Mike Lewis
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
64
Venues
6
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
64 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Byte Latent Transformer: Patches Scale Better Than Tokens. | Artidoro Pagnoni, Ramakanth Pasunuru, Pedro Rodrguez, John Nguyen, Benjamin Muller, Margaret Li, Chunting Zhou, Lili Yu, Jason E. Weston, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Ari Holtzman, Srini Iyer |
| 2025 | ACL | Compute Optimal Scaling of Skills: Knowledge vs Reasoning. | Nicholas Roberts, Niladri S. Chatterji, Sharan Narang, Mike Lewis, Dieuwke Hupkes |
| 2025 | EMNLP | BTS: Harmonizing Specialized Experts into a Generalist LLM. | Qizhen Zhang, Prajjwal Bhargava, Chloe Bi, Chris X. Cai, Jakob Nicolaus Foerster, Jeremy Fu, Punit Singh Koura, Ruan Silva, Sheng Shen, Emily Dinan, Suchin Gururangan, Mike Lewis |
| 2025 | ICLR | Law of the Weakest Link: Cross Capabilities of Large Language Models. | Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten |
| 2024 | ICLR | RA-DIT: Retrieval-Augmented Dual Instruction Tuning. | 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 | ICLR | Self-Alignment with Instruction Backtranslation. | Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Omer Levy, Luke Zettlemoyer, Jason Weston, Mike Lewis |
| 2024 | ICLR | In-Context Pretraining: Language Modeling Beyond Document Boundaries. | Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis |
| 2024 | ICLR | Efficient Streaming Language Models with Attention Sinks. | Guangxuan Xiao, Yuandong Tian, Beidi Chen, Song Han, Mike Lewis |
| 2024 | NAACL | Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. | Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Wen-tau Yih |
| 2024 | NAACL | REPLUG: Retrieval-Augmented Black-Box Language Models. | Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Richard James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih |
| 2024 | NAACL | Effective Long-Context Scaling of Foundation Models. | Wenhan Xiong, Jingyu Liu, Igor Molybog, Hejia Zhang, Prajjwal Bhargava, Rui Hou, Louis Martin, Rashi Rungta, Karthik Abinav Sankararaman, Barlas Oguz, Madian Khabsa, Han Fang, Yashar Mehdad, Sharan Narang, Kshitiz Malik, Angela Fan, Shruti Bhosale, Sergey Edunov, Mike Lewis, Sinong Wang, Hao Ma |
| 2023 | ACL | In-context Examples Selection for Machine Translation. | Sweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, Marjan Ghazvininejad |
| 2023 | ACL | Contrastive Decoding: Open-ended Text Generation as Optimization. | Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis |
| 2023 | ACL | Nonparametric Masked Language Modeling. | Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2023 | ACL | Residual Prompt Tuning: improving prompt tuning with residual reparameterization. | Anastasia Razdaibiedina, Yuning Mao, Madian Khabsa, Mike Lewis, Rui Hou, Jimmy Ba, Amjad Almahairi |
| 2023 | EMNLP | FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. | Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2023 | EMNLP | Measuring and Narrowing the Compositionality Gap in Language Models. | Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A. Smith, Mike Lewis |
| 2023 | EMNLP | AutoReply: Detecting Nonsense in Dialogue with Discriminative Replies. | Weiyan Shi, Emily Dinan, Adi Renduchintala, Daniel Fried, Athul Paul Jacob, Zhou Yu, Mike Lewis |
| 2023 | ICLR | InCoder: A Generative Model for Code Infilling and Synthesis. | Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Scott Yih, Luke Zettlemoyer, Mike Lewis |
| 2023 | ICLR | Progressive Prompts: Continual Learning for Language Models. | Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Amjad Almahairi |
| 2023 | ICML | Retrieval-Augmented Multimodal Language Modeling. | Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-Tau Yih |
| 2023 | ICML | Coder Reviewer Reranking for Code Generation. | Tianyi Zhang, Tao Yu, Tatsunori Hashimoto, Mike Lewis, Wen-Tau Yih, Daniel Fried, Sida Wang |
| 2022 | ACL | Question Answering Infused Pre-training of General-Purpose Contextualized Representations. | Robin Jia, Mike Lewis, Luke Zettlemoyer |
| 2022 | ACL | Noisy Channel Language Model Prompting for Few-Shot Text Classification. | Sewon Min, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2022 | EMNLP | Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? | Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2022 | EMNLP | Improving Passage Retrieval with Zero-Shot Question Generation. | Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer |
| 2022 | ICLR | HTLM: Hyper-Text Pre-Training and Prompting of Language Models. | Armen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu, Gargi Ghosh, Luke Zettlemoyer |
| 2022 | ICLR | 8-bit Optimizers via Block-wise Quantization. | Tim Dettmers, Mike Lewis, Sam Shleifer, Luke Zettlemoyer |
| 2022 | ICLR | Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation. | Ofir Press, Noah A. Smith, Mike Lewis |
| 2022 | NAACL | Tricks for Training Sparse Translation Models. | Dheeru Dua, Shruti Bhosale, Vedanuj Goswami, James Cross, Mike Lewis, Angela Fan |
| 2022 | NAACL | DEMix Layers: Disentangling Domains for Modular Language Modeling. | Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, Luke Zettlemoyer |
| 2022 | NAACL | MetaICL: Learning to Learn In Context. | Sewon Min, Mike Lewis, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2022 | NAACL | Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models. | Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech |
| 2021 | ACL | Shortformer: Better Language Modeling using Shorter Inputs. | Ofir Press, Noah A. Smith, Mike Lewis |
| 2021 | ACL | Joint Verification and Reranking for Open Fact Checking Over Tables. | Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel |
| 2021 | ICLR | Nearest Neighbor Machine Translation. | Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis |
| 2021 | ICML | BASE Layers: Simplifying Training of Large, Sparse Models. | Mike Lewis, Shruti Bhosale, Tim Dettmers, Naman Goyal, Luke Zettlemoyer |
| 2021 | NAACL | Multitasking Inhibits Semantic Drift. | Athul Paul Jacob, Mike Lewis, Jacob Andreas |
| 2020 | ACL | BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. | Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, Luke Zettlemoyer |
| 2020 | ACL | Asking and Answering Questions to Evaluate the Factual Consistency of Summaries. | Alex Wang, Kyunghyun Cho, Mike Lewis |
| 2020 | EMNLP | Conversational Semantic Parsing. | Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Michael Haeger, Haoran Li, Yashar Mehdad, Veselin Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta |
| 2020 | EMNLP | Grounded Adaptation for Zero-shot Executable Semantic Parsing. | Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer |
| 2020 | ICLR | Generalization through Memorization: Nearest Neighbor Language Models. | Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis |
| 2019 | ACL | Strategies for Structuring Story Generation. | Angela Fan, Mike Lewis, Yann N. Dauphin |
| 2019 | EMNLP | Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog. | Panupong Pasupat, Sonal Gupta, Karishma Mandyam, Rushin Shah, Mike Lewis, Luke Zettlemoyer |
| 2019 | ICLR | Generative Question Answering: Learning to Answer the Whole Question. | Mike Lewis, Angela Fan |
| 2019 | NAACL | Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog. | Sebastian Schuster, Sonal Gupta, Rushin Shah, Mike Lewis |
| 2018 | ACL | Hierarchical Neural Story Generation. | Angela Fan, Mike Lewis, Yann N. Dauphin |
| 2018 | EMNLP | A Dataset for Telling the Stories of Social Media Videos. | Spandana Gella, Mike Lewis, Marcus Rohrbach |
| 2018 | EMNLP | Neural Compositional Denotational Semantics for Question Answering. | Nitish Gupta, Mike Lewis |
| 2018 | EMNLP | Semantic Parsing for Task Oriented Dialog using Hierarchical Representations. | Sonal Gupta, Rushin Shah, Mrinal Mohit, Anuj Kumar, Mike Lewis |
| 2018 | ICML | Hierarchical Text Generation and Planning for Strategic Dialogue. | Denis Yarats, Mike Lewis |
| 2017 | ACL | Deep Semantic Role Labeling: What Works and What's Next. | Luheng He, Kenton Lee, Mike Lewis, Luke Zettlemoyer |
| 2017 | ACL | A Corpus of Natural Language for Visual Reasoning. | Alane Suhr, Mike Lewis, James Yeh, Yoav Artzi |
| 2017 | EMNLP | End-to-end Neural Coreference Resolution. | Kenton Lee, Luheng He, Mike Lewis, Luke Zettlemoyer |
| 2017 | EMNLP | Deal or No Deal? End-to-End Learning of Negotiation Dialogues. | Mike Lewis, Denis Yarats, Yann N. Dauphin, Devi Parikh, Dhruv Batra |
| 2016 | EMNLP | Human-in-the-Loop Parsing. | Luheng He, Julian Michael, Mike Lewis, Luke Zettlemoyer |
| 2016 | EMNLP | Global Neural CCG Parsing with Optimality Guarantees. | Kenton Lee, Mike Lewis, Luke Zettlemoyer |
| 2016 | NAACL | LSTM CCG Parsing. | Mike Lewis, Kenton Lee, Luke Zettlemoyer |
| 2015 | EMNLP | Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language. | Luheng He, Mike Lewis, Luke Zettlemoyer |
| 2015 | EMNLP | Joint A* CCG Parsing and Semantic Role Labelling. | Mike Lewis, Luheng He, Luke Zettlemoyer |
| 2014 | EMNLP | A* CCG Parsing with a Supertag-factored Model. | Mike Lewis, Mark Steedman |
| 2014 | ICRA | Extracting common sense knowledge from text for robot planning. | Peter Kaiser, Mike Lewis, Ronald P. A. Petrick, Tamim Asfour, Mark Steedman |
| 2013 | EMNLP | Unsupervised Induction of Cross-Lingual Semantic Relations. | Mike Lewis, Mark Steedman |