Wen-tau Yih - RankMe

221 papers A* 46B 7Journal 100Unranked 67

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Anchored Decoding: Provably Reducing Copyright Risk for Any Language Model. CoRR Jacqueline He, Jonathan Hayase, Wen-tau Yih, Sewoong Oh, Luke Zettlemoyer, Pang Wei Koh
2026	—	`conf`	Knowledge Extraction on Semi-Structured Content: Does It Remain Relevant for Question Answering in the Era of LLMs? EACL (Volume 1: Long Papers) Kai Sun, Yin Huang, Srishti Mehra, Mohammad Kachuee, Xilun Chen, Renjie Tao, Zhaojiang Lin, Andrea Jessee, Nirav Shah, Alex Betty, Yue Liu, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
2025	J	`jnl`	CRAG-MM: Multi-modal Multi-turn Comprehensive RAG Benchmark. CoRR Jiaqi Wang, Xiao Yang, Kai Sun, Parth Suresh, Sanat Sharma, Adam Czyzewski, Derek Andersen, Surya Teja Appini, Arkav Banerjee, Sajal Choudhary, Shervin Ghasemlou, Ziqiang Guan, Akil Iyer, Haidar Khan, Lingkun Kong, Roy Luo, Tiffany Ma, Zhen Qiao, David Tran, Wenfang Xu, Skyler Yeatman, Chen Zhou, Gunveer Gujral, Yinglong Xia, Shane Moon, Nicolas Scheffer, Nirav Shah, Eun Chang, Yue Liu, Florian Metze, Tammy Stark, Zhaleh Feizollahi, Andrea Jessee, Mangesh Pujari, Ahmed Aly, Babak Damavandi, Rakesh Wanga, Anuj Kumar, Rohit Patel, Wen-tau Yih, Xin Luna Dong
2025	J	`jnl`	ConfQA: Answer Only If You Are Confident. CoRR Yin Huang, Yifan Ethan Xu, Kai Sun, Vera Yan, Alicia Sun, Haidar Khan, Jimmy Nguyen, Mohammad Kachuee, Zhaojiang Lin, Yue Liu, Aaron Colak, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
2025	J	`jnl`	Continual Learning via Sparse Memory Finetuning. CoRR Jessy Lin, Luke Zettlemoyer, Gargi Ghosh, Wen-tau Yih, Aram H. Markosyan, Vincent-Pierre Berges, Barlas Oguz
2025	J	`jnl`	DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research. CoRR Rulin Shao, Akari Asai, Shannon Zejiang Shen, Hamish Ivison, Varsha Kishore, Jingming Zhuo, Xinran Zhao, Molly Park, Samuel G. Finlayson, David A. Sontag, Tyler Murray, Sewon Min, Pradeep Dasigi, Luca Soldaini, Faeze Brahman, Wen-tau Yih, Tongshuang Wu, Luke Zettlemoyer, Yoon Kim, Hannaneh Hajishirzi, Pang Wei Koh
2025	—	`conf`	DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers. ACL (1) Xueguang Ma, Xi Victoria Lin, Barlas Oguz, Jimmy Lin, Wen-tau Yih, Xilun Chen
2025	J	`jnl`	DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers. CoRR Xueguang Ma, Xi Victoria Lin, Barlas Oguz, Jimmy Lin, Wen-tau Yih, Xilun Chen
2025	J	`jnl`	Data-Efficient Pretraining with Group-Level Data Influence Modeling. CoRR Zichun Yu, Fei Peng, Jie Lei, Arnold Overwijk, Wen-tau Yih, Chenyan Xiong
2025	J	`jnl`	FlexOlmo: Open Language Models for Flexible Data Use. CoRR Weijia Shi, Akshita Bhagia, Kevin Farhat, Niklas Muennighoff, Pete Walsh, Jacob Morrison, Dustin Schwenk, Shayne Longpre, Jake Poznanski, Allyson Ettinger, Daogao Liu, Margaret Li, Dirk Groeneveld, Mike Lewis, Wen-tau Yih, Luca Soldaini, Kyle Lo, Noah A. Smith, Luke Zettlemoyer, Pang Wei Koh, Hannaneh Hajishirzi, Ali Farhadi, Sewon Min
2025	J	`jnl`	HoneyBee: Data Recipes for Vision-Language Reasoners. CoRR Hritik Bansal, Devandra Singh Sachan, Kai-Wei Chang, Aditya Grover, Gargi Ghosh, Wen-tau Yih, Ramakanth Pasunuru
2025	—	`conf`	ImpRAG: Retrieval-Augmented Generation with Implicit Queries. EMNLP (Findings) Wenzheng Zhang, Xi Victoria Lin, Karl Stratos, Wen-tau Yih, Mingda Chen
2025	J	`jnl`	ImpRAG: Retrieval-Augmented Generation with Implicit Queries. CoRR Wenzheng Zhang, Xi Victoria Lin, Karl Stratos, Wen-tau Yih, Mingda Chen
2025	—	`conf`	Improving Factuality with Explicit Working Memory. ACL (1) Mingda Chen, Yang Li, Karthik Padthe, Rulin Shao, Alicia Yi Sun, Luke Zettlemoyer, Gargi Ghosh, Wen-tau Yih
2025	J	`jnl`	Knowledge Extraction on Semi-Structured Content: Does It Remain Relevant for Question Answering in the Era of LLMs? CoRR Kai Sun, Yin Huang, Srishti Mehra, Mohammad Kachuee, Xilun Chen, Renjie Tao, Zhaojiang Lin, Andrea Jessee, Nirav Shah, Alex Betty, Yue Liu, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
2025	J	`jnl`	Learning Facts at Scale with Active Reading. CoRR Jessy Lin, Vincent-Pierre Berges, Xilun Chen, Wen-tau Yih, Gargi Ghosh, Barlas Oguz
2025	J	`jnl`	Learning to Reason for Factuality. CoRR Xilun Chen, Ilia Kulikov, Vincent-Pierre Berges, Barlas Oguz, Rulin Shao, Gargi Ghosh, Jason Weston, Wen-tau Yih
2025	A*	`conf`	Memory Layers at Scale. ICML Vincent-Pierre Berges, Barlas Oguz, Daniel Haziza, Wen-tau Yih, Luke Zettlemoyer, Gargi Ghosh
2025	J	`jnl`	Meta CLIP 2: A Worldwide Scaling Recipe. CoRR Yung-Sung Chuang, Yang Li, Dong Wang, Ching-Feng Yeh, Kehan Lyu, Ramya Raghavendra, James Glass, Lifei Huang, Jason Weston, Luke Zettlemoyer, Xinlei Chen, Zhuang Liu, Saining Xie, Wen-tau Yih, Shang-wen Li, Hu Xu
2025	J	`jnl`	Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models. Trans. Mach. Learn. Res. Weixin Liang, Lili Yu, Liang Luo, Srini Iyer, Ning Dong, Chunting Zhou, Gargi Ghosh, Mike Lewis, Wen-tau Yih, Luke Zettlemoyer, Xi Victoria Lin
2025	—	`conf`	PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning. EMNLP (Industry Track) Mohammad Kachuee, Teja Gollapudi, Minseok Kim, Yin Huang, Kai Sun, Xiao Yang, Jiaqi Wang, Nirav Shah, Yue Liu, Aaron Colak, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
2025	J	`jnl`	PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning. CoRR Mohammad Kachuee, Teja Gollapudi, Minseok Kim, Yin Huang, Kai Sun, Xiao Yang, Jiaqi Wang, Nirav Shah, Yue Liu, Aaron Colak, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
2025	J	`jnl`	ReasonIR: Training Retrievers for Reasoning Tasks. CoRR Rulin Shao, Rui Qiao, Varsha Kishore, Niklas Muennighoff, Xi Victoria Lin, Daniela Rus, Bryan Kian Hsiang Low, Sewon Min, Wen-tau Yih, Pang Wei Koh, Luke Zettlemoyer
2025	J	`jnl`	SCRIBES: Web-Scale Script-Based Semi-Structured Data Extraction with Reinforcement Learning. CoRR Shicheng Liu, Kai Sun, Lisheng Fu, Xilun Chen, Xinyuan Zhang, Zhaojiang Lin, Rulin Shao, Yue Liu, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
2025	A*	`conf`	SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models. ICML Yung-Sung Chuang, Benjamin Cohen-Wang, Zejiang Shen, Zhaofeng Wu, Hu Xu, Xi Victoria Lin, James R. Glass, Shang-wen Li, Wen-tau Yih
2025	J	`jnl`	SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models. CoRR Yung-Sung Chuang, Benjamin Cohen-Wang, Shannon Zejiang Shen, Zhaofeng Wu, Hu Xu, Xi Victoria Lin, James R. Glass, Shang-wen Li, Wen-tau Yih
2025	J	`jnl`	TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning. CoRR Zhepei Wei, Xiao Yang, Kai Sun, Jiaqi Wang, Rulin Shao, Sean Chen, Mohammad Kachuee, Teja Gollapudi, Tony Liao, Nicolas Scheffer, Rakesh Wanga, Anuj Kumar, Yu Meng, Wen-tau Yih, Xin Luna Dong
2024	A*	`conf`	Altogether: Image Captioning via Re-aligning Alt-text. EMNLP Hu Xu, Po-Yao Huang, Xiaoqing Ellen Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Wen-tau Yih, Shang-wen Li, Saining Xie, Christoph Feichtenhofer
2024	J	`jnl`	Altogether: Image Captioning via Re-aligning Alt-text. CoRR Hu Xu, Po-Yao Huang, Xiaoqing Ellen Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Wen-tau Yih, Shang-wen Li, Saining Xie, Christoph Feichtenhofer
2024	J	`jnl`	Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM. CoRR Sainbayar Sukhbaatar, Olga Golovneva, Vasu Sharma, Hu Xu, Xi Victoria Lin, Baptiste Rozière, Jacob Kahn, Daniel Li, Wen-tau Yih, Jason Weston, Xian Li
2024	J	`jnl`	CRAG - Comprehensive RAG Benchmark. CoRR Xiao Yang, Kai Sun, Hao Xin, Yushi Sun, Nikita Bhalla, Xiangsen Chen, Sajal Choudhary, Rongze Daniel Gui, Ziran Will Jiang, Ziyu Jiang, Lingkun Kong, Brian Moran, Jiaqi Wang, Yifan Ethan Xu, An Yan, Chenyu Yang, Eting Yuan, Hanwen Zha, Nan Tang, Lei Chen, Nicolas Scheffer, Yue Liu, Nirav Shah, Rakesh Wanga, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
2024	J	`jnl`	FLAME: Factuality-Aware Alignment for Large Language Models. CoRR Sheng-Chieh Lin, Luyu Gao, Barlas Oguz, Wenhan Xiong, Jimmy Lin, Wen-tau Yih, Xilun Chen
2024	—	`conf`	Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering. EACL (1) Mingda Chen, Xilun Chen, Wen-tau Yih
2024	J	`jnl`	Improving Factuality with Explicit Working Memory. CoRR Mingda Chen, Yang Li, Karthik Padthe, Rulin Shao, Alicia Sun, Luke Zettlemoyer, Gargi Gosh, Wen-tau Yih
2024	A*	`conf`	In-Context Pretraining: Language Modeling Beyond Document Boundaries. ICLR Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis
2024	—	`conf`	Instruction-tuned Language Models are Better Knowledge Learners. ACL (1) Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodríguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer
2024	J	`jnl`	Instruction-tuned Language Models are Better Knowledge Learners. CoRR Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodriguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srinivasan Iyer
2024	J	`jnl`	KDD Cup CRAG competition: Systems, Findings and Learnings. IEEE Data Eng. Bull. Xiao Yang, Yifan Ethan Xu, Kai Sun, Jiaqi Wang, Lingkun Kong, Wen-tau Yih, Xin Luna Dong
2024	J	`jnl`	Memory Layers at Scale. CoRR Vincent-Pierre Berges, Barlas Oguz, Daniel Haziza, Wen-tau Yih, Luke Zettlemoyer, Gargi Ghosh
2024	J	`jnl`	Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models. CoRR Weixin Liang, Lili Yu, Liang Luo, Srinivasan Iyer, Ning Dong, Chunting Zhou, Gargi Ghosh, Mike Lewis, Wen-tau Yih, Luke Zettlemoyer, Xi Victoria Lin
2024	A*	`conf`	MoDE: CLIP Data Experts via Clustering. CVPR Jiawei Ma, Po-Yao Huang, Saining Xie, Shang-wen Li, Luke Zettlemoyer, Shih-Fu Chang, Wen-tau Yih, Hu Xu
2024	J	`jnl`	MoDE: CLIP Data Experts via Clustering. CoRR Jiawei Ma, Po-Yao Huang, Saining Xie, Shang-wen Li, Luke Zettlemoyer, Shih-Fu Chang, Wen-tau Yih, Hu Xu
2024	J	`jnl`	Nearest Neighbor Speculative Decoding for LLM Generation and Attribution. CoRR Minghan Li, Xilun Chen, Ari Holtzman, Beidi Chen, Jimmy Lin, Wen-tau Yih, Xi Victoria Lin
2024	J	`jnl`	OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs. CoRR Akari Asai, Jacqueline He, Rulin Shao, Weijia Shi, Amanpreet Singh, Joseph Chee Chang, Kyle Lo, Luca Soldaini, Sergey Feldman, Mike D'Arcy, David Wadden, Matt Latzke, Minyang Tian, Pan Ji, Shengyan Liu, Hao Tong, Bohao Wu, Yanyu Xiong, Luke Zettlemoyer, Graham Neubig, Daniel S. Weld, Doug Downey, Wen-tau Yih, Pang Wei Koh, Hannaneh Hajishirzi
2024	A*	`conf`	RA-DIT: Retrieval-Augmented Dual Instruction Tuning. ICLR Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Richard James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
2024	—	`conf`	REPLUG: Retrieval-Augmented Black-Box Language Models. NAACL-HLT Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Richard James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
2024	J	`jnl`	Reliable, Adaptable, and Attributable Language Models with Retrieval. CoRR Akari Asai, Zexuan Zhong, Danqi Chen, Pang Wei Koh, Luke Zettlemoyer, Hannaneh Hajishirzi, Wen-tau Yih
2024	—	`conf`	Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. NAACL (Short Papers) Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Wen-tau Yih
2023	—	`conf`	CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval. ACL (1) Minghan Li, Sheng-Chieh Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen
2023	A*	`conf`	Coder Reviewer Reranking for Code Generation. ICML Tianyi Zhang, Tao Yu, Tatsunori Hashimoto, Mike Lewis, Wen-tau Yih, Daniel Fried, Sida Wang
2023	A*	`conf`	DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. ICML Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Wen-tau Yih, Daniel Fried, Sida I. Wang, Tao Yu
2023	J	`jnl`	Efficient Open Domain Multi-Hop Question Answering with Few-Shot Data Synthesis. CoRR Mingda Chen, Xilun Chen, Wen-tau Yih
2023	—	`conf`	Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering. ACL (Findings) Yung-Sung Chuang, Wei Fang, Shang-wen Li, Wen-tau Yih, James R. Glass
2023	J	`jnl`	Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering. CoRR Yung-Sung Chuang, Wei Fang, Shang-wen Li, Wen-tau Yih, James R. Glass
2023	A*	`conf`	FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. EMNLP Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi
2023	J	`jnl`	FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. CoRR Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi
2023	J	`jnl`	How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval. CoRR Sheng-Chieh Lin, Akari Asai, Minghan Li, Barlas Oguz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen
2023	—	`conf`	How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval. EMNLP (Findings) Sheng-Chieh Lin, Akari Asai, Minghan Li, Barlas Oguz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen
2023	A*	`conf`	LEVER: Learning to Verify Language-to-Code Generation with Execution. ICML Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin
2023	J	`jnl`	LEVER: Learning to Verify Language-to-Code Generation with Execution. CoRR Ansong Ni, Srini Iyer, Dragomir Radev, Ves Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin
2023	J	`jnl`	Large Language Model Programs. CoRR Imanol Schlag, Sainbayar Sukhbaatar, Asli Celikyilmaz, Wen-tau Yih, Jason Weston, Jürgen Schmidhuber, Xian Li
2023	—	`conf`	Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing. ACL (1) Hao Yan, Saurabh Srivastava, Yintao Tai, Sida I. Wang, Wen-tau Yih, Ziyu Yao
2023	J	`jnl`	Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing. CoRR Hao Yan, Saurabh Srivastava, Yintao Tai, Sida I. Wang, Wen-tau Yih, Ziyu Yao
2023	—	`conf`	Nonparametric Masked Language Modeling. ACL (Findings) Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer
2023	—	`conf`	One Embedder, Any Task: Instruction-Finetuned Text Embeddings. ACL (Findings) Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu
2023	J	`jnl`	REPLUG: Retrieval-Augmented Black-Box Language Models. CoRR Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Rich James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
2023	—	`conf`	Reimagining Retrieval Augmented Language Models for Answering Queries. ACL (Findings) Wang-Chiew Tan, Yuliang Li, Pedro Rodriguez, Richard James, Xi Victoria Lin, Alon Y. Halevy, Wen-tau Yih
2023	A*	`conf`	Retrieval-Augmented Multimodal Language Modeling. ICML Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
2023	—	`conf`	RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. EMNLP (Findings) Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer
2023	—	`conf`	Task-aware Retrieval with Instructions. ACL (Findings) Akari Asai, Timo Schick, Patrick Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih
2023	J	`jnl`	VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation. CoRR Xilun Chen, Lili Yu, Wenhan Xiong, Barlas Oguz, Yashar Mehdad, Wen-tau Yih
2022	J	`jnl`	Adapting Pretrained Text-to-Text Models for Long Text Sequences. CoRR Wenhan Xiong, Anchit Gupta, Shubham Toshniwal, Yashar Mehdad, Wen-tau Yih
2022	J	`jnl`	Autoregressive Search Engines: Generating Substrings as Document Identifiers. CoRR Michele Bevilacqua, Giuseppe Ottaviano, Patrick Lewis, Wen-tau Yih, Sebastian Riedel, Fabio Petroni
2022	J	`jnl`	CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval. CoRR Minghan Li, Sheng-Chieh Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen
2022	J	`jnl`	Coder Reviewer Reranking for Code Generation. CoRR Tianyi Zhang, Tao Yu, Tatsunori B. Hashimoto, Mike Lewis, Wen-tau Yih, Daniel Fried, Sida I. Wang
2022	J	`jnl`	DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. CoRR Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-wen Li, Wen-tau Yih, Yoon Kim, James R. Glass
2022	A*	`conf`	Improving Passage Retrieval with Zero-Shot Question Generation. EMNLP Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer
2022	J	`jnl`	Improving Passage Retrieval with Zero-Shot Question Generation. CoRR Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer
2022	J	`jnl`	InCoder: A Generative Model for Code Infilling and Synthesis. CoRR Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Wen-tau Yih, Luke Zettlemoyer, Mike Lewis
2022	J	`jnl`	Nonparametric Masked Language Modeling. CoRR Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer
2022	J	`jnl`	On Continual Model Refinement in Out-of-Distribution Data Streams. CoRR Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Wen-tau Yih
2022	J	`jnl`	One Embedder, Any Task: Instruction-Finetuned Text Embeddings. CoRR Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu
2022	J	`jnl`	Retrieval-Augmented Multimodal Language Modeling. CoRR Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Rich James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
2022	J	`jnl`	RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. CoRR Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer
2022	—	`conf`	Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? EMNLP (Findings) Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih
2022	J	`jnl`	Structured Prompt Tuning. CoRR Chi-Liang Liu, Hung-yi Lee, Wen-tau Yih
2022	J	`jnl`	Task-aware Retrieval with Instructions. CoRR Akari Asai, Timo Schick, Patrick Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih
2021	J	`jnl`	Boosted Dense Retriever. CoRR Patrick Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Wen-tau Yih, Sebastian Riedel
2021	J	`jnl`	CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training. CoRR Patrick Huber, Armen Aghajanyan, Barlas Oguz, Dmytro Okhonko, Wen-tau Yih, Sonal Gupta, Xilun Chen
2021	J	`jnl`	Domain-matched Pre-training Tasks for Dense Retrieval. CoRR Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Wen-tau Yih, Sonal Gupta, Yashar Mehdad
2021	—	`conf`	Joint Verification and Reranking for Open Fact Checking Over Tables. ACL/IJCNLP (1) Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel
2021	—	`conf`	Multi-Task Retrieval for Knowledge-Intensive Tasks. ACL/IJCNLP (1) Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh
2021	J	`jnl`	Multi-task Retrieval for Knowledge-Intensive Tasks. CoRR Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh
2021	J	`jnl`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
2021	—	`conf`	On Unifying Misinformation Detection. NAACL-HLT Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa
2021	J	`jnl`	On Unifying Misinformation Detection. CoRR Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa
2021	—	`conf`	On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study. ACL/IJCNLP (1) Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih
2021	J	`jnl`	On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study. CoRR Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih
2021	—	`conf`	On the Influence of Masking Policies in Intermediate Pre-training. EMNLP (1) Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
2021	J	`jnl`	On the Influence of Masking Policies in Intermediate Pre-training. CoRR Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
2021	—	`conf`	RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. NAACL-HLT Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih
2021	J	`jnl`	Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? CoRR Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih
2021	J	`jnl`	Simple Local Attentions Remain Competitive for Long-Context Tasks. CoRR Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Wen-tau Yih, Yashar Mehdad
2021	J	`jnl`	The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus. CoRR Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Dmytro Okhonko, Samuel Broscheit, Gautier Izacard, Patrick Lewis, Barlas Oguz, Edouard Grave, Wen-tau Yih, Sebastian Riedel
2021	J	`jnl`	UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. CoRR Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Wen-tau Yih, Madian Khabsa
2020	A*	`conf`	Abductive Commonsense Reasoning. ICLR Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi
2020	—	`conf`	An Imitation Game for Learning Semantic Parsers from User Interaction. EMNLP (1) Ziyu Yao, Yiqi Tang, Wen-tau Yih, Huan Sun, Yu Su
2020	J	`jnl`	An Imitation Game for Learning Semantic Parsers from User Interaction. CoRR Ziyu Yao, Yiqi Tang, Wen-tau Yih, Huan Sun, Yu Su
2020	J	`jnl`	Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. CoRR Wenhan Xiong, Xiang Lorraine Li, Srinivasan Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz
2020	—	`conf`	Blockwise Self-Attention for Long Document Understanding. EMNLP (Findings) Jiezhong Qiu, Hao Ma, Omer Levy, Wen-tau Yih, Sinong Wang, Jie Tang
2020	—	`conf`	Dense Passage Retrieval for Open-Domain Question Answering. EMNLP (1) Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih
2020	J	`jnl`	Dense Passage Retrieval for Open-Domain Question Answering. CoRR Vladimir Karpukhin, Barlas Oguz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih
2020	—	`conf`	Efficient One-Pass End-to-End Entity Linking for Questions. EMNLP (1) Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih
2020	J	`jnl`	Efficient One-Pass End-to-End Entity Linking for Questions. CoRR Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih
2020	J	`jnl`	FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation. CoRR Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal, Wen-tau Yih, Yashar Mehdad, Srinivasan Iyer
2020	J	`jnl`	Joint Verification and Reranking for Open Fact Checking Over Tables. CoRR Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel
2020	J	`jnl`	Language Models as Fact Checkers? CoRR Nayeon Lee, Belinda Z. Li, Sinong Wang, Wen-tau Yih, Hao Ma, Madian Khabsa
2020	—	`conf`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
2020	—	`conf`	Open-Domain Question Answering. ACL (tutorial) Danqi Chen, Wen-tau Yih
2020	J	`jnl`	RECONSIDER: Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. CoRR Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih
2020	A*	`conf`	Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. NeurIPS Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela
2020	J	`jnl`	Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. CoRR Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela
2020	J	`jnl`	Studying Strategically: Learning to Mask for Closed-book QA. CoRR Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
2020	A*	`conf`	TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. ACL Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel
2020	J	`jnl`	TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. CoRR Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel
2020	—	`conf`	Unsupervised Question Decomposition for Question Answering. EMNLP (1) Ethan Perez, Patrick Lewis, Wen-tau Yih, Kyunghyun Cho, Douwe Kiela
2020	J	`jnl`	Unsupervised Question Decomposition for Question Answering. CoRR Ethan Perez, Patrick Lewis, Wen-tau Yih, Kyunghyun Cho, Douwe Kiela
2019	—	`conf`	Be Consistent! Improving Procedural Text Comprehension using Label Consistency. NAACL-HLT (1) Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie
2019	J	`jnl`	Be Consistent! Improving Procedural Text Comprehension using Label Consistency. CoRR Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie
2019	—	`conf`	Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text. EMNLP/IJCNLP (1) Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark
2019	J	`jnl`	Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text. CoRR Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark
2019	—	`conf`	FlowQA: Grasping Flow in History for Conversational Machine Comprehension. ICLR (Poster) Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih
2019	—	`conf`	Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study. EMNLP/IJCNLP (1) Ziyu Yao, Yu Su, Huan Sun, Wen-tau Yih
2019	J	`jnl`	Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study. CoRR Ziyu Yao, Yu Su, Huan Sun, Wen-tau Yih
2019	A*	`conf`	QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships. AAAI Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal
2018	A*	`conf`	A Knowledge-Grounded Neural Conversation Model. AAAI Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley
2018	A*	`conf`	Dissecting Contextual Word Embeddings: Architecture and Representation. EMNLP Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, Wen-tau Yih
2018	J	`jnl`	Dissecting Contextual Word Embeddings: Architecture and Representation. CoRR Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, Wen-tau Yih
2018	J	`jnl`	FlowQA: Grasping Flow in History for Conversational Machine Comprehension. CoRR Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih
2018	—	`conf`	Natural Language to Structured Query Generation via Meta-Learning. NAACL-HLT (2) Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He
2018	J	`jnl`	Natural Language to Structured Query Generation via Meta-Learning. CoRR Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He
2018	A*	`conf`	Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. EMNLP Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih
2018	J	`jnl`	Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. CoRR Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih
2018	J	`jnl`	QuAC : Question Answering in Context. CoRR Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer
2018	A*	`conf`	QuAC: Question Answering in Context. EMNLP Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer
2018	J	`jnl`	QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships. CoRR Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal
2018	A*	`conf`	Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. EMNLP Niket Tandon, Bhavana Dalvi, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark
2018	J	`jnl`	Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. CoRR Niket Tandon, Bhavana Dalvi Mishra, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark
2018	J	`jnl`	Tracking State Changes in Procedural Text: A Challenge Dataset and Models for Process Paragraph Comprehension. CoRR Bhavana Dalvi Mishra, Lifu Huang, Niket Tandon, Wen-tau Yih, Peter Clark
2018	—	`conf`	Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension. NAACL-HLT Bhavana Dalvi, Lifu Huang, Niket Tandon, Wen-tau Yih, Peter Clark
2017	J	`jnl`	A Knowledge-Grounded Neural Conversation Model. CoRR Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley
2017	J	`jnl`	Cross-Sentence N-ary Relation Extraction with Graph LSTMs. CoRR Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih
2017	J	`jnl`	Cross-Sentence N-ary Relation Extraction with Graph LSTMs. Trans. Assoc. Comput. Linguistics Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih
2017	A*	`conf`	Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision. EMNLP Haoruo Peng, Ming-Wei Chang, Wen-tau Yih
2017	—	`conf`	NLP for Precision Medicine. ACL (Tutorial Abstracts) Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih
2017	—	`conf`	Search-based Neural Structured Learning for Sequential Question Answering. ACL (1) Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang
2016	J	`jnl`	Answering Complicated Question Intents Expressed in Decomposed Question Sequences. CoRR Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang
2016	J	`jnl`	Basic Reasoning with Tensor Product Representations. CoRR Paul Smolensky, Moontae Lee, Xiaodong He, Wen-tau Yih, Jianfeng Gao, Li Deng
2016	—	`conf`	Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text. ACL (1) Kristina Toutanova, Xi Victoria Lin, Wen-tau Yih, Hoifung Poon, Chris Quirk
2016	A*	`conf`	Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems. EMNLP Shyam Upadhyay, Ming-Wei Chang, Kai-Wei Chang, Wen-tau Yih
2016	—	`conf`	Question Answering with Knowledge Base, Web and Beyond. HLT-NAACL Tutorials Wen-tau Yih, Hao Ma
2016	A*	`conf`	Question Answering with Knowledge Base, Web and Beyond. SIGIR Wen-tau Yih, Hao Ma
2016	A*	`conf`	Reasoning in Vector Space: An Exploratory Study of Question Answering. ICLR (Poster) Moontae Lee, Xiaodong He, Wen-tau Yih, Jianfeng Gao, Li Deng, Paul Smolensky
2016	—	`conf`	Story Cloze Evaluator: Vector Space Representation Evaluation by Predicting What Happens Next. RepEval@ACL Nasrin Mostafazadeh, Lucy Vanderwende, Wen-tau Yih, Pushmeet Kohli, James F. Allen
2016	A*	`conf`	Table Cell Search for Question Answering. WWW Huan Sun, Hao Ma, Xiaodong He, Wen-tau Yih, Yu Su, Xifeng Yan
2016	—	`conf`	The Value of Semantic Parse Labeling for Knowledge Base Question Answering. ACL (2) Wen-tau Yih, Matthew Richardson, Christopher Meek, Ming-Wei Chang, Jina Suh
2015	—	`conf`	Deep Learning and Continuous Representations for Natural Language Processing. HLT-NAACL Wen-tau Yih, Xiaodong He, Jianfeng Gao
2015	—	`conf`	Embedding Entities and Relations for Learning and Inference in Knowledge Bases. ICLR (Poster) Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, Li Deng
2015	A*	`conf`	Open Domain Question Answering via Semantic Enrichment. WWW Huan Sun, Hao Ma, Wen-tau Yih, Chen-Tse Tsai, Jingjing Liu, Ming-Wei Chang
2015	—	`conf`	Questions vs. Queries in Informational Search Tasks. WWW (Companion Volume) Ryen W. White, Matthew Richardson, Wen-tau Yih
2015	—	`conf`	Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base. ACL (1) Wen-tau Yih, Ming-Wei Chang, Xiaodong He, Jianfeng Gao
2015	A*	`conf`	WikiQA: A Challenge Dataset for Open-Domain Question Answering. EMNLP Yi Yang, Wen-tau Yih, Christopher Meek
2014	—	`conf`	Joint semantic utterance classification and slot filling with recursive neural networks. SLT Zhaohan Daniel Guo, Gökhan Tür, Wen-tau Yih, Geoffrey Zweig
2014	—	`conf`	Learning Continuous Phrase Representations for Translation Modeling. ACL (1) Jianfeng Gao, Xiaodong He, Wen-tau Yih, Li Deng
2014	J	`jnl`	Learning Multi-Relational Semantics Using Neural-Embedding Models. CoRR Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, Li Deng
2014	B	`ed.`	Proceedings of the Eighteenth Conference on Computational Natural Language Learning, CoNLL 2014, Baltimore, Maryland, USA, June 26-27, 2014 CoNLL Roser Morante, Wen-tau Yih
2014	—	`conf`	Semantic Parsing for Single-Relation Question Answering. ACL (2) Wen-tau Yih, Xiaodong He, Christopher Meek
2014	A*	`conf`	Typed Tensor Decomposition of Knowledge Bases for Relation Extraction. EMNLP Kai-Wei Chang, Wen-tau Yih, Bishan Yang, Christopher Meek
2013	A*	`conf`	Animacy Detection with Voting Models. EMNLP Joshua L. Moore, Christopher J. C. Burges, Erin Renshaw, Wen-tau Yih
2013	—	`conf`	Combining Heterogeneous Models for Measuring Relational Similarity. HLT-NAACL Alisa Zhila, Wen-tau Yih, Christopher Meek, Geoffrey Zweig, Tomás Mikolov
2013	J	`jnl`	Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction. Trans. Assoc. Comput. Linguistics Ming-Wei Chang, Wen-tau Yih
2013	J	`jnl`	Learning Semantic Representations for the Phrase Translation Model. CoRR Jianfeng Gao, Xiaodong He, Wen-tau Yih, Li Deng
2013	—	`conf`	Linguistic Regularities in Continuous Space Word Representations. HLT-NAACL Tomás Mikolov, Wen-tau Yih, Geoffrey Zweig
2013	A*	`conf`	Multi-Relational Latent Semantic Analysis. EMNLP Kai-Wei Chang, Wen-tau Yih, Christopher Meek
2013	—	`conf`	Question Answering Using Enhanced Lexical Semantic Models. ACL (1) Wen-tau Yih, Ming-Wei Chang, Christopher Meek, Andrzej Pastusiak
2012	—	`conf`	MSR SPLAT, a language analysis toolkit. HLT-NAACL Chris Quirk, Pallavi Choudhury, Jianfeng Gao, Hisami Suzuki, Kristina Toutanova, Michael Gamon, Wen-tau Yih, Colin Cherry, Lucy Vanderwende
2012	—	`conf`	Measuring Word Relatedness Using Heterogeneous Vector Space Models. HLT-NAACL Wen-tau Yih, Vahed Qazvinian
2012	—	`conf`	Polarity Inducing Latent Semantic Analysis. EMNLP-CoNLL Wen-tau Yih, Geoffrey Zweig, John C. Platt
2011	A*	`conf`	Clickthrough-based latent semantic models for web search. SIGIR Jianfeng Gao, Kristina Toutanova, Wen-tau Yih
2011	A*	`conf`	Domain Adaptation with Ensemble of Feature Groups. IJCAI Rajhans Samdani, Wen-tau Yih
2011	B	`conf`	Learning Discriminative Projections for Text Similarity Measures. CoNLL Wen-tau Yih, Kristina Toutanova, John C. Platt, Christopher Meek
2010	A*	`conf`	Adaptive near-duplicate detection via similarity learning. SIGIR Hannaneh Hajishirzi, Wen-tau Yih, Aleksander Kolcz
2010	A*	`conf`	Translingual Document Representations from Discriminative Projections. EMNLP John C. Platt, Kristina Toutanova, Wen-tau Yih
2009	A*	`conf`	Learning Term-weighting Functions for Similarity Measures. EMNLP Wen-tau Yih
2008	—	`conf`	Consistent phrase relevance measures. AdKDD@KDD Wen-tau Yih, Christopher Meek
2008	A*	`conf`	Partitioned logistic regression for spam filtering. KDD Ming-Wei Chang, Wen-tau Yih, Christopher Meek
2008	J	`jnl`	The Importance of Syntactic Parsing and Inference in Semantic Role Labeling. Comput. Linguistics Vasin Punyakanok, Dan Roth, Wen-tau Yih
2007	A*	`conf`	Improving Similarity Measures for Short Segments of Text. AAAI Wen-tau Yih, Christopher Meek
2007	A*	`conf`	Multi-Document Summarization by Maximizing Informative Content-Words. IJCAI Wen-tau Yih, Joshua Goodman, Lucy Vanderwende, Hisami Suzuki
2007	A*	`conf`	Raising the baseline for high-precision text classifiers. KDD Aleksander Kolcz, Wen-tau Yih
2007	—	`conf`	Site-Independent Template-Block Detection. PKDD Aleksander Kolcz, Wen-tau Yih
2006	—	`conf`	Automatic Semantic Role Labeling. HLT-NAACL Wen-tau Yih, Kristina Toutanova
2006	A*	`conf`	Finding advertising keywords on web pages. WWW Wen-tau Yih, Joshua Goodman, Vitor R. Carvalho
2006	A*	`conf`	Improved Discriminative Bilingual Word Alignment. ACL Robert C. Moore, Wen-tau Yih, Andreas Bode
2006	—	`conf`	Learning at Low False Positive Rates. CEAS Wen-tau Yih, Joshua Goodman, Geoff Hulten
2006	—	`conf`	Online Discriminative Spam Filter Training. CEAS Joshua Goodman, Wen-tau Yih
2005	—	`conf`	Demonstrating an Interactive Semantic Role Labeling System. HLT/EMNLP Vasin Punyakanok, Dan Roth, Mark Sammons, Wen-tau Yih
2005	B	`conf`	Generalized Inference with Multiple Semantic Role Labeling Systems. CoNLL Peter Koomen, Vasin Punyakanok, Dan Roth, Wen-tau Yih
2005	A*	`conf`	Integer linear programming inference for conditional random fields. ICML Dan Roth, Wen-tau Yih
2005	—	`—`	Learning and Inference for Information Extraction Wen-tau Yih
2005	A*	`conf`	Learning and Inference over Constrained Output. IJCAI Vasin Punyakanok, Dan Roth, Wen-tau Yih, Dav Zimak
2005	A*	`conf`	The Necessity of Syntactic Parsing for Semantic Role Labeling. IJCAI Vasin Punyakanok, Dan Roth, Wen-tau Yih
2004	B	`conf`	A Linear Programming Formulation for Global Inference in Natural Language Tasks. CoNLL Dan Roth, Wen-tau Yih
2004	—	`conf`	Mining Online Deal Forums for Hot Deals. Web Intelligence Wen-tau Yih, Po-Hao Chang, Wooyoung Kim
2004	B	`conf`	Semantic Role Labeling Via Generalized Inference Over Classifiers. CoNLL Vasin Punyakanok, Dan Roth, Wen-tau Yih, Dav Zimak, Yuancheng Tu
2004	B	`conf`	Semantic Role Labeling Via Integer Linear Programming Inference. COLING Vasin Punyakanok, Dan Roth, Wen-tau Yih, Dav Zimak
2002	B	`conf`	Probabilistic Reasoning for Entity & Relation Recognition. COLING Dan Roth, Wen-tau Yih
2002	—	`conf`	Question-Answering via Enhanced Understanding of Questions. TREC Dan Roth, Chad M. Cumby, Xin Li, Paul Morie, Ramya Nagarajan, Nick Rizzolo, Kevin Small, Wen-tau Yih
2001	—	`conf`	Learning Components for A Question-Answering System. TREC Dan Roth, Gio Kao Kao, Xin Li, Ramya Nagarajan, Vasin Punyakanok, Nick Rizzolo, Wen-tau Yih, Cecilia Ovesdotter Alm, Liam Gerard Moran
2001	A*	`conf`	Relational Learning via Propositional Algorithms: An Information Extraction Case Study. IJCAI Dan Roth, Wen-tau Yih
1997	—	`conf`	Template-Based Information Mining from HTML Documents. AAAI/IAAI Jane Yung-jen Hsu, Wen-tau Yih