Graph-based Neural Multi-Document Summarization. - Michihiro Yasunaga; Rui Zhang 037; Kshitijh Meelu; Ayush Pareek; Krishnan Srinivasan; Dragomir R. Radev (CoNLL, 2017)

Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering. - Rui Zhang 037; Cícero Nogueira dos Santos; Michihiro Yasunaga; Bing Xiang; Dragomir R. Radev (ACL (2), 2018)

SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task. - Tao Yu 009; Michihiro Yasunaga; Kai Yang; Rui Zhang 037; Dongxu Wang; Zifan Li; Dragomir R. Radev (EMNLP, 2018)

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task. - Tao Yu 009; Rui Zhang 037; Kai Yang; Michihiro Yasunaga; Dongxu Wang; Zifan Li; James Ma; Irene Li; Qingning Yao; Shanelle Roman; Zilin Zhang; Dragomir R. Radev (EMNLP, 2018)

Robust Multilingual Part-of-Speech Tagging via Adversarial Training. - Michihiro Yasunaga; Jungo Kasai; Dragomir R. Radev (NAACL-HLT, 2018)

The CL-SciSumm Shared Task 2018: Results and Key Insights. - Kokil Jaidka; Michihiro Yasunaga; Muthu Kumar Chandrasekaran; Dragomir R. Radev; Min-Yen Kan (BIRNDL@SIGIR, 2018)

SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task. - Tao Yu 009; Michihiro Yasunaga; Kai Yang; Rui Zhang 037; Dongxu Wang; Zifan Li; Dragomir R. Radev (CoRR, 2018)

ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. - Michihiro Yasunaga; Jungo Kasai; Rui Zhang 037; Alexander R. Fabbri; Irene Li; Dan Friedman; Dragomir R. Radev (AAAI, 2019)

TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts. - Michihiro Yasunaga; John D. Lafferty (AAAI, 2019)

SParC: Cross-Domain Semantic Parsing in Context. - Tao Yu 009; Rui Zhang 037; Michihiro Yasunaga; Yi Chern Tan; Xi Victoria Lin; Suyi Li 002; Heyang Er; Irene Li; Bo Pang 004; Tao Chen; Emily Ji; Shreya Dixit; et al. (ACL (1), 2019)

CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. - Tao Yu 009; Rui Zhang 037; Heyang Er; Suyi Li 002; Eric Xue 001; Bo Pang 004; Xi Victoria Lin; Yi Chern Tan; Tianze Shi; Zihan Li; Youxuan Jiang; Michihiro Yasunaga; et al. (EMNLP/IJCNLP (1), 2019)

Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019). - Muthu Kumar Chandrasekaran; Philipp Mayr 001; Michihiro Yasunaga; Dayne Freitag; Dragomir R. Radev; Min-Yen Kan (SIGIR, 2019)

Overview and Results: CL-SciSumm Shared Task 2019. - Muthu Kumar Chandrasekaran; Michihiro Yasunaga; Dragomir R. Radev; Dayne Freitag; Min-Yen Kan (BIRNDL@SIGIR, 2019)

A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation. - Irene Li; Michihiro Yasunaga; Muhammed Yavuz Nuzumlali; Cesar Caraballo; Shiwani Mahajan; Harlan M. Krumholz; Dragomir R. Radev (CoRR, 2019)

Graph-based, Self-Supervised Program Repair from Diagnostic Feedback. - Michihiro Yasunaga; Percy Liang (ICML, 2020)

WILDS: A Benchmark of in-the-Wild Distribution Shifts. - Pang Wei Koh; Shiori Sagawa; Henrik Marklund; Sang Michael Xie; Marvin Zhang; Akshay Balsubramani; Weihua Hu; Michihiro Yasunaga; Richard Lanas Phillips; Sara Beery; Jure Leskovec; Anshul Kundaje; et al. (CoRR, 2020)

Automatic Medical Text Simplification: Challenges of Data Quality and Curation. - Chandrayee Basu; Rosni Vasu; Michihiro Yasunaga; Sohyeong Kim; Qian Yang (HUMAN@AAAI Fall Symposium, 2021)

LM-Critic: Language Models for Unsupervised Grammatical Error Correction. - Michihiro Yasunaga; Jure Leskovec; Percy Liang (EMNLP (1), 2021)

WILDS: A Benchmark of in-the-Wild Distribution Shifts. - Pang Wei Koh; Shiori Sagawa; Henrik Marklund; Sang Michael Xie; Marvin Zhang; Akshay Balsubramani; Weihua Hu; Michihiro Yasunaga; Richard Lanas Phillips; Irena Gao; Tony Lee; Etienne David; et al. (ICML, 2021)

LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs. - Hongyu Ren; Hanjun Dai; Bo Dai 001; Xinyun Chen; Michihiro Yasunaga; Haitian Sun; Dale Schuurmans; Jure Leskovec; Denny Zhou (ICML, 2021)

Break-It-Fix-It: Unsupervised Learning for Program Repair. - Michihiro Yasunaga; Percy Liang (ICML, 2021)

QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. - Michihiro Yasunaga; Hongyu Ren; Antoine Bosselut; Percy Liang; Jure Leskovec (NAACL-HLT, 2021)

LinkBERT: Pretraining Language Models with Document Links. - Michihiro Yasunaga; Jure Leskovec; Percy Liang (ACL (1), 2022)

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. - Tianbao Xie; Chen Henry Wu; Peng Shi 010; Ruiqi Zhong; Torsten Scholak; Michihiro Yasunaga; Chien-Sheng Wu; Ming Zhong 005; Pengcheng Yin; Sida I. Wang; Victor Zhong; Bailin Wang; et al. (EMNLP, 2022)

GreaseLM: Graph REASoning Enhanced Language Models. - Xikun Zhang 001; Antoine Bosselut; Michihiro Yasunaga; Hongyu Ren; Percy Liang; Christopher D. Manning; Jure Leskovec (ICLR, 2022)

Extending the WILDS Benchmark for Unsupervised Adaptation. - Shiori Sagawa; Pang Wei Koh; Tony Lee; Irena Gao; Sang Michael Xie; Kendrick Shen; Ananya Kumar; Weihua Hu; Michihiro Yasunaga; Henrik Marklund; Sara Beery; Etienne David; et al. (ICLR, 2022)

Deep Bidirectional Language-Knowledge Graph Pretraining. - Michihiro Yasunaga; Antoine Bosselut; Hongyu Ren; Xikun Zhang 001; Christopher D. Manning; Percy Liang; Jure Leskovec (NeurIPS, 2022)

GreaseLM: Graph REASoning Enhanced Language Models for Question Answering. - Xikun Zhang 001; Antoine Bosselut; Michihiro Yasunaga; Hongyu Ren; Percy Liang; Christopher D. Manning; Jure Leskovec (CoRR, 2022)

VQA-GNN: Reasoning with Multimodal Semantic Graph for Visual Question Answering. - Yanan Wang 002; Michihiro Yasunaga; Hongyu Ren; Shinya Wada; Jure Leskovec (CoRR, 2022)

Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts. - Chandrayee Basu; Rosni Vasu; Michihiro Yasunaga; Qian Yang (AAAI, 2023)

Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models. - Yuhui Zhang; Michihiro Yasunaga; Zhengping Zhou; Jeff Z. HaoChen; James Zou 001; Percy Liang; Serena Yeung (ACL (Findings), 2023)

Complex Reasoning in Natural Languag. - Wenting Zhao; Mor Geva; Bill Yuchen Lin; Michihiro Yasunaga; Aman Madaan; Tao Yu 009 (ACL (tutorial), 2023)

Is ChatGPT a General-Purpose Natural Language Processing Task Solver? - Chengwei Qin; Aston Zhang; Zhuosheng Zhang 001; Jiaao Chen; Michihiro Yasunaga; Diyi Yang (EMNLP, 2023)

VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering. - Yanan Wang 002; Michihiro Yasunaga; Hongyu Ren; Shinya Wada; Jure Leskovec (ICCV, 2023)

Retrieval-Augmented Multimodal Language Modeling. - Michihiro Yasunaga; Armen Aghajanyan; Weijia Shi; Richard James 001; Jure Leskovec; Percy Liang; Mike Lewis; Luke Zettlemoyer; Wen-Tau Yih (ICML, 2023)

Med-Flamingo: a Multimodal Medical Few-shot Learner. - Michael Moor; Qian Huang; Shirley Wu; Michihiro Yasunaga; Yash Dalmia; Jure Leskovec; Cyril Zakka; Eduardo Pontes Reis; Pranav Rajpurkar (ML4H@NeurIPS, 2023)

Holistic Evaluation of Text-to-Image Models. - Tony Lee; Michihiro Yasunaga; Chenlin Meng; Yifan Mai 001; Joon Sung Park; Agrim Gupta; Yunzhi Zhang; Deepak Narayanan; Hannah Teufel; Marco Bellagente; Minguk Kang; Taesung Park; et al. (NeurIPS, 2023)

Zero-shot causal learning. - Hamed Nilforoshan; Michael Moor; Yusuf H. Roohani; Yining Chen; Anja Surina; Michihiro Yasunaga; Sara Oblak; Jure Leskovec (NeurIPS, 2023)

Holistic Evaluation of Language Models. - Percy Liang; Rishi Bommasani; Tony Lee; Dimitris Tsipras; Dilara Soylu; Michihiro Yasunaga; Yian Zhang; Deepak Narayanan; Yuhuai Wu; Ananya Kumar; Benjamin Newman; Binhang Yuan; et al. (Trans. Mach. Learn. Res., 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Large Language Models as Analogical Reasoners. - Michihiro Yasunaga; Xinyun Chen; Yujia Li; Panupong Pasupat; Jure Leskovec; Percy Liang; Ed H. Chi; Denny Zhou (ICLR, 2024)

REPLUG: Retrieval-Augmented Black-Box Language Models. - Weijia Shi; Sewon Min; Michihiro Yasunaga; Minjoon Seo; Richard James 001; Mike Lewis; Luke Zettlemoyer; Wen-tau Yih (NAACL-HLT, 2024)

HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models. - Bernal Jimenez Gutierrez; Yiheng Shu; Yu Gu 016; Michihiro Yasunaga; Yu Su 001 (NeurIPS, 2024)

VHELM: A Holistic Evaluation of Vision Language Models. - Tony Lee; Haoqin Tu; Chi Heem Wong; Wenhao Zheng; Yiyang Zhou; Yifan Mai 001; Josselin Somerville Roberts; Michihiro Yasunaga; Huaxiu Yao; Cihang Xie; Percy Liang (NeurIPS, 2024)

Image2Struct: Benchmarking Structure Extraction for Vision-Language Models. - Josselin Somerville Roberts; Tony Lee; Chi Heem Wong; Michihiro Yasunaga; Yifan Mai 001; Percy Liang (NeurIPS, 2024)

AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning. - Shirley Wu; Shiyu Zhao; Qian Huang; Kexin Huang; Michihiro Yasunaga; Kaidi Cao; Vassilis N. Ioannidis; Karthik Subbian; Jure Leskovec; James Y. Zou (NeurIPS, 2024)

STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. - Shirley Wu; Shiyu Zhao; Michihiro Yasunaga; Kexin Huang; Kaidi Cao; Qian Huang; Vassilis N. Ioannidis; Karthik Subbian; James Y. Zou; Jure Leskovec (NeurIPS, 2024)

BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text. - Elliot Bolton; Abhinav Venigalla; Michihiro Yasunaga; David Hall 006; Betty Xiong; Tony Lee; Roxana Daneshjou; Jonathan Frankle; Percy Liang; Michael Carbin; Christopher D. Manning (CoRR, 2024)

AvaTaR: Optimizing LLM Agents for Tool-Assisted Knowledge Retrieval. - Shirley Wu; Shiyu Zhao; Qian Huang; Kexin Huang; Michihiro Yasunaga; Kaidi Cao; Vassilis N. Ioannidis; Karthik Subbian; Jure Leskovec; James Zou 001 (CoRR, 2024)

Language Models are Graph Learners. - Zhe Xu 007; Kaveh Hassani; Si Zhang; Hanqing Zeng; Michihiro Yasunaga; Limei Wang; Dongqi Fu; Ning Yao; Bo Long; Hanghang Tong (CoRR, 2024)

ALMA: Alignment with Minimal Annotation. - Michihiro Yasunaga; Leonid Shamis; Chunting Zhou; Andrew Cohen; Jason Weston; Luke Zettlemoyer; Marjan Ghazvininejad (CoRR, 2024)

Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model. - Chunting Zhou; Lili Yu; Arun Babu; Kushal Tirumala; Michihiro Yasunaga; Leonid Shamis; Jacob Kahn; Xuezhe Ma; Luke Zettlemoyer; Omer Levy (ICLR, 2025)

CAT: Content-Adaptive Image Tokenization. - Junhong Shen; Kushal Tirumala; Michihiro Yasunaga; Ishan Misra; Luke Zettlemoyer; Lili Yu; Chunting Zhou (CoRR, 2025)

Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models. - Michihiro Yasunaga; Luke Zettlemoyer; Marjan Ghazvininejad (CoRR, 2025)

reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs. - Zhaofeng Wu; Michihiro Yasunaga; Andrew Cohen; Yoon Kim; Asli Celikyilmaz; Marjan Ghazvininejad (CoRR, 2025)

Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation. - Zhiyang Xu; Jiuhai Chen; Zhaojiang Lin; Xichen Pan; Lifu Huang; Tianyi Zhou 001; Madian Khabsa; Qifan Wang 001; Di Jin; Michihiro Yasunaga; Lili Yu; Xi Victoria Lin; et al. (CoRR, 2025)