🧑‍🔬 Michihiro Yasunaga — all works

45 works · ← Michihiro Yasunaga

1. Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL TaskConference on Empirical Methods in Natural Language Processing (EMNLP)Tao Yu, Rui Zhang, Kai Yang, et al.2018 · 1,602 citations
2. Holistic Evaluation of Language Models ↗arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023 · no summary yetPercy Liang et al.2022 · 1,001 citations
3. Is ChatGPT a General-Purpose Natural Language Processing Task Solver?Conference on Empirical Methods in Natural Language Processing (EMNLP)Chengwei Qin, Aston Zhang, Zhuosheng Zhang, et al.2023 · 828 citations
4. QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetMichihiro Yasunaga et al.2021 · 742 citations
5. REPLUG: Retrieval-Augmented Black-Box Language ModelsarXiv:2301.12652Weijia Shi, Sewon Min, Michihiro Yasunaga, et al.2023 · 492 citations
6. LinkBERT: Pretraining Language Models with Document LinksAnnual Meeting of the Association for Computational Linguistics (ACL)Michihiro Yasunaga, Jure Leskovec, Percy Liang2022 · 458 citations
7. UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Tianbao Xie, Chen Henry Wu, Peng Shi, et al.2022 · 407 citations
8. WILDS: A Benchmark of in-the-Wild Distribution Shifts ↗CaltechAUTHORS (California Institute of Technology) · no summary yetPang Wei Koh et al.2020 · 405 citations
9. Graph-based Neural Multi-Document SummarizationConference on Computational Natural Language Learning (CoNLL)Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, et al.2017 · 351 citations
10. ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetMichihiro Yasunaga et al.2019 · 274 citations
11. HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Bernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, et al.2024 · 268 citations
12. CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to DatabasesConference on Empirical Methods in Natural Language Processing (EMNLP)Tao Yu, Rui Zhang, Heyang Er, et al.2019 · 262 citations
13. SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetTao Yu et al.2018 · 255 citations
14. SParC: Cross-Domain Semantic Parsing in ContextAnnual Meeting of the Association for Computational Linguistics (ACL)Tao Yu, Rui Zhang, Michihiro Yasunaga, et al.2019 · 228 citations
15. Robust Multilingual Part-of-Speech Tagging via Adversarial Training ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yetMichihiro Yasunaga, Jungo Kasai, Dragomir Radev2018 · 187 citations
16. Deep Bidirectional Language-Knowledge Graph Pretraining ↗neural information processing systems · no summary yetMichihiro Yasunaga et al.2022 · 182 citations
17. Med-Flamingo: a Multimodal Medical Few-shot Learner ↗arXiv:2307.15189 · no summary yetMichael Moor et al.2023 · 116 citations
18. Graph-based, Self-Supervised Program Repair from Diagnostic Feedback ↗arXiv:2005.10636 · no summary yetMichihiro Yasunaga, Percy Liang2020 · 107 citations
19. GreaseLM: Graph REASoning Enhanced Language Models for Question Answering ↗arXiv (Cornell University) · no summary yetXikun Zhang et al.2022 · 106 citations
20. Retrieval-Augmented Multimodal Language Modeling ↗arXiv:2211.12561 · no summary yetMichihiro Yasunaga et al.2022 · 104 citations
21. Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention ClusteringAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, et al.2018 · 84 citations
22. Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model ↗arXiv:2408.11039 · no summary yetChunting Zhou et al.2024 · 83 citations
23. BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical TextarXiv:2403.18421Elliot Bolton, Abhinav Venigalla, Michihiro Yasunaga, et al.2024 · 79 citations
24. Holistic Evaluation of Text-to-Image Models ↗neural information processing systems · no summary yetTony Lee et al.2023 · 77 citations
25. Large Language Models as Analogical Reasoners ↗arXiv:2310.01714 · no summary yetMichihiro Yasunaga et al.2023 · 74 citations
26. VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetYanan Wang et al.2023 · 72 citations
27. LM-Critic: Language Models for Unsupervised Grammatical Error Correction ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetMichihiro Yasunaga, Jure Leskovec, Percy Liang2021 · 63 citations
28. Break-It-Fix-It: Unsupervised Learning for Program Repair ↗arXiv:2106.06600 · no summary yetMichihiro Yasunaga, Percy Liang2021 · 62 citations
29. LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs ↗International Conference on Machine Learning · no summary yetHongyu Ren et al.2021 · 49 citations
30. STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases ↗neural information processing systems · no summary yetShirley Wu et al.2024 · 38 citations
31. AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning ↗neural information processing systems · no summary yetShirley Wu et al.2024 · 36 citations
32. VHELM: A Holistic Evaluation of Vision Language Models ↗neural information processing systems · no summary yetTong Lee et al.2024 · 34 citations
33. Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models ↗arXiv (Cornell University) · no summary yetMichihiro Yasunaga, Luke Zettlemoyer, Marjan Ghazvininejad2025 · 19 citations
34. Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts ↗arXiv:2302.09155 · no summary yetChandrayee Basu et al.2023 · 19 citations
35. Extending the WILDS Benchmark for Unsupervised Adaptation ↗arXiv (Cornell University) · no summary yetShiori Sagawa et al.2021 · 18 citations
36. Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetYuhui Zhang et al.2023 · 16 citations
37. Image2Struct: Benchmarking Structure Extraction for Vision-Language Models ↗neural information processing systems · no summary yetJosselin Somerville Roberts et al.2024 · 7 citations
38. Zero-shot causal learning ↗neural information processing systems · no summary yetHamed Nilforoshan et al.2023 · 7 citations
39. CAT: Content-Adaptive Image Tokenization ↗neural information processing systems · no summary yetJun-Hong Shen et al.2025 · 6 citations
40. ALMA: Alignment with Minimal Annotation ↗arXiv (Cornell University) · no summary yetMichihiro Yasunaga et al.2024 · 6 citations
41. Predicting drug outcome of population via clinical knowledge graph ↗medRxiv · no summary yetMaria Brbić et al.2024 · 4 citations
42. reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetZhaofeng Wu et al.2025 · 3 citations
43. How to Make LMs Strong Node Classifiers? ↗Findings of the Association for Computational Linguistics: EACL 2026 · no summary yetZhe Xu et al.2026
44. Multimodal Foundation Models for Healthcare ↗CRC Press eBooks · no summary yetMichihiro Yasunaga, Percy Liang2026
45. DrRepair: A Self-Supervised, Graph-Attentional Approach to Repairing Programs from Diagnostic Feedback ↗International Conference on Machine Learning · no summary yetMichihiro Yasunaga, Percy Liang2020

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