Wen-tau Yih

发表

Improving Passage Retrieval with Zero-Shot Question Generation

Devendra Singh Sachan, M. Lewis, Luke Zettlemoyer, 2022, ArXiv.

CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training

Xilun Chen, Barlas Oğuz, Dmytro Okhonko, 2021, NAACL-HLT.

On Continual Model Refinement in Out-of-Distribution Data Streams

Sida I. Wang, Bill Yuchen Lin, Xi Victoria Lin, 2022, ACL.

On the Influence of Masking Policies in Intermediate Pre-training

Madian Khabsa, Xiang Ren, Benjamin Bolte, 2021, EMNLP.

Adapting Pretrained Text-to-Text Models for Long Text Sequences

Anchit Gupta, Wenhan Xiong, Shubham Toshniwal, 2022, ArXiv.

The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus

Edouard Grave, Fabio Petroni, Aleksandra Piktus, 2021, ArXiv.

CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval

Jimmy J. Lin, Xilun Chen, Xilun Chen, 2022, ACL.

Task-aware Retrieval with Instructions

Hannaneh Hajishirzi, Xilun Chen, Patrick Lewis, 2022, 2211.09260.

Retrieval-Augmented Multimodal Language Modeling

M. Lewis, Luke Zettlemoyer, J. Leskovec, 2022, ArXiv.

Nonparametric Masked Language Modeling

M. Lewis, Luke Zettlemoyer, Sewon Min, 2022, Annual Meeting of the Association for Computational Linguistics.

Coder Reviewer Reranking for Code Generation

Sida I. Wang, M. Lewis, Daniel Fried, 2022, ICML.

One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Noah A. Smith, Luke Zettlemoyer, Mari Ostendorf, 2022, ArXiv.

Adapting Pretrained Text-to-Text Models for Long Text Sequences

Anchit Gupta, Wenhan Xiong, Shubham Toshniwal, 2022, EMNLP.

REPLUG: Retrieval-Augmented Black-Box Language Models

M. Lewis, Luke Zettlemoyer, Minjoon Seo, 2023, ArXiv.

Task-aware Retrieval with Instructions

Hannaneh Hajishirzi, Xilun Chen, Patrick Lewis, 2022, ACL.

Improving Passage Retrieval with Zero-Shot Question Generation

Devendra Singh Sachan, M. Lewis, Luke Zettlemoyer, 2022, EMNLP.

Boosted Dense Retriever pdf

Wenhan Xiong, Fabio Petroni, Sebastian Riedel, 2021, NAACL.

On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study

Douwe Kiela, Zachary C. Lipton, Zachary Chase Lipton, 2021, ACL.

InCoder: A Generative Model for Code Infilling and Synthesis

Sida I. Wang, M. Lewis, Luke Zettlemoyer, 2022, ICLR.

Structured Prompt Tuning

Hung-yi Lee, Wen-tau Yih, Chi-Liang Liu, 2022, ArXiv.

VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation

Xilun Chen, L. Yu, Wenhan Xiong, 2023, ArXiv.

REPLUG: Retrieval-Augmented Black-Box Language Models

M. Lewis, Luke Zettlemoyer, Minjoon Seo, 2023, ArXiv.

UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning

Amjad Almahairi, Madian Khabsa, Yuning Mao, 2021, ACL.

Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing

Sida I. Wang, Ziyu Yao, Wen-tau Yih, 2023, arXiv.org.

LEVER: Learning to Verify Language-to-Code Generation with Execution

Dragomir R. Radev, Sida I. Wang, Xi Victoria Lin, 2023, ArXiv.

How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval

Xilun Chen, Sheng-Chieh Lin, Barlas Oğuz, 2023, ArXiv.

Improving Passage Retrieval with Zero-Shot Question Generation

Devendra Singh Sachan, M. Lewis, Luke Zettlemoyer, 2022, EMNLP.

Large Language Model Programs

J. Schmidhuber, J. Weston, Sainbayar Sukhbaatar, 2023, ArXiv.

Simple Local Attentions Remain Competitive for Long-Context Tasks

Omer Levy, Xilun Chen, Anchit Gupta, 2021, NAACL.

RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering

Yashar Mehdad, Srinivasan Iyer, Sewon Min, 2021, NAACL.

On Unifying Misinformation Detection

Madian Khabsa, Pascale Fung, Sinong Wang, 2021, North American Chapter of the Association for Computational Linguistics.

RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering

Luke Zettlemoyer, Victor Zhong, Weijia Shi, 2022, ArXiv.

Retrieval-Augmented Multimodal Language Modeling

M. Lewis, Luke Zettlemoyer, J. Leskovec, 2023, ICML.

Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing

Sida I. Wang, Ziyu Yao, Wen-tau Yih, 2023, ACL.

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Pang Wei Koh, Hannaneh Hajishirzi, M. Lewis, 2023, ArXiv.

Efficient Open Domain Multi-Hop Question Answering with Few-Shot Data Synthesis

Xilun Chen, Xilun Chen, Mingda Chen, 2023, ArXiv.

REPLUG: Retrieval-Augmented Black-Box Language Models

M. Lewis, Luke Zettlemoyer, Minjoon Seo, 2023, NAACL.

Nonparametric Masked Language Modeling

M. Lewis, Luke Zettlemoyer, Hannaneh Hajishirzi, 2022, ACL.

One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Noah A. Smith, Noah A. Smith, Luke Zettlemoyer, 2022, ACL.

Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering

James R. Glass, Shang-Wen Li, Yung-Sung Chuang, 2023, ACL.

LEVER: Learning to Verify Language-to-Code Generation with Execution

Dragomir R. Radev, Sida I. Wang, Xi Victoria Lin, 2023, ICML.

FlowQA: Grasping Flow in History for Conversational Machine Comprehension

Eunsol Choi, Wen-tau Yih, Hsin-Yuan Huang, 2018, ICLR.

LEVER: Learning to Verify Language-to-Code Generation with Execution

Dragomir R. Radev, Sida I. Wang, Xi Victoria Lin, 2023, ICML.

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Pang Wei Koh, M. Lewis, Luke Zettlemoyer, 2023, EMNLP.

UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning

Amjad Almahairi, Madian Khabsa, Yuning Mao, 2021, ACL.

Instruction-tuned Language Models are Better Knowledge Learners

Zhengbao Jiang, Chunting Zhou, Wen-tau Yih, 2024, 2402.12847.

Reliable, Adaptable, and Attributable Language Models with Retrieval

Danqi Chen, Akari Asai, Zexuan Zhong, 2024, ArXiv.

Nearest Neighbor Speculative Decoding for LLM Generation and Attribution

Minghan Li, Wen-tau Yih, Jimmy Lin, 2024, ArXiv.