---
title: "Wen-tau Yih — all works — Elamur Research"
description: "All 72 works of Wen-tau Yih 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/wen-tau-yih/works/"
---
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# Wen-tau Yih — all works

72 works · [← Wen-tau Yih](https://md.research.elamur.ai/free/en/authors/wen-tau-yih/)

1. [**Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks arXiv:2005.11401**Patrick Lewis, Ethan Perez, Aleksandra Piktus, et al.*2020 · 6,256 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2020-retrieval-augmented-generation-knowledge-intensive/)
2. **[Dense Passage Retrieval for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/karpukhin-2020-dense-passage-retrieval-open-domain/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Vladimir Karpukhin, Barlas Oguz, Sewon Min, et al.*2020 · 5,421 citations*
3. **[Linguistic Regularities in Continuous Space Word Representations](https://md.research.elamur.ai/free/en/papers/mikolov-2013-linguistic-regularities-continuous-space-word/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tomas Mikolov, Wen-tau Yih, Geoffrey Zweig*2013 · 3,513 citations*
4. [**Embedding Entities and Relations for Learning and Inference in Knowledge Bases arXiv:1412.6575**Bishan Yang, Wen-tau Yih, Xiaodong He, et al.*2014 · 2,370 citations*](https://md.research.elamur.ai/free/en/papers/yang-2014-embedding-entities-relations-learning-inference/)
5. **[WikiQA: A Challenge Dataset for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/yang-2015-wikiqa-challenge-dataset-open-domain/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yi Yang, Wen-tau Yih, Christopher Meek*2015 · 1,138 citations*
6. **[QuAC: Question Answering in Context](https://md.research.elamur.ai/free/en/papers/choi-2018-quac-question-answering-context/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Eunsol Choi, He He, Mohit Iyyer, et al.*2018 · 1,066 citations*
7. **[FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation](https://md.research.elamur.ai/free/en/papers/min-2023-factscore-fine-grained-atomic-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al.*2023 · 987 citations*
8. **[Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base](https://md.research.elamur.ai/free/en/papers/yih-2015-semantic-parsing-staged-query-graph/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wen-tau Yih, Ming-Wei Chang, Xiaodong He, et al.*2015 · 966 citations*
9. **[The Value of Semantic Parse Labeling for Knowledge Base Question Answering](https://md.research.elamur.ai/free/en/papers/yih-2016-value-semantic-parse-labeling-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wen-tau Yih, Matthew Richardson, Chris Meek, et al.*2016 · 722 citations*
10. **[TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data](https://md.research.elamur.ai/free/en/papers/yin-2020-tabert-pretraining-joint-understanding-textual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengcheng Yin, Graham Neubig, Wen-tau Yih, et al.*2020 · 692 citations*
11. **[A Linear Programming Formulation for Global Inference in Natural Language Tasks](https://md.research.elamur.ai/free/en/papers/roth-2004-linear-programming-formulation-global-inference/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Dan Roth, Wen-tau Yih*2004 · 650 citations*
12. **[Dissecting Contextual Word Embeddings: Architecture and Representation](https://md.research.elamur.ai/free/en/papers/peters-2018-dissecting-contextual-word-embeddings-architecture/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, et al.*2018 · 592 citations*
13. **[Cross-Sentence N-ary Relation Extraction with Graph LSTMs](https://md.research.elamur.ai/free/en/papers/peng-2017-cross-sentence-n-ary-relation/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Nanyun Peng, Hoifung Poon, Chris Quirk, et al.*2017 · 557 citations*
14. **[The Importance of Syntactic Parsing and Inference in Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/punyakanok-2008-importance-syntactic-parsing-inference-semantic/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Vasin Punyakanok, Dan Roth, Wen-tau Yih*2008 · 542 citations*
15. [**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/)
16. **[Semantic Parsing for Single-Relation Question Answering](https://md.research.elamur.ai/free/en/papers/yih-2014-semantic-parsing-single-relation-question/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wen-tau Yih, Xiaodong He, Christopher Meek*2014 · 489 citations*
17. **[Search-based Neural Structured Learning for Sequential Question Answering](https://md.research.elamur.ai/free/en/papers/iyyer-2017-search-based-neural-structured-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang*2017 · 330 citations*
18. **[InCoder: A Generative Model for Code Infilling and Synthesis ↗](https://arxiv.org/abs/2204.05999) arXiv:2204.05999 · no summary yet**Daniel Fried et al.*2023 · 300 citations*
19. **[Learning Discriminative Projections for Text Similarity Measures](https://md.research.elamur.ai/free/en/papers/yih-2011-learning-discriminative-projections-text-similarity/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Wen-tau Yih, Kristina Toutanova, John C. Platt, et al.*2011 · 277 citations*
20. **[Trusting Your Evidence: Hallucinate Less with Context-aware Decoding](https://md.research.elamur.ai/free/en/papers/shi-2024-trusting-your-evidence-hallucinate-less/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Weijia Shi, Xiaochuang Han, Mike Lewis, et al.*2024 · 249 citations*
21. **[Integer linear programming inference for conditional random fields ↗](https://doi.org/10.1145/1102351.1102444) International Conference on Machine Learning · no summary yet**Dan Roth, Wen-tau Yih*2005 · 226 citations*
22. **[Semantic Role Labeling Via Integer Linear Programming Inference ↗](https://aclanthology.org/C04-1197/) COLING 2004: Proceedings of the 20th International Conference on Computational Linguistics · no summary yet**Vasin Punyakanok et al.*2004 · 226 citations*
23. **[Unsupervised Question Decomposition for Question Answering](https://md.research.elamur.ai/free/en/papers/perez-2020-unsupervised-question-decomposition-question-answering/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ethan Perez, Patrick Lewis, Wen-tau Yih, et al.*2020 · 222 citations*
24. **[Blockwise Self-Attention for Long Document Understanding ↗](https://aclanthology.org/2020.findings-emnlp.232/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Jiezhong Qiu et al.*2020 · 219 citations*
25. **[Global Inference for Entity and Relation Identification via a Linear Programming Formulation ↗](https://doi.org/10.7551/mitpress/7432.003.0022) The MIT Press eBooks · no summary yet**Dan Roth, Wen-tau Yih*2007 · 204 citations*
26. **[Improving Passage Retrieval with Zero-Shot Question Generation](https://md.research.elamur.ai/free/en/papers/sachan-2022-improving-passage-retrieval-zero-shot/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Devendra Sachan, Mike Lewis, Mandar Joshi, et al.*2022 · 199 citations*
27. [**One Embedder, Any Task: Instruction-Finetuned Text Embeddings arXiv:2212.09741**Hongjin Su, Weijia Shi, Jungo Kasai, et al.*2022 · 193 citations*](https://md.research.elamur.ai/free/en/papers/su-2022-one-embedder-any-task-instruction/)
28. **[Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension ↗](https://aclanthology.org/N18-1144/) 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**Bhavana Dalvi et al.*2018 · 181 citations*
29. **[Generalized Inference with Multiple Semantic Role Labeling Systems ↗](https://aclanthology.org/W05-0625/) Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005) · no summary yet**Peter Koomen et al.*2005 · 174 citations*
30. **[Efficient One-Pass End-to-End Entity Linking for Questions ↗](https://aclanthology.org/2020.emnlp-main.522/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Belinda Z. Li et al.*2020 · 172 citations*
31. **[The necessity of syntactic parsing for semantic role labeling ↗](https://openalex.org/W1531859941) no summary yet**Vasin Punyakanok, Dan Roth, Wen-tau Yih*2005 · 166 citations*
32. **[Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text ↗](https://aclanthology.org/P16-1136/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Kristina Toutanova et al.*2016 · 162 citations*
33. **[Probabilistic Reasoning for Entity & Relation Recognition ↗](https://aclanthology.org/C02-1151/) COLING 2002: The 19th International Conference on Computational Linguistics · no summary yet**Dan Roth, Wen-tau Yih*2002 · 159 citations*
34. **[Natural Language to Structured Query Generation via Meta-Learning ↗](https://aclanthology.org/N18-2115/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · no summary yet**Po-Sen Huang et al.*2018 · 149 citations*
35. **[One Embedder, Any Task: Instruction-Finetuned Text Embeddings ↗](https://aclanthology.org/2023.findings-acl.71/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Hongjin Su et al.*2023 · 136 citations*
36. **[Task-aware Retrieval with Instructions](https://md.research.elamur.ai/free/en/papers/asai-2023-task-aware-retrieval-instructions/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Akari Asai, Timo Schick, Patrick Lewis, et al.*2023 · 132 citations*
37. **[Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/chen-2020-open-domain-question-answering/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Danqi Chen, Wen-tau Yih*2020 · 129 citations*
38. **[Reasoning about Actions and State Changes by Injecting Commonsense Knowledge ↗](https://aclanthology.org/D18-1006/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Niket Tandon et al.*2018 · 129 citations*
39. **[Learning and inference over constrained output ↗](https://openalex.org/W1781547478) no summary yet**Vasin Punyakanok et al.*2005 · 127 citations*
40. [**LEVER: Learning to Verify Language-to-Code Generation with Execution arXiv:2302.08468**Ansong Ni, Srini Iyer, Dragomir Radev, et al.*2023 · 126 citations*](https://md.research.elamur.ai/free/en/papers/ni-2023-lever-learning-verify-language-code/)
41. **[How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval](https://md.research.elamur.ai/free/en/papers/lin-2023-how-train-your-dragon-diverse/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sheng-Chieh Lin, Akari Asai, Minghan Li, et al.*2023 · 116 citations*
42. **[Mapping Dependencies Trees: An Application to Question Answering ↗](https://openalex.org/W62188290) no summary yet**Vasin Punyakanok, Dan Roth, Wen-tau Yih*2003 · 107 citations*
43. [**Retrieval-Augmented Multimodal Language Modeling arXiv:2211.12561**Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, et al.*2022 · 104 citations*](https://md.research.elamur.ai/free/en/papers/yasunaga-2022-retrieval-augmented-multimodal-language-modeling/)
44. **[FlowQA: Grasping Flow in History for Conversational Machine Comprehension ↗](https://arxiv.org/abs/1810.06683) arXiv (Cornell University) · no summary yet**Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih*2018 · 98 citations*
45. **[Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study ↗](https://aclanthology.org/D19-1547/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Ziyu Yao et al.*2019 · 96 citations*
46. **[Relational learning via propositional algorithms: an information extraction case study ↗](https://openalex.org/W2155925463) no summary yet**Dan Roth, Wen-tau Yih*2001 · 94 citations*
47. **[Nonparametric Masked Language Modeling ↗](https://aclanthology.org/2023.findings-acl.132/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Sewon Min et al.*2023 · 62 citations*
48. **[Coder Reviewer Reranking for Code Generation ↗](https://arxiv.org/abs/2211.16490) arXiv:2211.16490 · no summary yet**Tianyi Zhang et al.*2022 · 52 citations*
49. **[Instruction-tuned Language Models are Better Knowledge Learners ↗](https://aclanthology.org/2024.acl-long.296/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zhengbao Jiang et al.*2024 · 47 citations*
50. [**Reliable, Adaptable, and Attributable Language Models with Retrieval arXiv:2403.03187**Akari Asai, Zexuan Zhong, Danqi Chen, et al.*2024 · 45 citations*](https://md.research.elamur.ai/free/en/papers/asai-2024-reliable-adaptable-attributable-language-models/)
51. **[Synthesizing scientific literature with retrieval-augmented language models ↗](https://doi.org/10.1038/s41586-025-10072-4) Nature · no summary yet**Akari Asai et al.*2026 · 42 citations*
52. **[ReasonIR: Training Retrievers for Reasoning Tasks ↗](https://arxiv.org/abs/2504.20595) arXiv (Cornell University) · no summary yet**Rulin Shao et al.*2025 · 41 citations*
53. **[Semantic Role Labeling Via Generalized Inference Over Classifiers ↗](https://aclanthology.org/W04-2421/) Proceedings of the Eighth Conference on Computational Natural Language Learning (CoNLL-2004) at HLT-NAACL 2004 · no summary yet**Vasin Punyakanok et al.*2004 · 38 citations*
54. **[RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering ↗](https://aclanthology.org/2023.findings-emnlp.470/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Victor Zhong et al.*2023 · 28 citations*
55. **[Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models ↗](https://arxiv.org/abs/2411.04996) arXiv:2411.04996 · Transactions on Machine Learning Research (2025), ISSN: 2835-8856 · no summary yet**Weixin Liang et al.*2024 · 25 citations*
56. **[Question-Answering via Enhanced Understanding of Questions. ↗](https://openalex.org/W74858926) no summary yet**Dan Roth et al.*2002 · 22 citations*
57. **[Large Language Model Programs ↗](https://arxiv.org/abs/2305.05364) arXiv:2305.05364 · no summary yet**Imanol Schlag et al.*2023 · 18 citations*
58. **[MoDE: CLIP Data Experts via Clustering ↗](https://doi.org/10.1109/cvpr52733.2024.02489) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jiawei Ma et al.*2024 · 15 citations*
59. **[DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers](https://md.research.elamur.ai/free/en/papers/ma-2025-drama-diverse-augmentation-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xueguang Ma, Xi Victoria Lin, Barlas Oguz, et al.*2025 · 13 citations*
60. **[Meta CLIP 2: A Worldwide Scaling Recipe ↗](https://doi.org/10.52202/085713-1601) neural information processing systems · no summary yet**Yung-Sung Chuang et al.*2025 · 10 citations*
61. **[Learning Components for A Question-Answering System. ↗](https://openalex.org/W1501005381) no summary yet**Dan Roth et al.*2001 · 8 citations*
62. **[Altogether: Image Captioning via Re-aligning Alt-text ↗](https://aclanthology.org/2024.emnlp-main.1075/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Hu Xu et al.*2024 · 6 citations*
63. **[Memory Layers at Scale ↗](https://arxiv.org/abs/2412.09764) arXiv (Cornell University) · no summary yet**Vincent-Pierre Berges et al.*2024 · 5 citations*
64. **[Improving Factuality with Explicit Working Memory ↗](https://aclanthology.org/2025.acl-long.548/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Mingda Chen et al.*2025 · 4 citations*
65. **[Continual Learning via Sparse Memory Finetuning ↗](https://arxiv.org/abs/2510.15103) arXiv (Cornell University) · no summary yet**Jessy Lin et al.*2025 · 3 citations*
66. **[Learning via Inference over Structurally Constrained Output ↗](https://openalex.org/W42646284) no summary yet**Vasin Punyakanok et al.*2004 · 2 citations*
67. **[Demonstrating an Interactive Semantic Role Labeling System ↗](https://aclanthology.org/H05-2004/) Proceedings of HLT/EMNLP 2005 Interactive Demonstrations · no summary yet**Vasin Punyakanok et al.*2005 · 1 citation*
68. **[Anchored Decoding: Provably Reducing Copyright Risk for Any Language Model ↗](https://arxiv.org/abs/2602.07120) arXiv (Cornell University) · no summary yet**Jacqueline He et al.*2026*
69. **[Knowledge Distillation During Mid-Training Favors Reasoning over Factual Recall ↗](https://arxiv.org/abs/2609.01532) arXiv:2609.01532 · no summary yet**Jacqueline He et al.*2026*
70. **[Context Language Models ↗](https://arxiv.org/abs/2609.37725) arXiv (Cornell University) · no summary yet**Rulin Shao et al.*2026*
71. **[NLP for Precision Medicine ↗](https://aclanthology.org/P17-5001/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts · no summary yet**Hoifung Poon et al.*2017*
72. **[Learning and inference for information extraction ↗](https://openalex.org/W121412008) no summary yet**Dan Roth, Wen-tau Yih*2005*