Mike Lewis

According to our database, Mike Lewis authored at least 91 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

LegoNN: Building Modular Encoder-Decoder Models.

Siddharth Dalmia, Dmytro Okhonko, Mike Lewis, Sergey Edunov, Shinji Watanabe, Florian Metze, Luke Zettlemoyer, Abdelrahman Mohamed

IEEE ACM Trans. Audio Speech Lang. Process., 2023

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, Scott Yih, Mike Lewis

CoRR, 2023

RA-DIT: Retrieval-Augmented Dual Instruction Tuning.

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

CoRR, 2023

Efficient Streaming Language Models with Attention Sinks.

Guangxuan Xiao, Yuandong Tian, Beidi Chen, Song Han, Mike Lewis

CoRR, 2023

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

CoRR, 2023

Contrastive Decoding Improves Reasoning in Large Language Models.

Sean O'Brien, Mike Lewis

CoRR, 2023

Self-Alignment with Instruction Backtranslation.

Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Luke Zettlemoyer, Omer Levy, Jason Weston, Mike Lewis

CoRR, 2023

Trusting Your Evidence: Hallucinate Less with Context-aware Decoding.

Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Scott Wen-tau Yih

CoRR, 2023

Scaling Expert Language Models with Unsupervised Domain Discovery.

Suchin Gururangan, Margaret Li, Mike Lewis, Weijia Shi, Tim Althoff, Noah A. Smith, Luke Zettlemoyer

CoRR, 2023

REPLUG: Retrieval-Augmented Black-Box Language Models.

Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Rich James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih

CoRR, 2023

LIMA: Less Is More for Alignment.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers.

Lili Yu, Daniel Simig, Colin Flaherty, Armen Aghajanyan, Luke Zettlemoyer, Mike Lewis

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Coder Reviewer Reranking for Code Generation.

Tianyi Zhang, Tao Yu, Tatsunori Hashimoto, Mike Lewis, Wen-Tau Yih, Daniel Fried, Sida Wang

Proceedings of the International Conference on Machine Learning, 2023

Retrieval-Augmented Multimodal Language Modeling.

Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-Tau Yih

Proceedings of the International Conference on Machine Learning, 2023

Progressive Prompts: Continual Learning for Language Models.

Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, Mike Lewis, Amjad Almahairi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

AutoReply: Detecting Nonsense in Dialogue with Discriminative Replies.

Weiyan Shi, Emily Dinan, Adi Renduchintala, Daniel Fried, Athul Paul Jacob, Zhou Yu, Mike Lewis

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Measuring and Narrowing the Compositionality Gap in Language Models.

Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A. Smith, Mike Lewis

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Residual Prompt Tuning: improving prompt tuning with residual reparameterization.

Anastasia Razdaibiedina, Yuning Mao, Madian Khabsa, Mike Lewis, Rui Hou, Jimmy Ba, Amjad Almahairi

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Nonparametric Masked Language Modeling.

Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

In-context Examples Selection for Machine Translation.

Sweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, Marjan Ghazvininejad

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Improving Chess Commentaries by Combining Language Models with Symbolic Reasoning Engines.

Andrew Lee, David Wu, Emily Dinan, Mike Lewis

CoRR, 2022

AutoReply: Detecting Nonsense in Dialogue Introspectively with Discriminative Replies.

Weiyan Shi, Emily Dinan, Adi Renduchintala, Daniel Fried, Athul Paul Jacob, Zhou Yu, Mike Lewis

CoRR, 2022

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

Tim Dettmers, Mike Lewis, Younes Belkada, Luke Zettlemoyer

CoRR, 2022

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

Margaret Li, Suchin Gururangan, Tim Dettmers, Mike Lewis, Tim Althoff, Noah A. Smith, Luke Zettlemoyer

CoRR, 2022

Questions Are All You Need to Train a Dense Passage Retriever.

Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer

CoRR, 2022

Few-shot Mining of Naturally Occurring Inputs and Outputs.

Mandar Joshi, Terra Blevins, Mike Lewis, Daniel S. Weld, Luke Zettlemoyer

CoRR, 2022

CM3: A Causal Masked Multimodal Model of the Internet.

Armen Aghajanyan, Bernie Huang, Candace Ross, Vladimir Karpukhin, Hu Xu, Naman Goyal, Dmytro Okhonko, Mandar Joshi, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer

CoRR, 2022

GPT3.int8(): 8-bit Matrix Multiplication for Transformers at Scale.

Tim Dettmers, Mike Lewis, Younes Belkada, Luke Zettlemoyer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

MetaICL: Learning to Learn In Context.

Sewon Min, Mike Lewis, Luke Zettlemoyer, Hannaneh Hajishirzi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

DEMix Layers: Disentangling Domains for Modular Language Modeling.

Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, Luke Zettlemoyer

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Tricks for Training Sparse Translation Models.

Dheeru Dua, Shruti Bhosale, Vedanuj Goswami, James Cross, Mike Lewis, Angela Fan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

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

Ofir Press, Noah A. Smith, Mike Lewis

Proceedings of the Tenth International Conference on Learning Representations, 2022

8-bit Optimizers via Block-wise Quantization.

Tim Dettmers, Mike Lewis, Sam Shleifer, Luke Zettlemoyer

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Armen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu, Gargi Ghosh, Luke Zettlemoyer

Proceedings of the Tenth International Conference on Learning Representations, 2022

Improving Passage Retrieval with Zero-Shot Question Generation.

Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Noisy Channel Language Model Prompting for Few-Shot Text Classification.

Sewon Min, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

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

Robin Jia, Mike Lewis, Luke Zettlemoyer

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

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

Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech

CoRR, 2021

Multitasking Inhibits Semantic Drift.

Athul Paul Jacob, Mike Lewis, Jacob Andreas

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

BASE Layers: Simplifying Training of Large, Sparse Models.

Mike Lewis, Shruti Bhosale, Tim Dettmers, Naman Goyal, Luke Zettlemoyer

Proceedings of the 38th International Conference on Machine Learning, 2021

Nearest Neighbor Machine Translation.

Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis

Proceedings of the 9th International Conference on Learning Representations, 2021

Joint Verification and Reranking for Open Fact Checking Over Tables.

Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Shortformer: Better Language Modeling using Shorter Inputs.

Ofir Press, Noah A. Smith, Mike Lewis

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Multilingual Denoising Pre-training for Neural Machine Translation.

Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer

Trans. Assoc. Comput. Linguistics, 2020

Conversational Semantic Parsing.

Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Mike Haeger, Haoran Li, Yashar Mehdad, Ves Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta

CoRR, 2020

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Pre-training via Paraphrasing.

Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida Wang, Luke Zettlemoyer

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Generalization through Memorization: Nearest Neighbor Language Models.

Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis

Proceedings of the 8th International Conference on Learning Representations, 2020

Grounded Adaptation for Zero-shot Executable Semantic Parsing.

Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Asking and Answering Questions to Evaluate the Factual Consistency of Summaries.

Alex Wang, Kyunghyun Cho, Mike Lewis

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

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

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Enforcing Encoder-Decoder Modularity in Sequence-to-Sequence Models.

Siddharth Dalmia, Abdelrahman Mohamed, Mike Lewis, Florian Metze, Luke Zettlemoyer

CoRR, 2019

RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov

CoRR, 2019

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

Sean Vasquez, Mike Lewis

CoRR, 2019

Improving Semantic Parsing for Task Oriented Dialog.

Arash Einolghozati, Panupong Pasupat, Sonal Gupta, Rushin Shah, Mrinal Mohit, Mike Lewis, Luke Zettlemoyer

CoRR, 2019

Hierarchical Decision Making by Generating and Following Natural Language Instructions.

Hengyuan Hu, Denis Yarats, Qucheng Gong, Yuandong Tian, Mike Lewis

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog.

Sebastian Schuster, Sonal Gupta, Rushin Shah, Mike Lewis

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Generative Question Answering: Learning to Answer the Whole Question.

Mike Lewis, Angela Fan

Proceedings of the 7th International Conference on Learning Representations, 2019

Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog.

Panupong Pasupat, Sonal Gupta, Karishma Mandyam, Rushin Shah, Mike Lewis, Luke Zettlemoyer

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Community Regularization of Visually-Grounded Dialog.

Akshat Agarwal, Swaminathan Gurumurthy, Vasu Sharma, Mike Lewis, Katia P. Sycara

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Strategies for Structuring Story Generation.

Angela Fan, Mike Lewis, Yann N. Dauphin

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Evaluating Visual Reasoning through Grounded Language Understanding.

Alane Suhr, Mike Lewis, James Yeh, Yoav Artzi

AI Mag., 2018

Common ground control system (CGCS) to support autonomous object observation, collection, and response in multi-domain environments.

Paul C. Hershey, Mike Sica, Mike Lewis

Proceedings of the 2018 Annual IEEE International Systems Conference, 2018

Hierarchical Text Generation and Planning for Strategic Dialogue.

Denis Yarats, Mike Lewis

Proceedings of the 35th International Conference on Machine Learning, 2018

Semantic Parsing for Task Oriented Dialog using Hierarchical Representations.

Sonal Gupta, Rushin Shah, Mrinal Mohit, Anuj Kumar, Mike Lewis

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Neural Compositional Denotational Semantics for Question Answering.

Nitish Gupta, Mike Lewis

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Dataset for Telling the Stories of Social Media Videos.

Spandana Gella, Mike Lewis, Marcus Rohrbach

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Hierarchical Neural Story Generation.

Angela Fan, Mike Lewis, Yann N. Dauphin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

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

Mike Lewis, Denis Yarats, Yann N. Dauphin, Devi Parikh, Dhruv Batra

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

End-to-end Neural Coreference Resolution.

Kenton Lee, Luheng He, Mike Lewis, Luke Zettlemoyer

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Corpus of Natural Language for Visual Reasoning.

Alane Suhr, Mike Lewis, James Yeh, Yoav Artzi

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Deep Semantic Role Labeling: What Works and What's Next.

Luheng He, Kenton Lee, Mike Lewis, Luke Zettlemoyer

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

LSTM CCG Parsing.

Mike Lewis, Kenton Lee, Luke Zettlemoyer

Proceedings of the NAACL HLT 2016, 2016

Global Neural CCG Parsing with Optimality Guarantees.

Kenton Lee, Mike Lewis, Luke Zettlemoyer

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Human-in-the-Loop Parsing.

Luheng He, Julian Michael, Mike Lewis, Luke Zettlemoyer

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

Joint A* CCG Parsing and Semantic Role Labelling.

Mike Lewis, Luheng He, Luke Zettlemoyer

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

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

Luheng He, Mike Lewis, Luke Zettlemoyer

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Improved CCG Parsing with Semi-supervised Supertagging.

Mike Lewis, Mark Steedman

Trans. Assoc. Comput. Linguistics, 2014

Extracting common sense knowledge from text for robot planning.

Peter Kaiser, Mike Lewis, Ronald P. A. Petrick, Tamim Asfour, Mark Steedman

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

A* CCG Parsing with a Supertag-factored Model.

Mike Lewis, Mark Steedman

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

Combined Distributional and Logical Semantics.

Mike Lewis, Mark Steedman

Trans. Assoc. Comput. Linguistics, 2013

Migrating To The Cloud: Lessons And Limitations Of 'Traditional' IS Success Models.

Imran Khan Azeemi, Mike Lewis, Theo Tryfonas

Proceedings of the Conference on Systems Engineering Research, 2013

Grounded spatial symbols for task planning based on experience.

Kai Welke, Peter Kaiser, Alexey Kozlov, Nils Adermann, Tamim Asfour, Mike Lewis, Mark Steedman

Proceedings of the 13th IEEE-RAS International Conference on Humanoid Robots, 2013

Unsupervised Induction of Cross-Lingual Semantic Relations.

Mike Lewis, Mark Steedman

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2007

HMDB: the Human Metabolome Database.

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

Nucleic Acids Res., 2007