Mike Lewis - RankMe

161 papers A* 40A 1Journal 87Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Empirical Study on Noisy Data and LLM Pretraining Loss Divergence. CoRR Qizhen Zhang, Ankush Garg, Jakob N. Foerster, Niladri S. Chatterji, Kshitiz Malik, Mike Lewis
2026	J	`jnl`	Beyond Language Modeling: An Exploration of Multimodal Pretraining. CoRR Shengbang Tong, David Fan, John Nguyen, Ellis Brown, Gaoyue Zhou, Shengyi Qian, Boyang Zheng, Théophane Vallaeys, Junlin Han, Rob Fergus, Naila Murray, Marjan Ghazvininejad, Mike Lewis, Nicolas Ballas, Amir Bar, Michael Rabbat, Jakob Verbeek, Luke Zettlemoyer, Koustuv Sinha, Yann LeCun, Saining Xie
2025	A*	`conf`	BTS: Harmonizing Specialized Experts into a Generalist LLM. EMNLP 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	J	`jnl`	BTS: Harmonizing Specialized Experts into a Generalist LLM. CoRR Qizhen Zhang, Prajjwal Bhargava, Chloe Bi, Chris X. Cai, Jakob N. Foerster, Jeremy Fu, Punit Singh Koura, Ruan Silva, Sheng Shen, Emily Dinan, Suchin Gururangan, Mike Lewis
2025	—	`conf`	Byte Latent Transformer: Patches Scale Better Than Tokens. ACL (1) Artidoro Pagnoni, Ramakanth Pasunuru, Pedro Rodríguez, John Nguyen, Benjamin Muller, Margaret Li, Chunting Zhou, Lili Yu, Jason E. Weston, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Ari Holtzman, Srini Iyer
2025	—	`conf`	Compute Optimal Scaling of Skills: Knowledge vs Reasoning. ACL (Findings) Nicholas Roberts, Niladri S. Chatterji, Sharan Narang, Mike Lewis, Dieuwke Hupkes
2025	J	`jnl`	Compute Optimal Scaling of Skills: Knowledge vs Reasoning. CoRR Nicholas Roberts, Niladri S. Chatterji, Sharan Narang, Mike Lewis, Dieuwke Hupkes
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`	Latent Speech-Text Transformer. CoRR Yen-Ju Lu, Yashesh Gaur, Wei Zhou, Benjamin Muller, Jesús Villalba, Najim Dehak, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Srinivasan Iyer, Duc Le
2025	A*	`conf`	Law of the Weakest Link: Cross Capabilities of Large Language Models. ICLR 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
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	J	`jnl`	Optimizing Pretraining Data Mixtures with LLM-Estimated Utility. CoRR William Barr Held, Bhargavi Paranjape, Punit Singh Koura, Mike Lewis, Frank Zhang, Todor Mihaylov
2024	J	`jnl`	Byte Latent Transformer: Patches Scale Better Than Tokens. CoRR Artidoro Pagnoni, Ram Pasunuru, Pedro Rodríguez, John Nguyen, Benjamin Muller, Margaret Li, Chunting Zhou, Lili Yu, Jason Weston, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Ari Holtzman, Srinivasan Iyer
2024	—	`conf`	Effective Long-Context Scaling of Foundation Models. NAACL-HLT 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
2024	A*	`conf`	Efficient Streaming Language Models with Attention Sinks. ICLR Guangxuan Xiao, Yuandong Tian, Beidi Chen, Song Han, Mike Lewis
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	J	`jnl`	Law of the Weakest Link: Cross Capabilities of Large Language Models. CoRR 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	J	`jnl`	Lory: Fully Differentiable Mixture-of-Experts for Autoregressive Language Model Pre-training. CoRR Zexuan Zhong, Mengzhou Xia, Danqi Chen, Mike Lewis
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	J	`jnl`	MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts. CoRR Xi Victoria Lin, Akshat Shrivastava, Liang Luo, Srinivasan Iyer, Mike Lewis, Gargi Ghosh, Luke Zettlemoyer, Armen Aghajanyan
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	A*	`conf`	Self-Alignment with Instruction Backtranslation. ICLR Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Omer Levy, Luke Zettlemoyer, Jason Weston, Mike Lewis
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`	AutoReply: Detecting Nonsense in Dialogue with Discriminative Replies. EMNLP (Findings) Weiyan Shi, Emily Dinan, Adi Renduchintala, Daniel Fried, Athul Paul Jacob, Zhou Yu, Mike Lewis
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	J	`jnl`	Contrastive Decoding Improves Reasoning in Large Language Models. CoRR Sean O'Brien, Mike Lewis
2023	—	`conf`	Contrastive Decoding: Open-ended Text Generation as Optimization. ACL (1) Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis
2023	J	`jnl`	Effective Long-Context Scaling of Foundation Models. CoRR 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	J	`jnl`	Efficient Streaming Language Models with Attention Sinks. CoRR Guangxuan Xiao, Yuandong Tian, Beidi Chen, Song Han, Mike Lewis
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`	In-Context Pretraining: Language Modeling Beyond Document Boundaries. CoRR Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Scott Yih, Mike Lewis
2023	—	`conf`	In-context Examples Selection for Machine Translation. ACL (Findings) Sweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, Marjan Ghazvininejad
2023	A*	`conf`	InCoder: A Generative Model for Code Infilling and Synthesis. ICLR Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Scott Yih, Luke Zettlemoyer, Mike Lewis
2023	A*	`conf`	LIMA: Less Is More for Alignment. NeurIPS Chunting Zhou, Pengfei Liu, Puxin Xu, Srinivasan Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy
2023	J	`jnl`	LIMA: Less Is More for Alignment. CoRR Chunting Zhou, Pengfei Liu, Puxin Xu, Srini Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy
2023	J	`jnl`	LegoNN: Building Modular Encoder-Decoder Models. IEEE ACM Trans. Audio Speech Lang. Process. Siddharth Dalmia, Dmytro Okhonko, Mike Lewis, Sergey Edunov, Shinji Watanabe, Florian Metze, Luke Zettlemoyer, Abdelrahman Mohamed
2023	A*	`conf`	MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers. NeurIPS Lili Yu, Daniel Simig, Colin Flaherty, Armen Aghajanyan, Luke Zettlemoyer, Mike Lewis
2023	J	`jnl`	MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers. CoRR Lili Yu, Daniel Simig, Colin Flaherty, Armen Aghajanyan, Luke Zettlemoyer, Mike Lewis
2023	—	`conf`	Measuring and Narrowing the Compositionality Gap in Language Models. EMNLP (Findings) Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A. Smith, Mike Lewis
2023	—	`conf`	Nonparametric Masked Language Modeling. ACL (Findings) Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer
2023	A*	`conf`	Progressive Prompts: Continual Learning for Language Models. ICLR Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Amjad Almahairi
2023	J	`jnl`	Progressive Prompts: Continual Learning for Language Models. CoRR Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Amjad Almahairi
2023	J	`jnl`	Questions Are All You Need to Train a Dense Passage Retriever. Trans. Assoc. Comput. Linguistics Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer
2023	J	`jnl`	RA-DIT: Retrieval-Augmented Dual Instruction Tuning. CoRR Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Rich James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Scott Yih
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	J	`jnl`	Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization. CoRR Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Jimmy Ba, Amjad Almahairi
2023	—	`conf`	Residual Prompt Tuning: improving prompt tuning with residual reparameterization. ACL (Findings) Anastasia Razdaibiedina, Yuning Mao, Madian Khabsa, Mike Lewis, Rui Hou, Jimmy Ba, Amjad Almahairi
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	J	`jnl`	Scaling Expert Language Models with Unsupervised Domain Discovery. CoRR Suchin Gururangan, Margaret Li, Mike Lewis, Weijia Shi, Tim Althoff, Noah A. Smith, Luke Zettlemoyer
2023	J	`jnl`	Self-Alignment with Instruction Backtranslation. CoRR Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Luke Zettlemoyer, Omer Levy, Jason Weston, Mike Lewis
2023	J	`jnl`	Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. CoRR Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Scott Wen-tau Yih
2022	A*	`conf`	8-bit Optimizers via Block-wise Quantization. ICLR Tim Dettmers, Mike Lewis, Sam Shleifer, Luke Zettlemoyer
2022	J	`jnl`	AutoReply: Detecting Nonsense in Dialogue Introspectively with Discriminative Replies. CoRR Weiyan Shi, Emily Dinan, Adi Renduchintala, Daniel Fried, Athul Paul Jacob, Zhou Yu, Mike Lewis
2022	J	`jnl`	Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models. CoRR Margaret Li, Suchin Gururangan, Tim Dettmers, Mike Lewis, Tim Althoff, Noah A. Smith, Luke Zettlemoyer
2022	J	`jnl`	CM3: A Causal Masked Multimodal Model of the Internet. CoRR Armen Aghajanyan, Bernie Huang, Candace Ross, Vladimir Karpukhin, Hu Xu, Naman Goyal, Dmytro Okhonko, Mandar Joshi, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer
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`	Contrastive Decoding: Open-ended Text Generation as Optimization. CoRR Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis
2022	—	`conf`	DEMix Layers: Disentangling Domains for Modular Language Modeling. NAACL-HLT Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, Luke Zettlemoyer
2022	J	`jnl`	Few-shot Mining of Naturally Occurring Inputs and Outputs. CoRR Mandar Joshi, Terra Blevins, Mike Lewis, Daniel S. Weld, Luke Zettlemoyer
2022	A*	`conf`	GPT3.int8(): 8-bit Matrix Multiplication for Transformers at Scale. NeurIPS Tim Dettmers, Mike Lewis, Younes Belkada, Luke Zettlemoyer
2022	A*	`conf`	HTLM: Hyper-Text Pre-Training and Prompting of Language Models. ICLR Armen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu, Gargi Ghosh, Luke Zettlemoyer
2022	J	`jnl`	Improving Chess Commentaries by Combining Language Models with Symbolic Reasoning Engines. CoRR Andrew Lee, David Wu, Emily Dinan, Mike Lewis
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`	In-context Examples Selection for Machine Translation. CoRR Sweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, Marjan Ghazvininejad
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`	LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale. CoRR Tim Dettmers, Mike Lewis, Younes Belkada, Luke Zettlemoyer
2022	J	`jnl`	LegoNN: Building Modular Encoder-Decoder Models. CoRR Siddharth Dalmia, Dmytro Okhonko, Mike Lewis, Sergey Edunov, Shinji Watanabe, Florian Metze, Luke Zettlemoyer, Abdelrahman Mohamed
2022	J	`jnl`	Measuring and Narrowing the Compositionality Gap in Language Models. CoRR Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A. Smith, Mike Lewis
2022	—	`conf`	MetaICL: Learning to Learn In Context. NAACL-HLT Sewon Min, Mike Lewis, Luke Zettlemoyer, Hannaneh Hajishirzi
2022	—	`conf`	Noisy Channel Language Model Prompting for Few-Shot Text Classification. ACL (1) Sewon Min, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
2022	J	`jnl`	Nonparametric Masked Language Modeling. CoRR Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer
2022	—	`conf`	Question Answering Infused Pre-training of General-Purpose Contextualized Representations. ACL (Findings) Robin Jia, Mike Lewis, Luke Zettlemoyer
2022	J	`jnl`	Questions Are All You Need to Train a Dense Passage Retriever. CoRR Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer
2022	A*	`conf`	Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
2022	J	`jnl`	Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? CoRR Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
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	—	`conf`	Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models. NAACL-HLT Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech
2022	A*	`conf`	Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation. ICLR Ofir Press, Noah A. Smith, Mike Lewis
2022	—	`conf`	Tricks for Training Sparse Translation Models. NAACL-HLT Dheeru Dua, Shruti Bhosale, Vedanuj Goswami, James Cross, Mike Lewis, Angela Fan
2021	J	`jnl`	8-bit Optimizers via Block-wise Quantization. CoRR Tim Dettmers, Mike Lewis, Sam Shleifer, Luke Zettlemoyer
2021	A*	`conf`	BASE Layers: Simplifying Training of Large, Sparse Models. ICML Mike Lewis, Shruti Bhosale, Tim Dettmers, Naman Goyal, Luke Zettlemoyer
2021	J	`jnl`	BASE Layers: Simplifying Training of Large, Sparse Models. CoRR Mike Lewis, Shruti Bhosale, Tim Dettmers, Naman Goyal, Luke Zettlemoyer
2021	J	`jnl`	DEMix Layers: Disentangling Domains for Modular Language Modeling. CoRR Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, Luke Zettlemoyer
2021	J	`jnl`	HTLM: Hyper-Text Pre-Training and Prompting of Language Models. CoRR Armen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu, Gargi Ghosh, Luke Zettlemoyer
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	J	`jnl`	MetaICL: Learning to Learn In Context. CoRR Sewon Min, Mike Lewis, Luke Zettlemoyer, Hannaneh Hajishirzi
2021	—	`conf`	Multitasking Inhibits Semantic Drift. NAACL-HLT Athul Paul Jacob, Mike Lewis, Jacob Andreas
2021	J	`jnl`	Multitasking Inhibits Semantic Drift. CoRR Athul Paul Jacob, Mike Lewis, Jacob Andreas
2021	A*	`conf`	Nearest Neighbor Machine Translation. ICLR Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis
2021	J	`jnl`	Noisy Channel Language Model Prompting for Few-Shot Text Classification. CoRR Sewon Min, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer
2021	J	`jnl`	Question Answering Infused Pre-training of General-Purpose Contextualized Representations. CoRR Robin Jia, Mike Lewis, Luke Zettlemoyer
2021	—	`conf`	Shortformer: Better Language Modeling using Shorter Inputs. ACL/IJCNLP (1) Ofir Press, Noah A. Smith, Mike Lewis
2021	J	`jnl`	Sparse Distillation: Speeding Up Text Classification by Using Bigger Models. CoRR Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech
2021	J	`jnl`	Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation. CoRR Ofir Press, Noah A. Smith, Mike Lewis
2021	J	`jnl`	Tricks for Training Sparse Translation Models. CoRR Dheeru Dua, Shruti Bhosale, Vedanuj Goswami, James Cross, Mike Lewis, Angela Fan
2020	A*	`conf`	Asking and Answering Questions to Evaluate the Factual Consistency of Summaries. ACL Alex Wang, Kyunghyun Cho, Mike Lewis
2020	J	`jnl`	Asking and Answering Questions to Evaluate the Factual Consistency of Summaries. CoRR Alex Wang, Kyunghyun Cho, Mike Lewis
2020	A*	`conf`	BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. ACL Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, Luke Zettlemoyer
2020	—	`conf`	Conversational Semantic Parsing. EMNLP (1) Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Michael Haeger, Haoran Li, Yashar Mehdad, Veselin Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta
2020	J	`jnl`	Conversational Semantic Parsing. CoRR Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Mike Haeger, Haoran Li, Yashar Mehdad, Ves Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta
2020	A*	`conf`	Generalization through Memorization: Nearest Neighbor Language Models. ICLR Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis
2020	—	`conf`	Grounded Adaptation for Zero-shot Executable Semantic Parsing. EMNLP (1) Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer
2020	J	`jnl`	Grounded Adaptation for Zero-shot Executable Semantic Parsing. CoRR Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer
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`	Multilingual Denoising Pre-training for Neural Machine Translation. CoRR Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer
2020	J	`jnl`	Multilingual Denoising Pre-training for Neural Machine Translation. Trans. Assoc. Comput. Linguistics Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer
2020	J	`jnl`	Nearest Neighbor Machine Translation. CoRR Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis
2020	A*	`conf`	Pre-training via Paraphrasing. NeurIPS Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida Wang, Luke Zettlemoyer
2020	J	`jnl`	Pre-training via Paraphrasing. CoRR Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida I. Wang, Luke Zettlemoyer
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`	Shortformer: Better Language Modeling using Shorter Inputs. CoRR Ofir Press, Noah A. Smith, Mike Lewis
2019	J	`jnl`	BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. CoRR Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, Luke Zettlemoyer
2019	A	`conf`	Community Regularization of Visually-Grounded Dialog. AAMAS Akshat Agarwal, Swaminathan Gurumurthy, Vasu Sharma, Mike Lewis, Katia P. Sycara
2019	—	`conf`	Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog. NAACL-HLT (1) Sebastian Schuster, Sonal Gupta, Rushin Shah, Mike Lewis
2019	J	`jnl`	Enforcing Encoder-Decoder Modularity in Sequence-to-Sequence Models. CoRR Siddharth Dalmia, Abdelrahman Mohamed, Mike Lewis, Florian Metze, Luke Zettlemoyer
2019	J	`jnl`	Generalization through Memorization: Nearest Neighbor Language Models. CoRR Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis
2019	—	`conf`	Generative Question Answering: Learning to Answer the Whole Question. ICLR (Poster) Mike Lewis, Angela Fan
2019	A*	`conf`	Hierarchical Decision Making by Generating and Following Natural Language Instructions. NeurIPS Hengyuan Hu, Denis Yarats, Qucheng Gong, Yuandong Tian, Mike Lewis
2019	J	`jnl`	Hierarchical Decision Making by Generating and Following Natural Language Instructions. CoRR Hengyuan Hu, Denis Yarats, Qucheng Gong, Yuandong Tian, Mike Lewis
2019	J	`jnl`	Improving Semantic Parsing for Task Oriented Dialog. CoRR Arash Einolghozati, Panupong Pasupat, Sonal Gupta, Rushin Shah, Mrinal Mohit, Mike Lewis, Luke Zettlemoyer
2019	J	`jnl`	MelNet: A Generative Model for Audio in the Frequency Domain. CoRR Sean Vasquez, Mike Lewis
2019	J	`jnl`	RoBERTa: A Robustly Optimized BERT Pretraining Approach. CoRR Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov
2019	—	`conf`	Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog. EMNLP/IJCNLP (1) Panupong Pasupat, Sonal Gupta, Karishma Mandyam, Rushin Shah, Mike Lewis, Luke Zettlemoyer
2019	—	`conf`	Strategies for Structuring Story Generation. ACL (1) Angela Fan, Mike Lewis, Yann N. Dauphin
2019	J	`jnl`	Strategies for Structuring Story Generation. CoRR Angela Fan, Mike Lewis, Yann N. Dauphin
2018	A*	`conf`	A Dataset for Telling the Stories of Social Media Videos. EMNLP Spandana Gella, Mike Lewis, Marcus Rohrbach
2018	—	`conf`	Common ground control system (CGCS) to support autonomous object observation, collection, and response in multi-domain environments. SysCon Paul C. Hershey, Mike Sica, Mike Lewis
2018	J	`jnl`	Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog. CoRR Sebastian Schuster, Sonal Gupta, Rushin Shah, Mike Lewis
2018	J	`jnl`	Evaluating Visual Reasoning through Grounded Language Understanding. AI Mag. Alane Suhr, Mike Lewis, James Yeh, Yoav Artzi
2018	—	`conf`	Hierarchical Neural Story Generation. ACL (1) Angela Fan, Mike Lewis, Yann N. Dauphin
2018	J	`jnl`	Hierarchical Neural Story Generation. CoRR Angela Fan, Mike Lewis, Yann N. Dauphin
2018	A*	`conf`	Hierarchical Text Generation and Planning for Strategic Dialogue. ICML Denis Yarats, Mike Lewis
2018	A*	`conf`	Neural Compositional Denotational Semantics for Question Answering. EMNLP Nitish Gupta, Mike Lewis
2018	J	`jnl`	Neural Compositional Denotational Semantics for Question Answering. CoRR Nitish Gupta, Mike Lewis
2018	A*	`conf`	Semantic Parsing for Task Oriented Dialog using Hierarchical Representations. EMNLP Sonal Gupta, Rushin Shah, Mrinal Mohit, Anuj Kumar, Mike Lewis
2018	J	`jnl`	Semantic Parsing for Task Oriented Dialog using Hierarchical Representations. CoRR Sonal Gupta, Rushin Shah, Mrinal Mohit, Anuj Kumar, Mike Lewis
2017	—	`conf`	A Corpus of Natural Language for Visual Reasoning. ACL (2) Alane Suhr, Mike Lewis, James Yeh, Yoav Artzi
2017	J	`jnl`	Deal or No Deal? End-to-End Learning for Negotiation Dialogues. CoRR Mike Lewis, Denis Yarats, Yann N. Dauphin, Devi Parikh, Dhruv Batra
2017	A*	`conf`	Deal or No Deal? End-to-End Learning of Negotiation Dialogues. EMNLP Mike Lewis, Denis Yarats, Yann N. Dauphin, Devi Parikh, Dhruv Batra
2017	—	`conf`	Deep Semantic Role Labeling: What Works and What's Next. ACL (1) Luheng He, Kenton Lee, Mike Lewis, Luke Zettlemoyer
2017	A*	`conf`	End-to-end Neural Coreference Resolution. EMNLP Kenton Lee, Luheng He, Mike Lewis, Luke Zettlemoyer
2017	J	`jnl`	End-to-end Neural Coreference Resolution. CoRR Kenton Lee, Luheng He, Mike Lewis, Luke Zettlemoyer
2017	J	`jnl`	Hierarchical Text Generation and Planning for Strategic Dialogue. CoRR Denis Yarats, Mike Lewis
2016	A*	`conf`	Global Neural CCG Parsing with Optimality Guarantees. EMNLP Kenton Lee, Mike Lewis, Luke Zettlemoyer
2016	J	`jnl`	Global Neural CCG Parsing with Optimality Guarantees. CoRR Kenton Lee, Mike Lewis, Luke Zettlemoyer
2016	A*	`conf`	Human-in-the-Loop Parsing. EMNLP Luheng He, Julian Michael, Mike Lewis, Luke Zettlemoyer
2016	—	`conf`	LSTM CCG Parsing. HLT-NAACL Mike Lewis, Kenton Lee, Luke Zettlemoyer
2015	A*	`conf`	Joint A* CCG Parsing and Semantic Role Labelling. EMNLP Mike Lewis, Luheng He, Luke Zettlemoyer
2015	A*	`conf`	Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language. EMNLP Luheng He, Mike Lewis, Luke Zettlemoyer
2014	A*	`conf`	A* CCG Parsing with a Supertag-factored Model. EMNLP Mike Lewis, Mark Steedman
2014	A*	`conf`	Extracting common sense knowledge from text for robot planning. ICRA Peter Kaiser, Mike Lewis, Ronald P. A. Petrick, Tamim Asfour, Mark Steedman
2014	J	`jnl`	Improved CCG Parsing with Semi-supervised Supertagging. Trans. Assoc. Comput. Linguistics Mike Lewis, Mark Steedman
2013	J	`jnl`	Combined Distributional and Logical Semantics. Trans. Assoc. Comput. Linguistics Mike Lewis, Mark Steedman
2013	—	`conf`	Grounded spatial symbols for task planning based on experience. Humanoids Kai Welke, Peter Kaiser, Alexey Kozlov, Nils Adermann, Tamim Asfour, Mike Lewis, Mark Steedman
2013	—	`conf`	Migrating To The Cloud: Lessons And Limitations Of 'Traditional' IS Success Models. CSER Imran Khan Azeemi, Mike Lewis, Theo Tryfonas
2013	A*	`conf`	Unsupervised Induction of Cross-Lingual Semantic Relations. EMNLP Mike Lewis, Mark Steedman
2007	J	`jnl`	HMDB: the Human Metabolome Database. Nucleic Acids Res. David S. Wishart, Dan Tzur, Craig Knox, Roman Eisner, Anchi Guo, Nelson Young, Dean Cheng, Kevin Jewell, David Arndt, Summit Sawhney, Chris Fung, Lisa Nikolai, Mike Lewis, Marie-Aude Coutouly, Ian J. Forsythe, Peter Tang, Savita Shrivastava, Kevin Jeroncic, Paul Stothard, Godwin Amegbey, David Block, David D. Hau, James Wagner, Jessica Miniaci, Melisa Clements, Mulu Gebremedhin, Natalie Guo, Ying Zhang, Gavin E. Duggan, Glen D. MacInnis, Alim M. Weljie, Reza Dowlatabadi, Fiona Bamforth, Derrick Clive, Russell Greiner, Liang Li, Tom Marrie, Brian D. Sykes, Hans J. Vogel, Lori Querengesser