---
title: "Michihiro Yasunaga — all works — Elamur Research"
description: "All 45 works of Michihiro Yasunaga in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/michihiro-yasunaga/works/"
---
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# Michihiro Yasunaga — all works

45 works · [← Michihiro Yasunaga](https://md.research.elamur.ai/free/en/authors/michihiro-yasunaga/)

1. **[Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task](https://md.research.elamur.ai/free/en/papers/yu-2018-spider-large-scale-human-labeled/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tao Yu, Rui Zhang, Kai Yang, et al.*2018 · 1,602 citations*
2. **[Holistic Evaluation of Language Models ↗](https://arxiv.org/abs/2211.09110) arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023 · no summary yet**Percy Liang et al.*2022 · 1,001 citations*
3. **[Is ChatGPT a General-Purpose Natural Language Processing Task Solver?](https://md.research.elamur.ai/free/en/papers/qin-2023-chatgpt-general-purpose-natural-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/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 ↗](https://aclanthology.org/2021.naacl-main.45/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Michihiro Yasunaga et al.*2021 · 742 citations*
5. [**REPLUG: Retrieval-Augmented Black-Box Language Models arXiv:2301.12652**Weijia Shi, Sewon Min, Michihiro Yasunaga, et al.*2023 · 492 citations*](https://md.research.elamur.ai/free/en/papers/shi-2023-replug-retrieval-augmented-black-box/)
6. **[LinkBERT: Pretraining Language Models with Document Links](https://md.research.elamur.ai/free/en/papers/yasunaga-2022-linkbert-pretraining-language-models-document/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michihiro Yasunaga, Jure Leskovec, Percy Liang*2022 · 458 citations*
7. **[UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models](https://md.research.elamur.ai/free/en/papers/xie-2022-unifiedskg-unifying-multi-tasking-structured/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tianbao Xie, Chen Henry Wu, Peng Shi, et al.*2022 · 407 citations*
8. **[WILDS: A Benchmark of in-the-Wild Distribution Shifts ↗](https://arxiv.org/abs/2012.07421) CaltechAUTHORS (California Institute of Technology) · no summary yet**Pang Wei Koh et al.*2020 · 405 citations*
9. **[Graph-based Neural Multi-Document Summarization](https://md.research.elamur.ai/free/en/papers/yasunaga-2017-graph-based-neural-multi-document/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/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 ↗](https://doi.org/10.1609/aaai.v33i01.33017386) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Michihiro Yasunaga et al.*2019 · 274 citations*
11. **[HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models](https://md.research.elamur.ai/free/en/papers/gutierrez-2024-hipporag-neurobiologically-inspired-long-term/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**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 Databases](https://md.research.elamur.ai/free/en/papers/yu-2019-cosql-conversational-text-sql-challenge/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/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 ↗](https://aclanthology.org/D18-1193/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Tao Yu et al.*2018 · 255 citations*
14. **[SParC: Cross-Domain Semantic Parsing in Context](https://md.research.elamur.ai/free/en/papers/yu-2019-sparc-cross-domain-semantic-parsing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tao Yu, Rui Zhang, Michihiro Yasunaga, et al.*2019 · 228 citations*
15. **[Robust Multilingual Part-of-Speech Tagging via Adversarial Training ↗](https://aclanthology.org/N18-1089/) 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 yet**Michihiro Yasunaga, Jungo Kasai, Dragomir Radev*2018 · 187 citations*
16. **[Deep Bidirectional Language-Knowledge Graph Pretraining ↗](https://doi.org/10.52202/068431-2704) neural information processing systems · no summary yet**Michihiro Yasunaga et al.*2022 · 182 citations*
17. **[Med-Flamingo: a Multimodal Medical Few-shot Learner ↗](https://arxiv.org/abs/2307.15189) arXiv:2307.15189 · no summary yet**Michael Moor et al.*2023 · 116 citations*
18. **[Graph-based, Self-Supervised Program Repair from Diagnostic Feedback ↗](https://arxiv.org/abs/2005.10636) arXiv:2005.10636 · no summary yet**Michihiro Yasunaga, Percy Liang*2020 · 107 citations*
19. **[GreaseLM: Graph REASoning Enhanced Language Models for Question Answering ↗](https://arxiv.org/abs/2201.08860) arXiv (Cornell University) · no summary yet**Xikun Zhang et al.*2022 · 106 citations*
20. **[Retrieval-Augmented Multimodal Language Modeling ↗](https://arxiv.org/abs/2211.12561) arXiv:2211.12561 · no summary yet**Michihiro Yasunaga et al.*2022 · 104 citations*
21. **[Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering](https://md.research.elamur.ai/free/en/papers/zhang-2018-neural-coreference-resolution-deep-biaffine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 ↗](https://arxiv.org/abs/2408.11039) arXiv:2408.11039 · no summary yet**Chunting Zhou et al.*2024 · 83 citations*
23. [**BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text arXiv:2403.18421**Elliot Bolton, Abhinav Venigalla, Michihiro Yasunaga, et al.*2024 · 79 citations*](https://md.research.elamur.ai/free/en/papers/bolton-2024-biomedlm-2-7b-parameter-language/)
24. **[Holistic Evaluation of Text-to-Image Models ↗](https://doi.org/10.52202/075280-3067) neural information processing systems · no summary yet**Tony Lee et al.*2023 · 77 citations*
25. **[Large Language Models as Analogical Reasoners ↗](https://arxiv.org/abs/2310.01714) arXiv:2310.01714 · no summary yet**Michihiro Yasunaga et al.*2023 · 74 citations*
26. **[VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering ↗](https://doi.org/10.1109/iccv51070.2023.01973) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Yanan Wang et al.*2023 · 72 citations*
27. **[LM-Critic: Language Models for Unsupervised Grammatical Error Correction ↗](https://aclanthology.org/2021.emnlp-main.611/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Michihiro Yasunaga, Jure Leskovec, Percy Liang*2021 · 63 citations*
28. **[Break-It-Fix-It: Unsupervised Learning for Program Repair ↗](https://arxiv.org/abs/2106.06600) arXiv:2106.06600 · no summary yet**Michihiro Yasunaga, Percy Liang*2021 · 62 citations*
29. **[LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs ↗](https://openalex.org/W3167967639) International Conference on Machine Learning · no summary yet**Hongyu Ren et al.*2021 · 49 citations*
30. **[STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases ↗](https://doi.org/10.52202/079017-4037) neural information processing systems · no summary yet**Shirley Wu et al.*2024 · 38 citations*
31. **[AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning ↗](https://doi.org/10.52202/079017-0817) neural information processing systems · no summary yet**Shirley Wu et al.*2024 · 36 citations*
32. **[VHELM: A Holistic Evaluation of Vision Language Models ↗](https://doi.org/10.52202/079017-4464) neural information processing systems · no summary yet**Tong Lee et al.*2024 · 34 citations*
33. **[Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models ↗](https://arxiv.org/abs/2502.14191) arXiv (Cornell University) · no summary yet**Michihiro Yasunaga, Luke Zettlemoyer, Marjan Ghazvininejad*2025 · 19 citations*
34. **[Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts ↗](https://arxiv.org/abs/2302.09155) arXiv:2302.09155 · no summary yet**Chandrayee Basu et al.*2023 · 19 citations*
35. **[Extending the WILDS Benchmark for Unsupervised Adaptation ↗](https://arxiv.org/abs/2112.05090) arXiv (Cornell University) · no summary yet**Shiori Sagawa et al.*2021 · 18 citations*
36. **[Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models ↗](https://aclanthology.org/2023.findings-acl.472/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Yuhui Zhang et al.*2023 · 16 citations*
37. **[Image2Struct: Benchmarking Structure Extraction for Vision-Language Models ↗](https://doi.org/10.52202/079017-3653) neural information processing systems · no summary yet**Josselin Somerville Roberts et al.*2024 · 7 citations*
38. **[Zero-shot causal learning ↗](https://doi.org/10.52202/075280-0301) neural information processing systems · no summary yet**Hamed Nilforoshan et al.*2023 · 7 citations*
39. **[CAT: Content-Adaptive Image Tokenization ↗](https://doi.org/10.52202/085713-0026) neural information processing systems · no summary yet**Jun-Hong Shen et al.*2025 · 6 citations*
40. **[ALMA: Alignment with Minimal Annotation ↗](https://arxiv.org/abs/2412.04305) arXiv (Cornell University) · no summary yet**Michihiro Yasunaga et al.*2024 · 6 citations*
41. **[Predicting drug outcome of population via clinical knowledge graph ↗](https://doi.org/10.1101/2024.03.06.24303800) medRxiv · no summary yet**Maria Brbić et al.*2024 · 4 citations*
42. **[reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs ↗](https://aclanthology.org/2025.emnlp-main.167/) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zhaofeng Wu et al.*2025 · 3 citations*
43. **[How to Make LMs Strong Node Classifiers? ↗](https://aclanthology.org/2026.findings-eacl.14/) Findings of the Association for Computational Linguistics: EACL 2026 · no summary yet**Zhe Xu et al.*2026*
44. **[Multimodal Foundation Models for Healthcare ↗](https://doi.org/10.1201/9781003471165-2) CRC Press eBooks · no summary yet**Michihiro Yasunaga, Percy Liang*2026*
45. **[DrRepair: A Self-Supervised, Graph-Attentional Approach to Repairing Programs from Diagnostic Feedback ↗](https://openalex.org/W3034243721) International Conference on Machine Learning · no summary yet**Michihiro Yasunaga, Percy Liang*2020*