Yuning Mao

According to our database, Yuning Mao authored at least 43 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.

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

CoRR, 2024

Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.

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

CoRR, 2024

MART: Improving LLM Safety with Multi-round Automatic Red-Teaming.

Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Representation Deficiency in Masked Language Modeling.

Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.

Taowen Wang, Yiyang Liu, James Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Michael Tontchev, Qing Hu, Brian Fuller, Davide Testuggine, Madian Khabsa

CoRR, 2023

Llama 2: Open Foundation and Fine-Tuned Chat Models.

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

CoRR, 2023

LIMA: Less Is More for Alignment.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Progressive Prompts: Continual Learning for Language Models.

Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Amjad Almahairi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models.

Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models.

Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training.

Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Generating Hashtags for Short-form Videos with Guided Signals.

Tiezheng Yu, Hanchao Yu, Davis Liang, Yuning Mao, Shaoliang Nie, Po-Yao Huang, Madian Khabsa, Pascale Fung, Yi-Chia Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Residual Prompt Tuning: improving prompt tuning with residual reparameterization.

Anastasia Razdaibiedina, Yuning Mao, Madian Khabsa, Mike Lewis, Rui Hou, Jimmy Ba, Amjad Almahairi

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Towards a Unified Multi-Dimensional Evaluator for Text Generation.

Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han

CoRR, 2022

CiteSum: Citation Text-guided Scientific Extreme Summarization and Low-resource Domain Adaptation.

Yuning Mao, Ming Zhong, Jiawei Han

CoRR, 2022

Unsupervised Summarization with Customized Granularities.

Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han

CoRR, 2022

SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction.

Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Unsupervised Multi-Granularity Summarization.

Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Towards a Unified Multi-Dimensional Evaluator for Text Generation.

Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision.

Yuning Mao, Ming Zhong, Jiawei Han

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion.

Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning.

Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Scott Yih, Madian Khabsa

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Eider: Evidence-enhanced Document-level Relation Extraction.

Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han

CoRR, 2021

Extract, Denoise, and Enforce: Evaluating and Predicting Lexical Constraints for Conditional Text Generation.

Yuning Mao, Wenchang Ma, Deren Lei, Xiang Ren

CoRR, 2021

Simulating Online Social Response: A Stimulus/Response Perspective.

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

Proceedings of the Winter Simulation Conference, 2021

SUMDocS: Surrounding-aware Unsupervised Multi-Document Summarization.

Qi Zhu, Fang Guo, Jingjing Tian, Yuning Mao, Jiawei Han

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation.

Yuning Mao, Wenchang Ma, Deren Lei, Jiawei Han, Xiang Ren

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Reader-Guided Passage Reranking for Open-Domain Question Answering.

Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Generation-Augmented Retrieval for Open-Domain Question Answering.

Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Taxonomy Completion via Triplet Matching Network.

Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation.

Yuning Mao, Xiang Ren, Heng Ji, Jiawei Han

CoRR, 2020

Generating Representative Headlines for News Stories.

Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, You Wu, Cong Yu, Daniel Finnie, Hongkun Yu, Jiaqi Zhai, Nicholas Zukoski

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Octet: Online Catalog Taxonomy Enrichment with Self-Supervision.

Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types.

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

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning.

Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning.

Deren Lei, Gangrong Jiang, Xiaotao Gu, Kexuan Sun, Yuning Mao, Xiang Ren

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Facet-Aware Evaluation for Extractive Summarization.

Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Facet-Aware Evaluation for Extractive Text Summarization.

Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han

CoRR, 2019

Hierarchical Text Classification with Reinforced Label Assignment.

Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

End-to-End Reinforcement Learning for Automatic Taxonomy Induction.

Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016

AceMap: A Novel Approach towards Displaying Relationship among Academic Literatures.

Zhaowei Tan, Changfeng Liu, Yuning Mao, Yunqi Guo, Jiaming Shen, Xinbing Wang

Proceedings of the 25th International Conference on World Wide Web, 2016

Modeling Topic-Level Academic Influence in Scientific Literatures.

Jiaming Shen, Zhenyu Song, Shitao Li, Zhaowei Tan, Yuning Mao, Luoyi Fu, Li Song, Xinbing Wang

Proceedings of the Scholarly Big Data: AI Perspectives, 2016