Modeling Topic-Level Academic Influence in Scientific Literatures. - Jiaming Shen; Zhenyu Song; Shitao Li; Zhaowei Tan; Yuning Mao; Luoyi Fu; Li Song 001; Xinbing Wang (AAAI Workshop: Scholarly Big Data, 2016)

AceMap: A Novel Approach towards Displaying Relationship among Academic Literatures. - Zhaowei Tan; Changfeng Liu; Yuning Mao; Yunqi Guo; Jiaming Shen; Xinbing Wang (WWW (Companion Volume), 2016)

End-to-End Reinforcement Learning for Automatic Taxonomy Induction. - Yuning Mao; Xiang Ren 001; Jiaming Shen; Xiaotao Gu; Jiawei Han 001 (ACL (1), 2018)

Hierarchical Text Classification with Reinforced Label Assignment. - Yuning Mao; Jingjing Tian; Jiawei Han 001; Xiang Ren 001 (EMNLP/IJCNLP (1), 2019)

Facet-Aware Evaluation for Extractive Text Summarization. - Yuning Mao; Liyuan Liu; Qi Zhu 008; Xiang Ren 001; Jiawei Han 001 (CoRR, 2019)

Facet-Aware Evaluation for Extractive Summarization. - Yuning Mao; Liyuan Liu; Qi Zhu 008; Xiang Ren 001; Jiawei Han 001 (ACL, 2020)

Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning. - Deren Lei; Gangrong Jiang; Xiaotao Gu; Kexuan Sun 002; Yuning Mao; Xiang Ren 001 (EMNLP (1), 2020)

Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning. - Yuning Mao; Yanru Qu; Yiqing Xie; Xiang Ren 001; Jiawei Han 001 (EMNLP (1), 2020)

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. - Xin Luna Dong; Xiang He 007; Andrey Kan; Xian Li; Yan Liang 004; Jun Ma 029; Yifan Ethan Xu; Chenwei Zhang; Tong Zhao 002; Gabriel Blanco Saldana; Saurabh Deshpande; Alexandre Michetti Manduca; et al. (KDD, 2020)

Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. - Yuning Mao; Tong Zhao 002; Andrey Kan; Chenwei Zhang; Xin Luna Dong; Christos Faloutsos; Jiawei Han 001 (KDD, 2020)

Generating Representative Headlines for News Stories. - Xiaotao Gu; Yuning Mao; Jiawei Han 001; Jialu Liu; You Wu 001; Cong Yu 001; Daniel Finnie; Hongkun Yu 001; Jiaqi Zhai; Nicholas Zukoski (WWW, 2020)

Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation. - Yuning Mao; Xiang Ren 001; Heng Ji 001; Jiawei Han 001 (CoRR, 2020)

Taxonomy Completion via Triplet Matching Network. - Jieyu Zhang 001; Xiangchen Song; Ying Zeng; Jiaze Chen; Jiaming Shen; Yuning Mao; Lei Li 005 (AAAI, 2021)

Generation-Augmented Retrieval for Open-Domain Question Answering. - Yuning Mao; Pengcheng He; Xiaodong Liu 003; Yelong Shen; Jianfeng Gao 001; Jiawei Han 001; Weizhu Chen (ACL/IJCNLP (1), 2021)

Reader-Guided Passage Reranking for Open-Domain Question Answering. - Yuning Mao; Pengcheng He; Xiaodong Liu 003; Yelong Shen; Jianfeng Gao 001; Jiawei Han 001; Weizhu Chen (ACL/IJCNLP (Findings), 2021)

Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation. - Yuning Mao; Wenchang Ma; Deren Lei; Jiawei Han 001; Xiang Ren 001 (EMNLP (1), 2021)

SUMDocS: Surrounding-aware Unsupervised Multi-Document Summarization. - Qi Zhu 008; Fang Guo; Jingjing Tian; Yuning Mao; Jiawei Han 001 (SDM, 2021)

Simulating Online Social Response: A Stimulus/Response Perspective. - Huajie Shao; Tarek F. Abdelzaher; Jiawei Han 001; Minhao Jiang; Yuning Mao; Yu Meng 001; Wenda Qiu; Dachun Sun; Ruijie Wang 004; Chaoqi Yang; Zhenzhou Yang; Xinyang Zhang 002; et al. (WSC, 2021)

Extract, Denoise, and Enforce: Evaluating and Predicting Lexical Constraints for Conditional Text Generation. - Yuning Mao; Wenchang Ma; Deren Lei; Xiang Ren 001 (CoRR, 2021)

Eider: Evidence-enhanced Document-level Relation Extraction. - Yiqing Xie; Jiaming Shen; Sha Li; Yuning Mao; Jiawei Han 001 (CoRR, 2021)

UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. - Yuning Mao; Lambert Mathias; Rui Hou; Amjad Almahairi; Hao Ma 001; Jiawei Han 001; Scott Yih; Madian Khabsa (ACL (1), 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 001 (ACL (Findings), 2022)

CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision. - Yuning Mao; Ming Zhong 005; Jiawei Han 001 (EMNLP, 2022)

Towards a Unified Multi-Dimensional Evaluator for Text Generation. - Ming Zhong 005; Yang Liu 005; Da Yin; Yuning Mao; Yizhu Jiao; Pengfei Liu 003; Chenguang Zhu 001; Heng Ji 001; Jiawei Han 001 (EMNLP, 2022)

Unsupervised Multi-Granularity Summarization. - Ming Zhong 005; Yang Liu 124; Suyu Ge; Yuning Mao; Yizhu Jiao; Xingxing Zhang; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001; Jiawei Han 001 (EMNLP (Findings), 2022)

SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. - Yuxin Xiao; Zecheng Zhang; Yuning Mao; Carl Yang 001; Jiawei Han 001 (NAACL-HLT, 2022)

Unsupervised Summarization with Customized Granularities. - Ming Zhong 005; Yang Liu 124; Suyu Ge; Yuning Mao; Yizhu Jiao; Xingxing Zhang; Yichong Xu; Chenguang Zhu 001; Michael Zeng 001; Jiawei Han 001 (CoRR, 2022)

CiteSum: Citation Text-guided Scientific Extreme Summarization and Low-resource Domain Adaptation. - Yuning Mao; Ming Zhong 005; Jiawei Han 001 (CoRR, 2022)

Towards a Unified Multi-Dimensional Evaluator for Text Generation. - Ming Zhong 005; Yang Liu 124; Da Yin; Yuning Mao; Yizhu Jiao; Pengfei Liu 003; Chenguang Zhu 001; Heng Ji 001; Jiawei Han 001 (CoRR, 2022)

Residual Prompt Tuning: improving prompt tuning with residual reparameterization. - Anastasia Razdaibiedina; Yuning Mao; Madian Khabsa; Mike Lewis; Rui Hou; Jimmy Ba; Amjad Almahairi (ACL (Findings), 2023)

Generating Hashtags for Short-form Videos with Guided Signals. - Tiezheng Yu; Hanchao Yu; Davis Liang; Yuning Mao; Shaoliang Nie; Po-Yao Huang 001; Madian Khabsa; Pascale Fung; Yi-Chia Wang (ACL (1), 2023)

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. - Jaehyung Kim 001; Yuning Mao; Rui Hou; Hanchao Yu; Davis Liang; Pascale Fung; Qifan Wang 001; Fuli Feng; Lifu Huang; Madian Khabsa (EMNLP (Findings), 2023)

XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. - Davis Liang; Hila Gonen; Yuning Mao; Rui Hou; Naman Goyal 001; Marjan Ghazvininejad; Luke Zettlemoyer; Madian Khabsa (EMNLP, 2023)

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. - Qifan Wang 001; Yuning Mao; Jingang Wang; Hanchao Yu; Shaoliang Nie; Sinong Wang; Fuli Feng; Lifu Huang; Xiaojun Quan; Zenglin Xu; Dongfang Liu (EMNLP, 2023)

Progressive Prompts: Continual Learning for Language Models. - Anastasia Razdaibiedina; Yuning Mao; Rui Hou; Madian Khabsa; Mike Lewis; Amjad Almahairi (ICLR, 2023)

LIMA: Less Is More for Alignment. - Chunting Zhou; Pengfei Liu; Puxin Xu; Srinivasan Iyer 001; Jiao Sun; Yuning Mao; Xuezhe Ma; Avia Efrat; Ping Yu; Lili Yu; Susan Zhang; Gargi Ghosh; et al. (NeurIPS, 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; et al. (CoRR, 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)

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. - Taowen Wang; Yiyang Liu 003; James Liang; Junhan Zhao; Yiming Cui 002; Yuning Mao; Shaoliang Nie; Jiahao Liu; Fuli Feng; Zenglin Xu; Cheng Han 001; Lifu Huang; et al. (EMNLP, 2024)

Representation Deficiency in Masked Language Modeling. - Yu Meng 001; Jitin Krishnan; Sinong Wang; Qifan Wang 001; Yuning Mao; Han Fang; Marjan Ghazvininejad; Jiawei Han 001; Luke Zettlemoyer (ICLR, 2024)

MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. - Suyu Ge; Chunting Zhou; Rui Hou; Madian Khabsa; Yi-Chia Wang; Qifan Wang 001; Jiawei Han 001; Yuning Mao (NAACL-HLT, 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 (NeurIPS, 2024)

M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. - Taowen Wang; Yiyang Liu 003; James Chenhao Liang; Junhan Zhao; Yiming Cui 002; Yuning Mao; Shaoliang Nie; Jiahao Liu; Fuli Feng; Zenglin Xu; Cheng Han 001; Lifu Huang; et al. (CoRR, 2024)

Improving Model Factuality with Fine-grained Critique-based Evaluator. - 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 (ACL (1), 2025)

Extrapolating to Unknown Opinions Using LLMs. - Kexun Zhang; Jane Dwivedi-Yu; Zhaojiang Lin; Yuning Mao; William Yang Wang; Lei Li 005; Yi-Chia Wang (COLING, 2025)

Diversity-driven Data Selection for Language Model Tuning through Sparse Autoencoder. - Xianjun Yang; Shaoliang Nie; Lijuan Liu; Suchin Gururangan; Ujjwal Karn; Rui Hou; Madian Khabsa; Yuning Mao (CoRR, 2025)

High Accuracy, Less Talk (HALT): Reliable LLMs through Capability-Aligned Finetuning. - Tim Franzmeyer; Archie Sravankumar; Lijuan Liu; Yuning Mao; Rui Hou; Sinong Wang; Jakob N. Foerster; Luke Zettlemoyer; Madian Khabsa (CoRR, 2025)