. J. Comput. Linguistics Appl. 4(2): 135-150 (2013) - [j1]Lidong Bing, Wai Lam, Tak-Lam Wong:
Robust detection of semi-structured web records using a DOM structure-knowledge-driven model. ACM Trans. Web 7(4): 21:1-21:32 (2013) - [c12]Chunliang Lu, Lidong Bing, Wai Lam:
Structured positional entity language model for enterprise entity retrieval. CIKM 2013: 129-138 - [c11]Shan Jiang, Lidong Bing, Yan Zhang:
Towards an enhanced and adaptable ontology by distilling and assembling online encyclopedias. CIKM 2013: 1703-1708 - [c10]Lidong Bing, Wai Lam, Tak-Lam Wong:
Wikipedia entity expansion and attribute extraction from the web using semi-supervised learning. WSDM 2013: 567-576 - 2012
- [b1]Lidong Bing:
Information discovery from semi-structured record sets on the Web. Chinese University of Hong Kong, Hong Kong, 2012 - [c9]Lidong Bing, Tak-Lam Wong, Wai Lam:
Unsupervised Extraction of Popular Product Attributes from Web Sites. AIRS 2012: 437-446 - 2011
- [c8]Lidong Bing, Wai Lam, Tak-Lam Wong:
Using query log and social tagging to refine queries based on latent topics. CIKM 2011: 583-592 - [c7]Lidong Bing, Wai Lam, Yuan Gu:
Towards a unified solution: data record region detection and segmentation. CIKM 2011: 1265-1274 - [c6]Shan Jiang, Lidong Bing, Bai Sun, Yan Zhang, Wai Lam:
Ontology enhancement and concept granularity learning: keeping yourself current and adaptive. KDD 2011: 1244-1252 - [c5]Tak-Lam Wong, Lidong Bing, Wai Lam:
Normalizing web product attributes and discovering domain ontology with minimal effort. WSDM 2011: 805-814 - 2010
- [c4]Lidong Bing, Bai Sun, Shan Jiang, Yan Zhang, Wai Lam:
Learning ontology resolution for document representation and its applications in text mining. CIKM 2010: 1713-1716
2000 – 2009
- 2008
- [c3]Lidong Bing, Yexin Wang, Yan Zhang, Hui Wang:
Primary content extraction with Mountain Model. CIT 2008: 479-484 - [c2]Yi Zhang, Yexin Wang, Lidong Bing, Yan Zhang:
Weighting Links Using Lexical and Positional Analysis in Web Ranking. WAIM 2008: 9-16 - 2007
- [c1]Yi Zhang, Lidong Bing, Yexin Wang, Yan Zhang:
LET: Towards More Precise Clustering of Search Results. FSKD (2) 2007: 385-389
Coauthor Index
Sharifah Mahani Aljunied
aka: Sharifah Aljunied Mahani
aka: Sharifah Aljunied Mahani
Shafiq R. Joty
aka: Shafiq Joty
aka: Shafiq Joty
[j13] [c136] [c133] [c125] [c122] [c111] [c110] [i104] [i93] [i79] [i74] [c99] [i69] [i63] [i62] [i61] [i55] [i54] [c90] [c83] [c82] [c81] [c80] [i46] [i45] [c77] [c73] [c71] [c62] [c60] [i40] [i35] [i31] [c56] [c55] [c53] [c44] [i28] [i25] [i23] [i20] [j9] [j8] [c43] [c42] [c38] [c37] [i18] [i17] [i15] [i14] [i13] [i10] [j7] [c34] [c33] [c31] [c30] [c28] [i7] [i6] [i5] [j6] [c26] [c25] [c23] [c21] [j5] [j4] [j3] [c20] [c19] [c18] [c16] [c15] [i2] [i1] [c14] [c13] [j2] [j1] [c12] [c10] [c9] [c8] [c7] [c6] [c5] [c4]
[c146] [c145] [c140] [i121] [i119] [i116] [i113] [i112] [i110] [j13] [c135] [c133] [c130] [c129] [c125] [c124] [c117] [c111] [c110] [i94] [i93] [i88] [i87] [i79] [i78] [i74] [i72] [i71] [c105] [c99] [c98] [c97] [i70] [i69] [i62] [i61] [i58] [i57] [i54] [c90] [c83] [c82] [c81] [i47] [i46] [i45] [i42] [i31] [c56] [c55] [c49] [i23] [i21] [c43] [c37] [i15] [i14] [i10]
Anh Tuan Luu
aka: Luu Anh Tuan
aka: Luu Anh Tuan
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