---
title: "Wen-tau Yih — papers"
description: "Wen-tau Yih: 15 papers in the Elamur Research library (2004–2024) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/wen-tau-yih/"
---
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# Wen-tau Yih

15 papers on this site (2004–2024)

[OpenAlex](https://openalex.org/A5066873932) · h-index 59 · 166 works · 21719 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [Trusting Your Evidence: Hallucinate Less with Context-aware Decoding](https://md.research.elamur.ai/free/en/papers/shi-2024-trusting-your-evidence-hallucinate-less/) — Weijia Shi, Xiaochuang Han, Mike Lewis, et al. · 2024
- [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/) — Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al. · 2023
- [LEVER: Learning to Verify Language-to-Code Generation with Execution](https://md.research.elamur.ai/free/en/papers/ni-2023-lever-learning-verify-language-code/) — Ansong Ni, Srini Iyer, Dragomir Radev, et al. · 2023
- [REPLUG: Retrieval-Augmented Black-Box Language Models](https://md.research.elamur.ai/free/en/papers/shi-2023-replug-retrieval-augmented-black-box/) — Weijia Shi, Sewon Min, Michihiro Yasunaga, et al. · 2023
- [Improving Passage Retrieval with Zero-Shot Question Generation](https://md.research.elamur.ai/free/en/papers/sachan-2022-improving-passage-retrieval-zero-shot/) — Devendra Sachan, Mike Lewis, Mandar Joshi, et al. · 2022
- [One Embedder, Any Task: Instruction-Finetuned Text Embeddings](https://md.research.elamur.ai/free/en/papers/su-2022-one-embedder-any-task-instruction/) — Hongjin Su, Weijia Shi, Jungo Kasai, et al. · 2022
- [Dense Passage Retrieval for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/karpukhin-2020-dense-passage-retrieval-open-domain/) — Vladimir Karpukhin, Barlas Oguz, Sewon Min, et al. · 2020
- [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/) — Pengcheng Yin, Graham Neubig, Wen-tau Yih, et al. · 2020
- [Dissecting Contextual Word Embeddings: Architecture and Representation](https://md.research.elamur.ai/free/en/papers/peters-2018-dissecting-contextual-word-embeddings-architecture/) — Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, et al. · 2018
- [QuAC: Question Answering in Context](https://md.research.elamur.ai/free/en/papers/choi-2018-quac-question-answering-context/) — Eunsol Choi, He He, Mohit Iyyer, et al. · 2018
- [Search-based Neural Structured Learning for Sequential Question Answering](https://md.research.elamur.ai/free/en/papers/iyyer-2017-search-based-neural-structured-learning/) — Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang · 2017
- [WikiQA: A Challenge Dataset for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/yang-2015-wikiqa-challenge-dataset-open-domain/) — Yi Yang, Wen-tau Yih, Christopher Meek · 2015
- [Learning Discriminative Projections for Text Similarity Measures](https://md.research.elamur.ai/free/en/papers/yih-2011-learning-discriminative-projections-text-similarity/) — Wen-tau Yih, Kristina Toutanova, John C. Platt, et al. · 2011
- [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/) — Vasin Punyakanok, Dan Roth, Wen-tau Yih · 2008
- [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/) — Dan Roth, Wen-tau Yih · 2004