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2020 – today
- 2024
[c27]Haochen Tan, Zhijiang Guo, Zhan Shi, Lu Xu, Zhili Liu, Yunlong Feng, Xiaoguang Li, Yasheng Wang, Lifeng Shang, Qun Liu, Linqi Song:
ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models. ACL (1) 2024: 6806-6827- [c26]Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo:
Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions. ACL (Findings) 2024: 10650-10671 - [c25]Linzi Xing, Xinglu Wang, Yuxi Feng, Zhenan Fan, Jing Xiong, Zhijiang Guo, Xiaojin Fu, Rindra Ramamonjison, Mahdi Mostajabdaveh, Xiongwei Han, Zirui Zhou, Yong Zhang:
Towards Human-aligned Evaluation for Linear Programming Word Problems. LREC/COLING 2024: 16550-16556 - [c24]Caiqi Zhang, Zhijiang Guo, Andreas Vlachos:
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese. EMNLP 2024: 1899-1914 - [c23]Jing Jin, Houfeng Wang, Hao Zhang, Xiaoguang Li, Zhijiang Guo:
DVD: Dynamic Contrastive Decoding for Knowledge Amplification in Multi-Document Question Answering. EMNLP 2024: 4624-4637 - [c22]Zehan Qi, Rongwu Xu, Zhijiang Guo, Cunxiang Wang, Hao Zhang, Wei Xu:
LONG²RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall. EMNLP (Findings) 2024: 4852-4872 - [c21]Rongwu Xu, Zehan Qi, Zhijiang Guo, Cunxiang Wang, Hongru Wang, Yue Zhang, Wei Xu:
Knowledge Conflicts for LLMs: A Survey. EMNLP 2024: 8541-8565 - [c20]Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo:
Towards Understanding Factual Knowledge of Large Language Models. ICLR 2024 - [c19]Jing Xiong, Zixuan Li, Chuanyang Zheng, Zhijiang Guo, Yichun Yin, Enze Xie, Zhicheng Yang, Qingxing Cao, Haiming Wang, Xiongwei Han, Jing Tang, Chengming Li, Xiaodan Liang:
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning. ICLR 2024 - [i41]Haochen Tan, Zhijiang Guo, Zhan Shi, Lu Xu, Zhili Liu, Xiaoguang Li, Yasheng Wang, Lifeng Shang, Qun Liu, Linqi Song:
PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models. CoRR abs/2401.15042 (2024) - [i40]Caiqi Zhang, Zhijiang Guo, Andreas Vlachos:
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese. CoRR abs/2401.15498 (2024) - [i39]Jianqiao Lu, Wanjun Zhong, Yufei Wang, Zhijiang Guo, Qi Zhu, Wenyong Huang, Yanlin Wang, Fei Mi, Baojun Wang, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu:
YODA: Teacher-Student Progressive Learning for Language Models. CoRR abs/2401.15670 (2024) - [i38]Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen
, Philip S. Yu, Zhijiang Guo:
Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions. CoRR abs/2403.12077 (2024) - [i37]Yinhong Liu, Han Zhou, Zhijiang Guo, Ehsan Shareghi, Ivan Vulic, Anna Korhonen, Nigel Collier:
Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators. CoRR abs/2403.16950 (2024) - [i36]Yuxuan Yao, Han Wu, Zhijiang Guo, Biyan Zhou, Jiahui Gao, Sichun Luo, Hanxu Hou, Xiaojin Fu, Linqi Song:
Learning From Correctness Without Prompting Makes LLM Efficient Reasoner. CoRR abs/2403.19094 (2024) - [i35]Chunlin Tian, Zhan Shi, Zhijiang Guo, Li Li, Chengzhong Xu:
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning. CoRR abs/2404.19245 (2024) - [i34]Jianbo Dai, Jianqiao Lu, Yunlong Feng, Rongju Ruan, Ming Cheng, Haochen Tan, Zhijiang Guo:
MHPP: Exploring the Capabilities and Limitations of Language Models Beyond Basic Code Generation. CoRR abs/2405.11430 (2024) - [i33]Dong Huang, Jianbo Dai, Han Weng, Puzhen Wu, Yuhao Qing, Jie M. Zhang, Heming Cui, Zhijiang Guo:
SOAP: Enhancing Efficiency of Generated Code via Self-Optimization. CoRR abs/2405.15189 (2024) - [i32]Jianqiao Lu, Zhiyang Dou, Hongru Wang, Zeyu Cao, Jianbo Dai, Yingjia Wan, Yinya Huang, Zhijiang Guo:
AutoCV: Empowering Reasoning with Automated Process Labeling via Confidence Variation. CoRR abs/2405.16802 (2024) - [i31]Huanshuo Liu, Hao Zhang, Zhijiang Guo, Kuicai Dong, Xiangyang Li, Yi Quan Lee, Cong Zhang, Yong Liu:
CtrlA: Adaptive Retrieval-Augmented Generation via Probe-Guided Control. CoRR abs/2405.18727 (2024) - [i30]Jianqiao Lu, Zhengying Liu, Yingjia Wan, Yinya Huang, Haiming Wang, Zhicheng Yang, Jing Tang, Zhijiang Guo:
Process-Driven Autoformalization in Lean 4. CoRR abs/2406.01940 (2024) - [i29]Zhongshen Zeng, Yinhong Liu, Yingjia Wan, Jingyao Li, Pengguang Chen, Jianbo Dai, Yuxuan Yao, Rongwu Xu, Zehan Qi, Wanru Zhao, Linling Shen, Jianqiao Lu, Haochen Tan, Yukang Chen, Hao Zhang, Zhan Shi, Bailin Wang, Zhijiang Guo, Jiaya Jia:
MR-BEN: A Comprehensive Meta-Reasoning Benchmark for Large Language Models. CoRR abs/2406.13975 (2024) - [i28]Rongwu Xu, Xuan Qi, Zehan Qi, Wei Xu, Zhijiang Guo:
DebateQA: Evaluating Question Answering on Debatable Knowledge. CoRR abs/2408.01419 (2024) - [i27]Yinhong Liu, Zhijiang Guo, Tianya Liang, Ehsan Shareghi, Ivan Vulic, Nigel Collier:
Aligning with Logic: Measuring, Evaluating and Improving Logical Consistency in Large Language Models. CoRR abs/2410.02205 (2024) - [i26]Jing Xiong, Jianghan Shen, Fanghua Ye, Chaofan Tao, Zhongwei Wan, Jianqiao Lu, Xun Wu, Chuanyang Zheng, Zhijiang Guo, Lingpeng Kong, Ngai Wong:
UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference. CoRR abs/2410.03090 (2024) - [i25]Yuxuan Yao, Han Wu, Mingyang Liu, Sichun Luo, Xiongwei Han, Jie Liu, Zhijiang Guo, Linqi Song:
Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling. CoRR abs/2410.03777 (2024) - [i24]Jianqiao Lu, Yingjia Wan, Yinya Huang, Jing Xiong, Zhengying Liu, Zhijiang Guo:
FormalAlign: Automated Alignment Evaluation for Autoformalization. CoRR abs/2410.10135 (2024) - [i23]Dong Huang, Guangtao Zeng, Jianbo Dai, Meng Luo, Han Weng, Yuhao Qing, Heming Cui, Zhijiang Guo, Jie M. Zhang:
Effi-Code: Unleashing Code Efficiency in Language Models. CoRR abs/2410.10209 (2024) - [i22]Zehan Qi, Rongwu Xu, Zhijiang Guo, Cunxiang Wang, Hao Zhang, Wei Xu:
Long2RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall. CoRR abs/2410.23000 (2024) - [i21]Michael Schlichtkrull, Yulong Chen, Chenxi Whitehouse, Zhenyun Deng, Mubashara Akhtar, Rami Aly, Zhijiang Guo, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal, James Thorne, Andreas Vlachos:
The Automated Verification of Textual Claims (AVeriTeC) Shared Task. CoRR abs/2410.23850 (2024) - 2023
- [c18]Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu:
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. ACL (2) 2023: 303-311 - [c17]Mubashara Akhtar, Michael Schlichtkrull, Zhijiang Guo, Oana Cocarascu, Elena Simperl, Andreas Vlachos:
Multimodal Automated Fact-Checking: A Survey. EMNLP (Findings) 2023: 5430-5448 - [c16]Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu:
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models. EMNLP 2023: 11594-11632 - [c15]Michael Schlichtkrull, Zhijiang Guo, Andreas Vlachos:
AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web. NeurIPS 2023 - [c14]Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu:
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. SIGIR 2023: 2319-2323 - [c13]Xuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, Philip S. Yu:
MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media. SIGIR 2023: 2901-2912 - [i20]Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu:
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. CoRR abs/2305.03507 (2023) - [i19]Michael Sejr Schlichtkrull, Zhijiang Guo, Andreas Vlachos:
AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web. CoRR abs/2305.13117 (2023) - [i18]Mubashara Akhtar, Michael Schlichtkrull, Zhijiang Guo, Oana Cocarascu, Elena Simperl, Andreas Vlachos:
Multimodal Automated Fact-Checking: A Survey. CoRR abs/2305.13507 (2023) - [i17]Xuming Hu, Zhijiang Guo, Guanyu Wu, Lijie Wen, Philip S. Yu:
Give Me More Details: Improving Fact-Checking with Latent Retrieval. CoRR abs/2305.16128 (2023) - [i16]Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu:
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. CoRR abs/2305.16166 (2023) - [i15]Jing Xiong, Zixuan Li, Chuanyang Zheng, Zhijiang Guo, Yichun Yin, Enze Xie, Zhicheng Yang, Qingxing Cao, Haiming Wang, Xiongwei Han, Jing Tang, Chengming Li, Xiaodan Liang:
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning. CoRR abs/2310.02954 (2023) - [i14]Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo:
Do Large Language Models Know about Facts? CoRR abs/2310.05177 (2023) - [i13]Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu:
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models. CoRR abs/2310.10180 (2023) - [i12]Ying Su, Xiaojin Fu, Mingwen Liu, Zhijiang Guo:
Are LLMs Rigorous Logical Reasoner? Empowering Natural Language Proof Generation with Contrastive Stepwise Decoding. CoRR abs/2311.06736 (2023) - 2022
- [j2]Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos:
A Survey on Automated Fact-Checking. Trans. Assoc. Comput. Linguistics 10: 178-206 (2022) - [c12]Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen, Philip S. Yu:
Scene Graph Modification as Incremental Structure Expanding. COLING 2022: 5707-5720 - [c11]Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu:
CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking. NAACL-HLT 2022: 3362-3376 - [c10]Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang:
METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets. NeurIPS 2022 - [i11]Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu:
CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking. CoRR abs/2206.11863 (2022) - [i10]Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen, Philip S. Yu:
Scene Graph Modification as Incremental Structure Expanding. CoRR abs/2209.09093 (2022) - [i9]Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang:
METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets. CoRR abs/2209.13773 (2022) - [i8]Siyang Song, Yuxin Song, Cheng Luo, Zhiyuan Song, Selim Kuzucu, Xi Jia, Zhijiang Guo, Weicheng Xie, Linlin Shen, Hatice Gunes:
GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features. CoRR abs/2211.12482 (2022) - 2021
- [c9]Guoshun Nan, Jiaqi Zeng, Rui Qiao, Zhijiang Guo, Wei Lu:
Uncovering Main Causalities for Long-tailed Information Extraction. EMNLP (1) 2021: 9683-9695 - [c8]Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal:
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information. NeurIPS Datasets and Benchmarks 2021 - [i7]Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal:
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information. CoRR abs/2106.05707 (2021) - [i6]Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos:
A Survey on Automated Fact-Checking. CoRR abs/2108.11896 (2021) - [i5]Guoshun Nan, Jiaqi Zeng, Rui Qiao, Zhijiang Guo, Wei Lu:
Uncovering Main Causalities for Long-tailed Information Extraction. CoRR abs/2109.05213 (2021) - 2020
- [c7]Guoshun Nan, Zhijiang Guo, Ivan Sekulic, Wei Lu:
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction. ACL 2020: 1546-1557 - [c6]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 - [c5]Zhijiang Guo, Guoshun Nan, Wei Lu, Shay B. Cohen:
Learning Latent Forests for Medical Relation Extraction. IJCAI 2020: 3651-3657 - [i4]Guoshun Nan, Zhijiang Guo, Ivan Sekulic, Wei Lu:
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction. CoRR abs/2005.06312 (2020) - [i3]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)
2010 – 2019
- 2019
- [j1]Zhijiang Guo, Yan Zhang, Zhiyang Teng, Wei Lu:
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning. Trans. Assoc. Comput. Linguistics 7: 297-312 (2019) - [c4]Zhijiang Guo, Yan Zhang, Wei Lu:
Attention Guided Graph Convolutional Networks for Relation Extraction. ACL (1) 2019: 241-251 - [i2]Zhijiang Guo, Yan Zhang, Wei Lu:
Attention Guided Graph Convolutional Networks for Relation Extraction. CoRR abs/1906.07510 (2019) - [i1]Zhijiang Guo, Yan Zhang, Zhiyang Teng, Wei Lu:
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning. CoRR abs/1908.05957 (2019) - 2018
- [c3]Zhijiang Guo, Wei Lu:
Better Transition-Based AMR Parsing with Refined Search Space. EMNLP 2018: 1712-1722
2000 – 2009
- 2006
- [c2]Zhijiang Guo, John E. McInroy, Farhad Jafari:
Realization of Micromanipulating Gough-Stewart Platforms with Desired Dynamics. ICRA 2006: 655-660 - 2002
- [c1]Zhijiang Guo, Hongtao Zheng, Jinping Jiang:
A powerful modified genetic algorithm for multimodal function optimization. ACC 2002: 3168-3173
Coauthor Index
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