Yuning Mao

70 papers A* 14A 1B 1Misc 1Journal 35Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dr. Zero: Self-Evolving Search Agents without Training Data.
CoRR
Zhenrui Yue, Kartikeya Upasani, Xianjun Yang, Suyu Ge, Shaoliang Nie, Yuning Mao, Zhe Liu, Dong Wang
2025 J jnl
Diversity-driven Data Selection for Language Model Tuning through Sparse Autoencoder.
CoRR
Xianjun Yang, Shaoliang Nie, Lijuan Liu, Suchin Gururangan, Ujjwal Karn, Rui Hou, Madian Khabsa, Yuning Mao
2025 B conf
Extrapolating to Unknown Opinions Using LLMs.
COLING
Kexun Zhang, Jane Dwivedi-Yu, Zhaojiang Lin, Yuning Mao, William Yang Wang, Lei Li, Yi-Chia Wang
2025 J jnl
High Accuracy, Less Talk (HALT): Reliable LLMs through Capability-Aligned Finetuning.
CoRR
Tim Franzmeyer, Archie Sravankumar, Lijuan Liu, Yuning Mao, Rui Hou, Sinong Wang, Jakob N. Foerster, Luke Zettlemoyer, Madian Khabsa
2025 — conf
Improving Model Factuality with Fine-grained Critique-based Evaluator.
ACL (1)
Yiqing Xie, Wenxuan Zhou, Pradyot Prakash, Di Jin, Yuning Mao, Quintin Fettes, Arya Talebzadeh, Sinong Wang, Han Fang, Carolyn P. Rosé, Daniel Fried, Hejia Zhang
2025 J jnl
Your thoughts tell who you are: Characterize the reasoning patterns of LRMs.
CoRR
Yida Chen, Yuning Mao, Xianjun Yang, Suyu Ge, Shengjie Bi, Lijuan Liu, Saghar Hosseini, Liang Tan, Yixin Nie, Shaoliang Nie
2024 J jnl
Improving Model Factuality with Fine-grained Critique-based Evaluator.
CoRR
Yiqing Xie, Wenxuan Zhou, Pradyot Prakash, Di Jin, Yuning Mao, Quintin Fettes, Arya Talebzadeh, Sinong Wang, Han Fang, Carolyn P. Rosé, Daniel Fried, Hejia Zhang
2024 J jnl
M
CoRR
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
2024 — conf
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming.
NAACL-HLT
Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao
2024 A* conf
M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.
EMNLP
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
2024 A* conf
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.
NeurIPS
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
2024 J jnl
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.
CoRR
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
2024 A* conf
Representation Deficiency in Masked Language Modeling.
ICLR
Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer
2023 A* conf
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models.
EMNLP
Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu
2023 — conf
Generating Hashtags for Short-form Videos with Guided Signals.
ACL (1)
Tiezheng Yu, Hanchao Yu, Davis Liang, Yuning Mao, Shaoliang Nie, Po-Yao Huang, Madian Khabsa, Pascale Fung, Yi-Chia Wang
2023 A* conf
LIMA: Less Is More for Alignment.
NeurIPS
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
2023 J jnl
LIMA: Less Is More for Alignment.
CoRR
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
2023 J jnl
Llama 2: Open Foundation and Fine-Tuned Chat Models.
CoRR
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
2023 J jnl
Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.
CoRR
Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Michael Tontchev, Qing Hu, Brian Fuller, Davide Testuggine, Madian Khabsa
2023 J jnl
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming.
CoRR
Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao
2023 A* conf
Progressive Prompts: Continual Learning for Language Models.
ICLR
Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Amjad Almahairi
2023 J jnl
Progressive Prompts: Continual Learning for Language Models.
CoRR
Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Amjad Almahairi
2023 J jnl
Representation Deficiency in Masked Language Modeling.
CoRR
Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer
2023 J jnl
Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization.
CoRR
Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Jimmy Ba, Amjad Almahairi
2023 — conf
Residual Prompt Tuning: improving prompt tuning with residual reparameterization.
ACL (Findings)
Anastasia Razdaibiedina, Yuning Mao, Madian Khabsa, Mike Lewis, Rui Hou, Jimmy Ba, Amjad Almahairi
2023 — conf
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training.
EMNLP (Findings)
Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa
2023 J jnl
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training.
CoRR
Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa
2023 A* conf
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models.
EMNLP
Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa
2023 J jnl
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models.
CoRR
Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa
2022 A* conf
CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision.
EMNLP
Yuning Mao, Ming Zhong, Jiawei Han
2022 J jnl
CiteSum: Citation Text-guided Scientific Extreme Summarization and Low-resource Domain Adaptation.
CoRR
Yuning Mao, Ming Zhong, Jiawei Han
2022 — conf
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion.
ACL (Findings)
Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han
2022 — conf
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction.
NAACL-HLT
Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han
2022 A* conf
Towards a Unified Multi-Dimensional Evaluator for Text Generation.
EMNLP
Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han
2022 J jnl
Towards a Unified Multi-Dimensional Evaluator for Text Generation.
CoRR
Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han
2022 — conf
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning.
ACL (1)
Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Scott Yih, Madian Khabsa
2022 — conf
Unsupervised Multi-Granularity Summarization.
EMNLP (Findings)
Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han
2022 J jnl
Unsupervised Summarization with Customized Granularities.
CoRR
Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han
2021 J jnl
Eider: Evidence-enhanced Document-level Relation Extraction.
CoRR
Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han
2021 — conf
Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation.
EMNLP (1)
Yuning Mao, Wenchang Ma, Deren Lei, Jiawei Han, Xiang Ren
2021 J jnl
Extract, Denoise, and Enforce: Evaluating and Predicting Lexical Constraints for Conditional Text Generation.
CoRR
Yuning Mao, Wenchang Ma, Deren Lei, Xiang Ren
2021 — conf
Generation-Augmented Retrieval for Open-Domain Question Answering.
ACL/IJCNLP (1)
Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen
2021 — conf
Reader-Guided Passage Reranking for Open-Domain Question Answering.
ACL/IJCNLP (Findings)
Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen
2021 J jnl
Reader-Guided Passage Reranking for Open-Domain Question Answering.
CoRR
Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen
2021 J jnl
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction.
CoRR
Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han
2021 A conf
SUMDocS: Surrounding-aware Unsupervised Multi-Document Summarization.
SDM
Qi Zhu, Fang Guo, Jingjing Tian, Yuning Mao, Jiawei Han
2021 Misc conf
Simulating Online Social Response: A Stimulus/Response Perspective.
WSC
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
2021 A* conf
Taxonomy Completion via Triplet Matching Network.
AAAI
Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li
2021 J jnl
Taxonomy Completion via Triplet Matching Network.
CoRR
Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li
2021 J jnl
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning.
CoRR
Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Wen-tau Yih, Madian Khabsa
2020 A* conf
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types.
KDD
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
2020 J jnl
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types.
CoRR
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
2020 J jnl
Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation.
CoRR
Yuning Mao, Xiang Ren, Heng Ji, Jiawei Han
2020 A* conf
Facet-Aware Evaluation for Extractive Summarization.
ACL
Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han
2020 A* conf
Generating Representative Headlines for News Stories.
WWW
Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, You Wu, Cong Yu, Daniel Finnie, Hongkun Yu, Jiaqi Zhai, Nicholas Zukoski
2020 J jnl
Generating Representative Headlines for News Stories.
CoRR
Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, Hongkun Yu, You Wu, Cong Yu, Daniel Finnie, Jiaqi Zhai, Nicholas Zukoski
2020 J jnl
Generation-Augmented Retrieval for Open-domain Question Answering.
CoRR
Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen
2020 — conf
Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning.
EMNLP (1)
Deren Lei, Gangrong Jiang, Xiaotao Gu, Kexuan Sun, Yuning Mao, Xiang Ren
2020 J jnl
Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning.
CoRR
Deren Lei, Gangrong Jiang, Xiaotao Gu, Kexuan Sun, Yuning Mao, Xiang Ren
2020 — conf
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning.
EMNLP (1)
Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han
2020 J jnl
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning.
CoRR
Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han
2020 A* conf
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision.
KDD
Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han
2020 J jnl
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision.
CoRR
Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han
2019 J jnl
Facet-Aware Evaluation for Extractive Text Summarization.
CoRR
Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han
2019 — conf
Hierarchical Text Classification with Reinforced Label Assignment.
EMNLP/IJCNLP (1)
Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren
2019 J jnl
Hierarchical Text Classification with Reinforced Label Assignment.
CoRR
Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren
2018 — conf
End-to-End Reinforcement Learning for Automatic Taxonomy Induction.
ACL (1)
Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han
2018 J jnl
End-to-End Reinforcement Learning for Automatic Taxonomy Induction.
CoRR
Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han
2016 — conf
AceMap: A Novel Approach towards Displaying Relationship among Academic Literatures.
WWW (Companion Volume)
Zhaowei Tan, Changfeng Liu, Yuning Mao, Yunqi Guo, Jiaming Shen, Xinbing Wang
2016 — conf
Modeling Topic-Level Academic Influence in Scientific Literatures.
AAAI Workshop: Scholarly Big Data
Jiaming Shen, Zhenyu Song, Shitao Li, Zhaowei Tan, Yuning Mao, Luoyi Fu, Li Song, Xinbing Wang