World's Best Scientists 2026 revealed!

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Computer Science

D-Index
66
Citations
26438
World Ranking
2265
National Ranking
1130

Overview

Wen-tau Yih is a researcher affiliated with Facebook in the United States. Their academic contributions span primarily across the field of Computer Science, with a focus on several specialized subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Software, and Molecular Biology.

Their research extensively covers a variety of topics, incorporating:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Text Readability and Simplification
  • Software Engineering Research

Wen-tau Yih has published numerous papers in established venues, including:

  • Contextual Personal Intelligence: A New Paradigm for AI That Evolves With You, 2025, arXiv (Cornell University)
  • Rule Learning over Knowledge Graphs: A Review, 2023, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • InCoder: A Generative Model for Code Infilling and Synthesis, 2022, arXiv (Cornell University)
  • REPLUG: Retrieval-Augmented Black-Box Language Models, 2023, arXiv (Cornell University)
  • Autoregressive Search Engines: Generating Substrings as Document Identifiers, 2022, arXiv (Cornell University)

The venues where Wen-tau Yih frequently publishes include:

  • arXiv (Cornell University) with 55 publications
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl) with 1 publication
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing with 1 publication

Notable frequent coauthors collaborating with Wen-tau Yih are:

  • Barlas Oğuz (15 joint publications)
  • Luke Zettlemoyer (14 joint publications)
  • Xilun Chen (13 joint publications)
  • Yashar Mehdad (12 joint publications)
  • Patrick Lewis (9 joint publications)

Best Publications

  • Linguistic Regularities in Continuous Space Word Representations

    Tomas Mikolov;Wen-tau Yih;Geoffrey Zweig

  • Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

    Patrick S. H. Lewis;Ethan Perez;Aleksandra Piktus;Fabio Petroni

  • Embedding Entities and Relations for Learning and Inference in Knowledge Bases

    Bishan Yang;Wen-tau Yih;Xiaodong He;Jianfeng Gao

  • Dense Passage Retrieval for Open-Domain Question Answering

    Vladimir Karpukhin;Barlas Oguz;Sewon Min;Patrick S. H. Lewis

  • WikiQA: A Challenge Dataset for Open-Domain Question Answering

    Yi Yang;Wen-tau Yih;Christopher Meek

  • Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base

    Wen-tau Yih;Ming-Wei Chang;Xiaodong He;Jianfeng Gao

  • QuAC: Question Answering in Context

    Eunsol Choi;He He;Mohit Iyyer;Mohit Iyyer;Mark Yatskar

  • Dissecting Contextual Word Embeddings: Architecture and Representation

    Matthew E. Peters;Mark Neumann;Luke Zettlemoyer;Wen-tau Yih

  • Cross-Sentence N-ary Relation Extraction with Graph LSTMs

    Nanyun Peng;Hoifung Poon;Chris Quirk;Kristina Toutanova

  • The importance of syntactic parsing and inference in semantic role labeling

    Vasin Punyakanok;Vasin Punyakanok;Vasin Punyakanok;Dan Roth;Dan Roth;Dan Roth;Wen-tau Yih;Wen-tau Yih;Wen-tau Yih

  • A Knowledge-Grounded Neural Conversation Model

    Marjan Ghazvininejad;Chris Brockett;Ming-Wei Chang;Bill Dolan

  • A Linear Programming Formulation for Global Inference in Natural Language Tasks

    Dan Roth;Wen-tau Yih

  • Semantic Parsing for Single-Relation Question Answering

    Wen-tau Yih;Xiaodong He;Christopher Meek

  • TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

    Pengcheng Yin;Graham Neubig;Wen-tau Yih;Sebastian Riedel

  • The Value of Semantic Parse Labeling for Knowledge Base Question Answering

    Wen-tau Yih;Matthew Richardson;Christopher Meek;Ming-Wei Chang

  • Finding advertising keywords on web pages

    Wen-tau Yih;Joshua Goodman;Vitor R. Carvalho

  • Question Answering Using Enhanced Lexical Semantic Models

    Wen-tau Yih;Ming-Wei Chang;Christopher Meek;Andrzej Pastusiak

  • Learning Discriminative Projections for Text Similarity Measures

    Wen-tau Yih;Kristina Toutanova;John C. Platt;Christopher Meek

  • Integer linear programming inference for conditional random fields

    Dan Roth;Wen-tau Yih

  • Semantic role labeling via integer linear programming inference

    Vasin Punyakanok;Dan Roth;Wen-tau Yih;Dav Zimak

  • Abductive Commonsense Reasoning

    Chandra Bhagavatula;Ronan Le Bras;Chaitanya Malaviya;Keisuke Sakaguchi

Frequent Co-Authors

Dan Roth
Dan Roth University of Pennsylvania
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Ming-Wei Chang
Ming-Wei Chang Google (United States)
Kristina Toutanova
Kristina Toutanova Google (United States)
Li Deng
Li Deng Citadel
Hao Ma
Hao Ma Facebook (United States)
Sebastian Riedel
Sebastian Riedel University College London
Chris Quirk
Chris Quirk Microsoft (United States)
Geoffrey Zweig
Geoffrey Zweig Facebook (United States)
Hoifung Poon
Hoifung Poon Microsoft (United States)

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