Wen-tau Yih14 papers on this site (2004–2024)Trusting Your Evidence: Hallucinate Less with Context-aware DecodingWeijia Shi, Xiaochuang Han, Mike Lewis, et al.2024FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationSewon Min, Kalpesh Krishna, Xinxi Lyu, et al.2023LEVER: Learning to Verify Language-to-Code Generation with ExecutionAnsong Ni, Srini Iyer, Dragomir Radev, et al.2023REPLUG: Retrieval-Augmented Black-Box Language ModelsWeijia Shi, Sewon Min, Michihiro Yasunaga, et al.2023Improving Passage Retrieval with Zero-Shot Question GenerationDevendra Sachan, Mike Lewis, Mandar Joshi, et al.2022One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsHongjin Su, Weijia Shi, Jungo Kasai, et al.2022Dense Passage Retrieval for Open-Domain Question AnsweringVladimir Karpukhin, Barlas Oguz, Sewon Min, et al.2020TaBERT: Pretraining for Joint Understanding of Textual and Tabular DataPengcheng Yin, Graham Neubig, Wen-tau Yih, et al.2020Dissecting Contextual Word Embeddings: Architecture and RepresentationMatthew E. Peters, Mark Neumann, Luke Zettlemoyer, et al.2018QuAC: Question Answering in ContextEunsol Choi, He He, Mohit Iyyer, et al.2018Search-based Neural Structured Learning for Sequential Question AnsweringMohit Iyyer, Wen-tau Yih, Ming-Wei Chang2017WikiQA: A Challenge Dataset for Open-Domain Question AnsweringYi Yang, Wen-tau Yih, Christopher Meek2015The Importance of Syntactic Parsing and Inference in Semantic Role LabelingVasin Punyakanok, Dan Roth, Wen-tau Yih2008A Linear Programming Formulation for Global Inference in Natural Language TasksDan Roth, Wen-tau Yih2004