Noah A. Smith

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 342

Top Venues

CoRR

EMNLP

ACL (1)

EMNLP (Findings)

Publications

Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi
OLMo: Accelerating the Science of Language Models. CoRR (2024)
Alisa Liu, Xiaochuang Han, Yizhong Wang, Yulia Tsvetkov, Yejin Choi, Noah A. Smith
Tuning Language Models by Proxy. CoRR (2024)
Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan, Margaret Li, Hila Gonen, Noah A. Smith, Luke Zettlemoyer
Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models. CoRR (2024)
Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. CoRR (2024)
Yanai Elazar, Akshita Bhagia, Ian Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hanna Hajishirzi, Noah A. Smith, Jesse Dodge
What's In My Big Data? CoRR (2023)
Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
We're Afraid Language Models Aren't Modeling Ambiguity. EMNLP (2023)
Jaechan Lee, Alisa Liu, Orevaoghene Ahia, Hila Gonen, Noah A. Smith
That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context? CoRR (2023)
Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishirzi
Self-Instruct: Aligning Language Models with Self-Generated Instructions. ACL (1) (2023)
Hila Gonen, Srini Iyer, Terra Blevins, Noah A. Smith, Luke Zettlemoyer
Demystifying Prompts in Language Models via Perplexity Estimation. EMNLP (Findings) (2023)
Ian Magnusson, Noah A. Smith, Jesse Dodge
Reproducibility in NLP: What Have We Learned from the Checklist? CoRR (2023)
Wenya Wang, Vivek Srikumar, Hannaneh Hajishirzi, Noah A. Smith
Elaboration-Generating Commonsense Question Answering at Scale. ACL (1) (2023)
Muru Zhang, Ofir Press, William Merrill, Alisa Liu, Noah A. Smith
How Language Model Hallucinations Can Snowball. CoRR (2023)
Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Scott Yih, Mike Lewis
In-Context Pretraining: Language Modeling Beyond Document Boundaries. CoRR (2023)
Haoxin Li, Phillip Keung, Daniel Cheng, Jungo Kasai, Noah A. Smith
NarrowBERT: Accelerating Masked Language Model Pretraining and Inference. ACL (2) (2023)
Zeqiu Wu, Yushi Hu, Weijia Shi, Nouha Dziri, Alane Suhr, Prithviraj Ammanabrolu, Noah A. Smith, Mari Ostendorf, Hannaneh Hajishirzi
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training. NeurIPS (2023)
Suchin Gururangan, Margaret Li, Mike Lewis, Weijia Shi, Tim Althoff, Noah A. Smith, Luke Zettlemoyer
Scaling Expert Language Models with Unsupervised Domain Discovery. CoRR (2023)
Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. EMNLP (2023)
Ian Magnusson, Akshita Bhagia, Valentin Hofmann, Luca Soldaini, Ananya Harsh Jha, Oyvind Tafjord, Dustin Schwenk, Evan Pete Walsh, Yanai Elazar, Kyle Lo, Dirk Groeneveld, Iz Beltagy, Hannaneh Hajishirzi, Noah A. Smith, Kyle Richardson, Jesse Dodge
Paloma: A Benchmark for Evaluating Language Model Fit. CoRR (2023)
Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir Radev, Noah A. Smith, Yejin Choi, Kentaro Inui
RealTime QA: What's the Answer Right Now? NeurIPS (2023)
Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, Noah A. Smith
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering. ICCV (2023)
Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith
Estimating the Causal Effect of Early ArXiving on Paper Acceptance. CoRR (2023)
Sofia Serrano, Jesse Dodge, Noah A. Smith
Stubborn Lexical Bias in Data and Models. CoRR (2023)
Hao Peng, Qingqing Cao, Jesse Dodge, Matthew E. Peters, Jared Fernandez, Tom Sherborne, Kyle Lo, Sam Skjonsberg, Emma Strubell, Darrell Plessas, Iz Beltagy, Evan Pete Walsh, Noah A. Smith, Hannaneh Hajishirzi
Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation. CoRR (2023)
Yushi Hu, Hang Hua, Zhengyuan Yang, Weijia Shi, Noah A. Smith, Jiebo Luo
PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3. ICCV (2023)
Sewon Min, Suchin Gururangan, Eric Wallace, Hannaneh Hajishirzi, Noah A. Smith, Luke Zettlemoyer
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore. CoRR (2023)
Sofia Serrano, Zander Brumbaugh, Noah A. Smith
Language Models: A Guide for the Perplexed. CoRR (2023)
Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. CoRR (2023)
Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu
One Embedder, Any Task: Instruction-Finetuned Text Embeddings. ACL (Findings) (2023)
Zeqiu Wu, Yushi Hu, Weijia Shi, Nouha Dziri, Alane Suhr, Prithviraj Ammanabrolu, Noah A. Smith, Mari Ostendorf, Hannaneh Hajishirzi
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training. CoRR (2023)
Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A. Smith, Mike Lewis
Measuring and Narrowing the Compositionality Gap in Language Models. EMNLP (Findings) (2023)
Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. NeurIPS (2023)
Hamish Ivison, Yizhong Wang, Valentina Pyatkin, Nathan Lambert, Matthew Peters, Pradeep Dasigi, Joel Jang, David Wadden, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2. CoRR (2023)
Sofia Serrano, Jesse Dodge, Noah A. Smith
Stubborn Lexical Bias in Data and Models. ACL (Findings) (2023)
Haoxin Li, Phillip Keung, Daniel Cheng, Jungo Kasai, Noah A. Smith
NarrowBERT: Accelerating Masked Language Model Pretraining and Inference. CoRR (2023)
Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
We're Afraid Language Models Aren't Modeling Ambiguity. CoRR (2023)
Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu
Binding Language Models in Symbolic Languages. ICLR (2023)
Jaechan Lee, Alisa Liu, Orevaoghene Ahia, Hila Gonen, Noah A. Smith
That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context? EMNLP (Findings) (2023)
Haoxin Li, Phillip Keung, Daniel Cheng, Jungo Kasai, Noah A. Smith
ACID: Abstractive, Content-Based IDs for Document Retrieval with Language Models. CoRR (2023)
Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Chandu Raghavi, Vivek Srikumar, Sameer Singh, Noah A. Smith
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. CoRR (2023)
Orevaoghene Ahia, Hila Gonen, Vidhisha Balachandran, Yulia Tsvetkov, Noah A. Smith
LEXPLAIN: Improving Model Explanations via Lexicon Supervision. *SEM@ACL (2023)
Jiacheng Liu, Wenya Wang, Dianzhuo Wang, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi
Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements. EMNLP (2023)
Judit Ács, Endre Hamerlik, Roy Schwartz, Noah A. Smith, András Kornai
Morphosyntactic probing of multilingual BERT models. CoRR (2023)
Jiacheng Liu, Wenya Wang, Dianzhuo Wang, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi
Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements. CoRR (2023)
Bo-Ru Lu, Nikita Haduong, Chia-Hsuan Lee, Zeqiu Wu, Hao Cheng, Paul Koester, Jean Utke, Tao Yu, Noah A. Smith, Mari Ostendorf
DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations. CoRR (2023)
Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi
Data-Efficient Finetuning Using Cross-Task Nearest Neighbors. ACL (Findings) (2023)
Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu
Selective Annotation Makes Language Models Better Few-Shot Learners. ICLR (2023)
Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. CoRR (2023)
Ian Magnusson, Noah A. Smith, Jesse Dodge
Reproducibility in NLP: What Have We Learned from the Checklist? ACL (Findings) (2023)
Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, Noah A. Smith
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering. CoRR (2023)
Kai Nylund, Suchin Gururangan, Noah A. Smith
Time is Encoded in the Weights of Finetuned Language Models. CoRR (2023)
Nikita Haduong, Alice Gao, Noah A. Smith
Risks and NLP Design: A Case Study on Procedural Document QA. ACL (Findings) (2023)
Zhaofeng Wu, William Merrill, Hao Peng, Iz Beltagy, Noah A. Smith
Transparency Helps Reveal When Language Models Learn Meaning. CoRR (2022)
Suchin Gururangan, Dallas Card, Sarah K. Dreier, Emily K. Gade, Leroy Z. Wang, Zeyu Wang, Luke Zettlemoyer, Noah A. Smith
Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection. CoRR (2022)
Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz
How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. EMNLP (Findings) (2022)
Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A. Smith, Mike Lewis
Measuring and Narrowing the Compositionality Gap in Language Models. CoRR (2022)
Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, Noah A. Smith, Yejin Choi
Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text. ACL (1) (2022)
Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir R. Radev, Noah A. Smith, Yejin Choi, Kentaro Inui
RealTime QA: What's the Answer Right Now? CoRR (2022)
Daniel Edmiston, Phillip Keung, Noah A. Smith
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning. CoRR (2022)
Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu
Binding Language Models in Symbolic Languages. CoRR (2022)
Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection. NAACL-HLT (2022)
Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan
Measuring the Carbon Intensity of AI in Cloud Instances. FAccT (2022)
Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. NAACL-HLT (2022)
Tal August, Katharina Reinecke, Noah A. Smith
Generating Scientific Definitions with Controllable Complexity. ACL (1) (2022)
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir R. Radev, Yejin Choi, Noah A. Smith
Twist Decoding: Diverse Generators Guide Each Other. CoRR (2022)
Margaret Li, Suchin Gururangan, Tim Dettmers, Mike Lewis, Tim Althoff, Noah A. Smith, Luke Zettlemoyer
Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models. CoRR (2022)
Yushi Hu, Hang Hua, Zhengyuan Yang, Weijia Shi, Noah A. Smith, Jiebo Luo
PromptCap: Prompt-Guided Task-Aware Image Captioning. CoRR (2022)
Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld
GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation. EMNLP (2022)
Bo-Ru Lu, Yushi Hu, Hao Cheng, Noah A. Smith, Mari Ostendorf
Unsupervised Learning of Hierarchical Conversation Structure. CoRR (2022)
Bo-Ru Lu, Yushi Hu, Hao Cheng, Noah A. Smith, Mari Ostendorf
Unsupervised Learning of Hierarchical Conversation Structure. EMNLP (Findings) (2022)
Zhaofeng Wu, Hao Peng, Nikolaos Pappas, Noah A. Smith
Modeling Context With Linear Attention for Scalable Document-Level Translation. CoRR (2022)
Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. EMNLP (2022)
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith
Twist Decoding: Diverse Generators Guide Each Other. EMNLP (2022)
Daniel Cheng, Kyle Yan, Phillip Keung, Noah A. Smith
The Engage Corpus: A Social Media Dataset for Text-Based Recommender Systems. LREC (2022)
Daniel Edmiston, Phillip Keung, Noah A. Smith
Domain Mismatch Doesn't Always Prevent Cross-lingual Transfer Learning. LREC (2022)
Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu
Selective Annotation Makes Language Models Better Few-Shot Learners. CoRR (2022)
Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi
Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. CoRR (2022)
Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan
Measuring the Carbon Intensity of AI in Cloud Instances. CoRR (2022)
Hila Gonen, Srini Iyer, Terra Blevins, Noah A. Smith, Luke Zettlemoyer
Demystifying Prompts in Language Models via Perplexity Estimation. CoRR (2022)
Yushi Hu, Chia-Hsuan Lee, Tianbao Xie, Tao Yu, Noah A. Smith, Mari Ostendorf
In-Context Learning for Few-Shot Dialogue State Tracking. CoRR (2022)
Zhaofeng Wu, Hao Peng, Nikolaos Pappas, Noah A. Smith
Modeling Context With Linear Attention for Scalable Document-Level Translation. EMNLP (Findings) (2022)
Maarten Sap, Anna Jafarpour, Yejin Choi, Noah A. Smith, James W. Pennebaker, Eric Horvitz
Computational Lens on Cognition: Study Of Autobiographical Versus Imagined Stories With Large-Scale Language Models. CoRR (2022)
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. NAACL-HLT (2022)
Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz
How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. CoRR (2022)
Kelvin Luu, Daniel Khashabi, Suchin Gururangan, Karishma Mandyam, Noah A. Smith
Time Waits for No One! Analysis and Challenges of Temporal Misalignment. NAACL-HLT (2022)
Yushi Hu, Chia-Hsuan Lee, Tianbao Xie, Tao Yu, Noah A. Smith, Mari Ostendorf
In-Context Learning for Few-Shot Dialogue State Tracking. EMNLP (Findings) (2022)
Suchin Gururangan, Dallas Card, Sarah K. Dreier, Emily K. Gade, Leroy Z. Wang, Zeyu Wang, Luke Zettlemoyer, Noah A. Smith
Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection. EMNLP (2022)
Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishirzi
Self-Instruct: Aligning Language Model with Self Generated Instructions. CoRR (2022)
Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. EMNLP (Findings) (2022)
Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu
One Embedder, Any Task: Instruction-Finetuned Text Embeddings. CoRR (2022)
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir R. Radev, Yejin Choi, Noah A. Smith
Beam Decoding with Controlled Patience. CoRR (2022)
Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir R. Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. CoRR (2022)
Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith
ABC: Attention with Bounded-memory Control. ACL (1) (2022)
Wenya Wang, Vivek Srikumar, Hanna Hajishirzi, Noah A. Smith
Elaboration-Generating Commonsense Question Answering at Scale. CoRR (2022)
Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi
Data-Efficient Finetuning Using Cross-Task Nearest Neighbors. CoRR (2022)
William Merrill, Ashish Sabharwal, Noah A. Smith
Saturated Transformers are Constant-Depth Threshold Circuits. Trans. Assoc. Comput. Linguistics 10 (2022)
Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. CoRR (2022)
Rahul Nadkarni, David Wadden, Iz Beltagy, Noah A. Smith, Hannaneh Hajishirzi, Tom Hope
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study. AKBC (2021)
Leo Z. Liu, Yizhong Wang, Jungo Kasai, Hannaneh Hajishirzi, Noah A. Smith
Probing Across Time: What Does RoBERTa Know and When? CoRR (2021)
Kelvin Luu, Daniel Khashabi, Suchin Gururangan, Karishma Mandyam, Noah A. Smith
Time Waits for No One! Analysis and Challenges of Temporal Misalignment. CoRR (2021)
Rik Koncel-Kedziorski, Noah A. Smith
Go Forth and Prosper: Language Modeling with Ancient Textual History. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Noah A. Smith