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2020 – today
- 2024
[c31]Yu Meng
, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer:
Representation Deficiency in Masked Language Modeling. ICLR 2024- [c30]Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao:
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. NAACL-HLT 2024: 1927-1937 - [i30]Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Tim Rocktäschel, Roberta Raileanu:
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts. CoRR abs/2402.16822 (2024) - [i29]Taowen Wang, Yiyang Liu, James Chenhao Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu:
M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. CoRR abs/2409.15657 (2024) - 2023
- [c29]Anastasia Razdaibiedina, Yuning Mao, Madian Khabsa, Mike Lewis, Rui Hou, Jimmy Ba, Amjad Almahairi:
Residual Prompt Tuning: improving prompt tuning with residual reparameterization. ACL (Findings) 2023: 6740-6757 - [c28]Tiezheng Yu, Hanchao Yu, Davis Liang, Yuning Mao, Shaoliang Nie, Po-Yao Huang, Madian Khabsa, Pascale Fung, Yi-Chia Wang:
Generating Hashtags for Short-form Videos with Guided Signals. ACL (1) 2023: 9482-9495 - [c27]Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa:
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. EMNLP (Findings) 2023: 3412-3444 - [c26]Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu:
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. EMNLP 2023: 9147-9160 - [c25]Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa:
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. EMNLP 2023: 13142-13152 - [c24]Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Amjad Almahairi:
Progressive Prompts: Continual Learning for Language Models. ICLR 2023 - [c23]Chunting Zhou, Pengfei Liu, Puxin Xu, Srinivasan Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy:
LIMA: Less Is More for Alignment. NeurIPS 2023 - [i28]Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa:
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. CoRR abs/2301.10472 (2023) - [i27]Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Amjad Almahairi:
Progressive Prompts: Continual Learning for Language Models. CoRR abs/2301.12314 (2023) - [i26]Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer:
Representation Deficiency in Masked Language Modeling. CoRR abs/2302.02060 (2023) - [i25]Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Jimmy Ba, Amjad Almahairi:
Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization. CoRR abs/2305.03937 (2023) - [i24]Chunting Zhou, Pengfei Liu, Puxin Xu, Srini Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy:
LIMA: Less Is More for Alignment. CoRR abs/2305.11206 (2023) - [i23]Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom:
Llama 2: Open Foundation and Fine-Tuned Chat Models. CoRR abs/2307.09288 (2023) - [i22]Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao:
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. CoRR abs/2311.07689 (2023) - [i21]Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa:
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. CoRR abs/2312.04032 (2023) - [i20]Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Michael Tontchev, Qing Hu, Brian Fuller, Davide Testuggine, Madian Khabsa:
Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations. CoRR abs/2312.06674 (2023) - 2022
- [c22]Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han:
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion. ACL (Findings) 2022: 257-268 - [c21]Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Scott Yih, Madian Khabsa:
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. ACL (1) 2022: 6253-6264 - [c20]Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han:
Towards a Unified Multi-Dimensional Evaluator for Text Generation. EMNLP 2022: 2023-2038 - [c19]Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han:
Unsupervised Multi-Granularity Summarization. EMNLP (Findings) 2022: 4980-4995 - [c18]Yuning Mao, Ming Zhong, Jiawei Han:
CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision. EMNLP 2022: 10922-10935 - [c17]Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han:
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. NAACL-HLT 2022: 2395-2409 - [i19]Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han:
Unsupervised Summarization with Customized Granularities. CoRR abs/2201.12502 (2022) - [i18]Yuning Mao, Ming Zhong, Jiawei Han:
CiteSum: Citation Text-guided Scientific Extreme Summarization and Low-resource Domain Adaptation. CoRR abs/2205.06207 (2022) - [i17]Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han:
Towards a Unified Multi-Dimensional Evaluator for Text Generation. CoRR abs/2210.07197 (2022) - 2021
- [c16]Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li:
Taxonomy Completion via Triplet Matching Network. AAAI 2021: 4662-4670 - [c15]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Reader-Guided Passage Reranking for Open-Domain Question Answering. ACL/IJCNLP (Findings) 2021: 344-350 - [c14]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Generation-Augmented Retrieval for Open-Domain Question Answering. ACL/IJCNLP (1) 2021: 4089-4100 - [c13]Yuning Mao, Wenchang Ma, Deren Lei, Jiawei Han, Xiang Ren:
Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation. EMNLP (1) 2021: 5063-5074 - [c12]Qi Zhu, Fang Guo, Jingjing Tian, Yuning Mao, Jiawei Han:
SUMDocS: Surrounding-aware Unsupervised Multi-Document Summarization. SDM 2021: 477-485 - [c11]Huajie Shao, Tarek F. Abdelzaher, Jiawei Han, Minhao Jiang, Yuning Mao, Yu Meng, Wenda Qiu, Dachun Sun, Ruijie Wang, Chaoqi Yang, Zhenzhou Yang, Xinyang Zhang, Yu Zhang, Sam Cohen, James Flamino, György Korniss, Omar Malik, Aamir Mandviwalla, Boleslaw K. Szymanski, Lake Yin:
Simulating Online Social Response: A Stimulus/Response Perspective. WSC 2021: 1-12 - [i16]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Reader-Guided Passage Reranking for Open-Domain Question Answering. CoRR abs/2101.00294 (2021) - [i15]Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li:
Taxonomy Completion via Triplet Matching Network. CoRR abs/2101.01896 (2021) - [i14]Yuning Mao, Wenchang Ma, Deren Lei, Xiang Ren:
Extract, Denoise, and Enforce: Evaluating and Predicting Lexical Constraints for Conditional Text Generation. CoRR abs/2104.08724 (2021) - [i13]Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han:
Eider: Evidence-enhanced Document-level Relation Extraction. CoRR abs/2106.08657 (2021) - [i12]Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han:
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. CoRR abs/2109.12093 (2021) - [i11]Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Wen-tau Yih, Madian Khabsa:
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. CoRR abs/2110.07577 (2021) - 2020
- [c10]Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han:
Facet-Aware Evaluation for Extractive Summarization. ACL 2020: 4941-4957 - [c9]Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han:
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning. EMNLP (1) 2020: 1737-1751 - [c8]Deren Lei, Gangrong Jiang, Xiaotao Gu, Kexuan Sun, Yuning Mao, Xiang Ren:
Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning. EMNLP (1) 2020: 8541-8547 - [c7]Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han:
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. KDD 2020: 2247-2257 - [c6]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. KDD 2020: 2724-2734 - [c5]Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, You Wu, Cong Yu, Daniel Finnie, Hongkun Yu, Jiaqi Zhai, Nicholas Zukoski:
Generating Representative Headlines for News Stories. WWW 2020: 1773-1784 - [i10]Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, Hongkun Yu, You Wu, Cong Yu, Daniel Finnie, Jiaqi Zhai, Nicholas Zukoski:
Generating Representative Headlines for News Stories. CoRR abs/2001.09386 (2020) - [i9]Deren Lei, Gangrong Jiang, Xiaotao Gu, Kexuan Sun, Yuning Mao, Xiang Ren:
Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning. CoRR abs/2005.00571 (2020) - [i8]Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han:
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. CoRR abs/2006.10276 (2020) - [i7]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. CoRR abs/2006.13473 (2020) - [i6]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Generation-Augmented Retrieval for Open-domain Question Answering. CoRR abs/2009.08553 (2020) - [i5]Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han:
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning. CoRR abs/2010.00117 (2020) - [i4]Yuning Mao, Xiang Ren, Heng Ji, Jiawei Han:
Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation. CoRR abs/2010.12723 (2020)
2010 – 2019
- 2019
- [c4]Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren:
Hierarchical Text Classification with Reinforced Label Assignment. EMNLP/IJCNLP (1) 2019: 445-455 - [i3]Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han:
Facet-Aware Evaluation for Extractive Text Summarization. CoRR abs/1908.10383 (2019) - [i2]Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren:
Hierarchical Text Classification with Reinforced Label Assignment. CoRR abs/1908.10419 (2019) - 2018
- [c3]Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han:
End-to-End Reinforcement Learning for Automatic Taxonomy Induction. ACL (1) 2018: 2462-2472 - [i1]Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han:
End-to-End Reinforcement Learning for Automatic Taxonomy Induction. CoRR abs/1805.04044 (2018) - 2016
- [c2]Jiaming Shen, Zhenyu Song, Shitao Li, Zhaowei Tan, Yuning Mao, Luoyi Fu, Li Song, Xinbing Wang:
Modeling Topic-Level Academic Influence in Scientific Literatures. AAAI Workshop: Scholarly Big Data 2016 - [c1]Zhaowei Tan, Changfeng Liu, Yuning Mao, Yunqi Guo, Jiaming Shen, Xinbing Wang:
AceMap: A Novel Approach towards Displaying Relationship among Academic Literatures. WWW (Companion Volume) 2016: 437-442
Coauthor Index
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