M. Lewis

发表

RoBERTa: A Robustly Optimized BERT Pretraining Approach pdf

Omer Levy, Danqi Chen, Veselin Stoyanov, 2019, ArXiv.

Hierarchical Neural Story Generation pdf

Yann Dauphin, Mike Lewis, Angela Fan, 2018, ACL.

Strategies for Structuring Story Generation

Yann Dauphin, Mike Lewis, Angela Fan, 2019, ACL.

End-to-end Neural Coreference Resolution pdf

Luke S. Zettlemoyer, Kenton Lee, Luheng He, 2017, EMNLP.

LSTM CCG Parsing

Luke S. Zettlemoyer, Kenton Lee, Mike Lewis, 2016, NAACL.

Deal or No Deal? End-to-End Learning of Negotiation Dialogues pdf

Yann Dauphin, Dhruv Batra, Mike Lewis, 2017, EMNLP.

Proceedings of the ACL 2014 Workshop on Semantic Parsing

Mark Steedman, Mike Lewis, M. Lewis, 2014 .

Extracting common sense knowledge from text for robot planning

Mark Steedman, Tamim Asfour, Ronald P. A. Petrick, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Deep Semantic Role Labeling: What Works and What’s Next

Luke S. Zettlemoyer, Kenton Lee, Luheng He, 2017, ACL.

MetaICL: Learning to Learn In Context

M. Lewis, Luke Zettlemoyer, Hannaneh Hajishirzi, 2021, NAACL.

Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Noah A. Smith, Noah A. Smith, M. Lewis, 2021, ICLR.

Evaluating Visual Reasoning through Grounded Language Understanding

Yoav Artzi, Mike Lewis, Alane Suhr, 2018, AI Mag..

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks pdf

Fabio Petroni, Wen-tau Yih, Douwe Kiela, 2020, NeurIPS.

Improving Passage Retrieval with Zero-Shot Question Generation

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

Few-shot Mining of Naturally Occurring Inputs and Outputs

Daniel S. Weld, M. Lewis, Luke Zettlemoyer, 2022, ArXiv.

8-bit Optimizers via Block-wise Quantization

M. Lewis, Luke Zettlemoyer, Sam Shleifer, 2021, ICLR.

Questions Are All You Need to Train a Dense Passage Retriever

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

Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models

M. Lewis, Xiang Ren, Aaron Jaech, 2021, NAACL.

Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models

Noah A. Smith, Noah A. Smith, M. Lewis, 2022, ArXiv.

Generalization through Memorization: Nearest Neighbor Language Models

Omer Levy, M. Lewis, Luke Zettlemoyer, 2019, ICLR.

LegoNN: Building Modular Encoder-Decoder Models

M. Lewis, Luke Zettlemoyer, Abdel-rahman Mohamed, 2022, ArXiv.

Generative Question Answering: Learning to Answer the Whole Question

Mike Lewis, Angela Fan, M. Lewis, 2018, ICLR.

Measuring and Narrowing the Compositionality Gap in Language Models

Noah A. Smith, M. Lewis, Ofir Press, 2022, ArXiv.

Questions Are All You Need to Train a Dense Passage Retriever

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

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

M. Lewis, Luke Zettlemoyer, Tim Dettmers, 2022, ArXiv.

Retrieval-Augmented Multimodal Language Modeling

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

AutoReply: Detecting Nonsense in Dialogue Introspectively with Discriminative Replies

Athul Paul Jacob, M. Lewis, Daniel Fried, 2022, ArXiv.

Nonparametric Masked Language Modeling

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

In-context Examples Selection for Machine Translation

M. Lewis, Luke Zettlemoyer, Marjan Ghazvininejad, 2022, ACL.

Coder Reviewer Reranking for Code Generation

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

Generalization through Memorization: Nearest Neighbor Language Models

Omer Levy, M. Lewis, Luke Zettlemoyer, 2019, International Conference on Learning Representations.

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension pdf

Omer Levy, Mike Lewis, Marjan Ghazvininejad, 2019, ACL.

Pre-training via Paraphrasing pdf

Armen Aghajanyan, Sida I. Wang, Marjan Ghazvininejad, 2020, NeurIPS.

REPLUG: Retrieval-Augmented Black-Box Language Models

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

Questions Are All You Need to Train a Dense Passage Retriever

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

Improving Passage Retrieval with Zero-Shot Question Generation

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

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks pdf

Fabio Petroni, Wen-tau Yih, Douwe Kiela, 2020, NeurIPS.

Shortformer: Better Language Modeling using Shorter Inputs pdf

Noah A. Smith, Mike Lewis, Noah A. Smith, 2021, ACL.

Multilingual Denoising Pre-training for Neural Machine Translation

Marjan Ghazvininejad, Luke Zettlemoyer, Sergey Edunov, 2020, Transactions of the Association for Computational Linguistics.

Tricks for Training Sparse Translation Models pdf

Mike Lewis, Vedanuj Goswami, Angela Fan, 2021, NAACL.

BASE Layers: Simplifying Training of Large, Sparse Models

Naman Goyal, M. Lewis, Luke Zettlemoyer, 2021, ICML.

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

M. Lewis, Luke Zettlemoyer, Ari Holtzman, 2022, Conference on Empirical Methods in Natural Language Processing.

Asking and Answering Questions to Evaluate the Factual Consistency of Summaries

Alex Wang, Kyunghyun Cho, Mike Lewis, 2020, ACL.

Hierarchical Decision Making by Generating and Following Natural Language Instructions

Yuandong Tian, Mike Lewis, Denis Yarats, 2019, NeurIPS.

CM3: A Causal Masked Multimodal Model of the Internet pdf

Dmytro Okhonko, Armen Aghajanyan, Mike Lewis, 2022, ArXiv.

A Corpus of Natural Language for Visual Reasoning

Yoav Artzi, Mike Lewis, Alane Suhr, 2017, ACL.

InCoder: A Generative Model for Code Infilling and Synthesis

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

HTLM: Hyper-Text Pre-Training and Prompting of Language Models pdf

Dmytro Okhonko, Armen Aghajanyan, Mike Lewis, 2021, ICLR.

Nearest Neighbor Machine Translation pdf

Mike Lewis, Dan Jurafsky, Urvashi Khandelwal, 2020, ICLR.

Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog pdf

Sebastian Schuster, Sonal Gupta, Mike Lewis, 2018, NAACL.

Hierarchical Text Generation and Planning for Strategic Dialogue

Mike Lewis, Denis Yarats, M. Lewis, 2017, ICML.

Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language

Luke S. Zettlemoyer, Luheng He, Mike Lewis, 2015, EMNLP.

MelNet: A Generative Model for Audio in the Frequency Domain pdf

Mike Lewis, Sean Vasquez, M. Lewis, 2019, ArXiv.

REPLUG: Retrieval-Augmented Black-Box Language Models

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

Measuring and Narrowing the Compositionality Gap in Language Models

Noah A. Smith, M. Lewis, Ofir Press, 2022, ArXiv.

LIMA: Less Is More for Alignment

Omer Levy, M. Lewis, Luke Zettlemoyer, 2023, NeurIPS.

Joint Verification and Reranking for Open Fact Checking Over Tables

Wen-tau Yih, Mike Lewis, Sebastian Riedel, 2020, ACL.

Grounded Adaptation for Zero-shot Executable Semantic Parsing

Sida I. Wang, M. Lewis, Luke Zettlemoyer, 2020, EMNLP.

Improving Passage Retrieval with Zero-Shot Question Generation

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

Community Regularization of Visually-Grounded Dialog

Katia Sycara, Mike Lewis, Swaminathan Gurumurthy, 2018, AAMAS.

Questions Are All You Need to Train a Dense Passage Retriever

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

Question Answering Infused Pre-training of General-Purpose Contextualized Representations

M. Lewis, Luke Zettlemoyer, Robin Jia, 2021, FINDINGS.

Trusting Your Evidence: Hallucinate Less with Context-aware Decoding

Luke Zettlemoyer, Yulia Tsvetkov, M. Lewis, 2023, NAACL.

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

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

MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers

M. Lewis, Luke Zettlemoyer, L. Yu, 2023, NeurIPS.

Improving Chess Commentaries by Combining Language Models with Symbolic Reasoning Engines

M. Lewis, Emily Dinan, Andrew Lee, 2022, ArXiv.

Scaling Expert Language Models with Unsupervised Domain Discovery

Noah A. Smith, M. Lewis, Luke Zettlemoyer, 2023, ArXiv.

Semantic Parsing for Task Oriented Dialog using Hierarchical Representations

Sonal Gupta, Mike Lewis, Anuj Kumar, 2018, EMNLP.

Neural Compositional Denotational Semantics for Question Answering

Nitish Gupta, Mike Lewis, M. Lewis, 2018, EMNLP.

A Dataset for Telling the Stories of Social Media Videos

Marcus Rohrbach, Mike Lewis, Spandana Gella, 2018, EMNLP.

Contrastive Decoding: Open-ended Text Generation as Optimization

Xiang Lisa Li, M. Lewis, Luke Zettlemoyer, 2022, ArXiv.

Retrieval-Augmented Multimodal Language Modeling

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

Conversational Semantic Parsing pdf

Haoran Li, Armen Aghajanyan, Anuj Kumar, 2020, EMNLP.

High-speed optical links for UAV applications

B. Smith, Chien-Chung Chen, Andrew T. Grier, 2017, LASE.

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.

Joint A* CCG Parsing and Semantic Role Labelling

Luke S. Zettlemoyer, Luheng He, Mike Lewis, 2015, EMNLP.

Contrastive Decoding: Open-ended Text Generation as Optimization

Xiang Lisa Li, M. Lewis, Luke Zettlemoyer, 2022, ACL.

Progressive Prompts: Continual Learning for Language Models

M. Lewis, Amjad Almahairi, Madian Khabsa, 2023, ICLR.

Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization

M. Lewis, Jimmy Ba, Amjad Almahairi, 2023, ArXiv.

Multitasking Inhibits Semantic Drift pdf

Jacob Andreas, Mike Lewis, Athul Paul Jacob, 2021, NAACL.

Improving Semantic Parsing for Task Oriented Dialog pdf

Luke S. Zettlemoyer, Arash Einolghozati, Sonal Gupta, 2019, ArXiv.

A* CCG Parsing with a Supertag-factored Model

Mark Steedman, Mike Lewis, M. Lewis, 2014, EMNLP.

Improved CCG Parsing with Semi-supervised Supertagging

Mark Steedman, Mike Lewis, M. Lewis, 2014, TACL.

Combined Distributional and Logical Semantics

Mark Steedman, Mike Lewis, M. Lewis, 2013, TACL.

Grounded spatial symbols for task planning based on experience

Mark Steedman, Tamim Asfour, Peter Kaiser, 2013, 2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids).

Measuring and Narrowing the Compositionality Gap in Language Models

Noah A. Smith, Noah A. Smith, M. Lewis, 2022, EMNLP.

Grounded Adaptation for Zero-shot Executable Semantic Parsing

Sida I. Wang, Luke Zettlemoyer, Victor Zhong, 2020, EMNLP.

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

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

Contrastive Decoding: Open-ended Text Generation as Optimization

Xiang Lisa Li, M. Lewis, Luke Zettlemoyer, 2022, ACL.

Global Neural CCG Parsing with Optimality Guarantees

Luke S. Zettlemoyer, Kenton Lee, Mike Lewis, 2016, EMNLP.

Unsupervised Induction of Cross-Lingual Semantic Relations

Mark Steedman, Mike Lewis, M. Lewis, 2013, EMNLP.