Christopher D. Manning

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 220

Top Venues

Publications

Parth Sarthi, Salman Abdullah, Aditi Tuli, Shubh Khanna, Anna Goldie, Christopher D. Manning
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval. CoRR (2024)
John Hewitt, Sarah Chen, Lanruo Lora Xie, Edward Adams, Percy Liang, Christopher D. Manning
Model Editing with Canonical Examples. CoRR (2024)
Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning
Pushdown Layers: Encoding Recursive Structure in Transformer Language Models. EMNLP (2023)
Gaku Morio, Christopher D. Manning
An NLP Benchmark Dataset for Assessing Corporate Climate Policy Engagement. NeurIPS (2023)
Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, Chelsea Finn
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature. ICML (2023)
Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning
Grokking of Hierarchical Structure in Vanilla Transformers. CoRR (2023)
Peng Qi, Nina Du, Christopher D. Manning, Jing Huang
PragmatiCQA: A Dataset for Pragmatic Question Answering in Conversations. ACL (Findings) (2023)
Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning
Grokking of Hierarchical Structure in Vanilla Transformers. ACL (2) (2023)
Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Christopher D. Manning, Chelsea Finn
Direct Preference Optimization: Your Language Model is Secretly a Reward Model. CoRR (2023)
Nathan Hu, Eric Mitchell, Christopher D. Manning, Chelsea Finn
Meta-Learning Online Adaptation of Language Models. EMNLP (2023)
Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback. CoRR (2023)
Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions. EMNLP (2023)
Peter Henderson, Eric Mitchell, Christopher D. Manning, Dan Jurafsky, Chelsea Finn
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models. AIES (2023)
Tolúlopé Ògúnrèmí, Christopher D. Manning, Dan Jurafsky
Multilingual self-supervised speech representations improve the speech recognition of low-resource African languages with codeswitching. CoRR (2023)
Tolúlopé Ògúnrèmí, Dan Jurafsky, Christopher D. Manning
Mini But Mighty: Efficient Multilingual Pretraining with Linguistically-Informed Data Selection. EACL (Findings) (2023)
Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning
Pushdown Layers: Encoding Recursive Structure in Transformer Language Models. CoRR (2023)
Katherine Tian, Eric Mitchell, Huaxiu Yao, Christopher D. Manning, Chelsea Finn
Fine-tuning Language Models for Factuality. CoRR (2023)
John Hewitt, John Thickstun, Christopher D. Manning, Percy Liang
Backpack Language Models. CoRR (2023)
Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, Chelsea Finn
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature. CoRR (2023)
John Hewitt, John Thickstun, Christopher D. Manning, Percy Liang
Backpack Language Models. ACL (1) (2023)
Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions. CoRR (2023)
Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D. Manning, Stefano Ermon, Chelsea Finn
Direct Preference Optimization: Your Language Model is Secretly a Reward Model. NeurIPS (2023)
Alexander Shan, John Bauer, Riley Carlson, Christopher D. Manning
Do "English" Named Entity Recognizers Work Well on Global Englishes? EMNLP (Findings) (2023)
Eric Mitchell, Rafael Rafailov, Archit Sharma, Chelsea Finn, Christopher D. Manning
An Emulator for Fine-Tuning Large Language Models using Small Language Models. CoRR (2023)
Nathan Hu, Eric Mitchell, Christopher D. Manning, Chelsea Finn
Meta-Learning Online Adaptation of Language Models. CoRR (2023)
Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning
Characterizing intrinsic compositionality in transformers with Tree Projections. ICLR (2023)
Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback. EMNLP (2023)
Zhengxuan Wu, Christopher D. Manning, Christopher Potts
ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation. CoRR (2023)
Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning
Fast Model Editing at Scale. ICLR (2022)
Xinran Zhao, Shikhar Murty, Christopher D. Manning
On Measuring the Intrinsic Few-Shot Hardness of Datasets. CoRR (2022)
Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering. CoRR (2022)
John Hewitt, Christopher D. Manning, Percy Liang
Truncation Sampling as Language Model Desmoothing. EMNLP (Findings) (2022)
Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec
GreaseLM: Graph REASoning Enhanced Language Models. ICLR (2022)
Yibing Du, Antoine Bosselut, Christopher D. Manning
Synthetic Disinformation Attacks on Automated Fact Verification Systems. CoRR (2022)
Yuhao Zhang, Hang Jiang, Yasuhide Miura, Christopher D. Manning, Curtis P. Langlotz
Contrastive Learning of Medical Visual Representations from Paired Images and Text. MLHC (2022)
Siyan Li, Ashwin Paranjape, Christopher D. Manning
When can I Speak? Predicting initiation points for spoken dialogue agents. CoRR (2022)
Eric Mitchell, Joseph J. Noh, Siyan Li, William S. Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn, Christopher D. Manning
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference. CoRR (2022)
Ethan A. Chi, Ashwin Paranjape, Abigail See, Caleb Chiam, Trenton Chang, Kathleen Kenealy, Swee Kiat Lim, Amelia Hardy, Chetanya Rastogi, Haojun Li, Alexander Iyabor, Yutong He, Hari Sowrirajan, Peng Qi, Kaushik Ram Sadagopan, Nguyet Minh Phu, Dilara Soylu, Jillian Tang, Avanika Narayan, Giovanni Campagna, Christopher D. Manning
Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent. SIGDIAL (2022)
Haejun Lee, Akhil Kedia, Jongwon Lee, Ashwin Paranjape, Christopher D. Manning, Kyoung-Gu Woo
You Only Need One Model for Open-domain Question Answering. EMNLP (2022)
Ashwin Paranjape, Omar Khattab, Christopher Potts, Matei Zaharia, Christopher D. Manning
Hindsight: Posterior-guided training of retrievers for improved open-ended generation. ICLR (2022)
Peter Henderson, Mark S. Krass, Lucia Zheng, Neel Guha, Christopher D. Manning, Dan Jurafsky, Daniel E. Ho
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset. NeurIPS (2022)
Eric Mitchell, Peter Henderson, Christopher D. Manning, Dan Jurafsky, Chelsea Finn
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses in Foundation Models. CoRR (2022)
Shikhar Murty, Christopher D. Manning, Scott M. Lundberg, Marco Túlio Ribeiro
Fixing Model Bugs with Natural Language Patches. CoRR (2022)
Siyan Li, Ashwin Paranjape, Christopher D. Manning
When can I Speak? Predicting initiation points for spoken dialogue agents. SIGDIAL (2022)
Ruth-Ann Armstrong, John Hewitt, Christopher D. Manning
JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset. CoRR (2022)
Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning
Characterizing Intrinsic Compositionality in Transformers with Tree Projections. CoRR (2022)
Derek Chong, Jenny Hong, Christopher D. Manning
Detecting Label Errors by Using Pre-Trained Language Models. EMNLP (2022)
John Hewitt, Christopher D. Manning, Percy Liang
Truncation Sampling as Language Model Desmoothing. CoRR (2022)
Ethan A. Chi, Ashwin Paranjape, Abigail See, Caleb Chiam, Kathleen Kenealy, Swee Kiat Lim, Amelia Hardy, Chetanya Rastogi, Haojun Li, Alexander Iyabor, Yutong He, Hari Sowrirajan, Peng Qi, Kaushik Ram Sadagopan, Nguyet Minh Phu, Dilara Soylu, Jillian Tang, Avanika Narayan, Giovanni Campagna, Christopher D. Manning
Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent. CoRR (2022)
Eric Mitchell, Joseph J. Noh, Siyan Li, William S. Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn, Christopher D. Manning
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference. EMNLP (2022)
Yibing Du, Antoine Bosselut, Christopher D. Manning
Synthetic Disinformation Attacks on Automated Fact Verification Systems. AAAI (2022)
Ruth-Ann Armstrong, John Hewitt, Christopher D. Manning
JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset. EMNLP (Findings) (2022)
Shikhar Murty, Christopher D. Manning, Scott M. Lundberg, Marco Túlio Ribeiro
Fixing Model Bugs with Natural Language Patches. EMNLP (2022)
Peter Henderson, Mark S. Krass, Lucia Zheng, Neel Guha, Christopher D. Manning, Dan Jurafsky, Daniel E. Ho
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset. CoRR (2022)
Eric Mitchell, Charles Lin, Antoine Bosselut, Christopher D. Manning, Chelsea Finn
Memory-Based Model Editing at Scale. ICML (2022)
Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec
Deep Bidirectional Language-Knowledge Graph Pretraining. CoRR (2022)
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
Holistic Evaluation of Language Models. CoRR (2022)
Xinran Zhao, Shikhar Murty, Christopher D. Manning
On Measuring the Intrinsic Few-Shot Hardness of Datasets. EMNLP (2022)
Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec
Deep Bidirectional Language-Knowledge Graph Pretraining. NeurIPS (2022)
Derek Chong, Jenny Hong, Christopher D. Manning
Detecting Label Errors using Pre-Trained Language Models. CoRR (2022)
Eric Mitchell, Charles Lin, Antoine Bosselut, Christopher D. Manning, Chelsea Finn
Memory-Based Model Editing at Scale. CoRR (2022)
Ashwin Paranjape, Christopher D. Manning
Human-like informative conversations: Better acknowledgements using conditional mutual information. NAACL-HLT (2021)
Amelia Hardy, Ashwin Paranjape, Christopher D. Manning
Effective Social Chatbot Strategies for Increasing User Initiative. SIGDIAL (2021)
Ashwin Paranjape, Christopher D. Manning
Human-like informative conversations: Better acknowledgements using conditional mutual information. CoRR (2021)
Ashwin Paranjape, Omar Khattab, Christopher Potts, Matei Zaharia, Christopher D. Manning
Hindsight: Posterior-guided training of retrievers for improved open-ended generation. CoRR (2021)
Abigail See, Christopher D. Manning
Understanding and predicting user dissatisfaction in a neural generative chatbot. SIGDIAL (2021)
Eric Mitchell, Chelsea Finn, Christopher D. Manning
Challenges of Acquiring Compositional Inductive Biases via Meta-Learning. MetaDL@AAAI (2021)
Peng Qi, Haejun Lee, Tg Sido, Christopher D. Manning
Answering Open-Domain Questions of Varying Reasoning Steps from Text. EMNLP (1) (2021)
Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei, Christopher D. Manning
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering. CoRR (2021)
Yuta Koreeda, Christopher D. Manning
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts. CoRR (2021)
Yuta Koreeda, Christopher D. Manning
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts. EMNLP (Findings) (2021)
Kaylee Burns, Christopher D. Manning, Li Fei-Fei
Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning. CoRR (2021)
Yuhao Zhang, Yuhui Zhang, Peng Qi, Christopher D. Manning, Curtis P. Langlotz
Biomedical and clinical English model packages for the Stanza Python NLP library. J. Am. Medical Informatics Assoc. 28 (9) (2021)
Jenny Hong, Derek Chong, Christopher D. Manning
Learning from Limited Labels for Long Legal Dialogue. NLLP@EMNLP (2021)
Yuta Koreeda, Christopher D. Manning
Capturing Logical Structure of Visually Structured Documents with Multimodal Transition Parser. CoRR (2021)
Haojun Li, Dilara Soylu, Christopher D. Manning
Large-Scale Quantitative Evaluation of Dialogue Agents' Response Strategies against Offensive Users. SIGDIAL (2021)
Haejun Lee, Akhil Kedia, Jongwon Lee, Ashwin Paranjape, Christopher D. Manning, Kyoung-Gu Woo
You Only Need One Model for Open-domain Question Answering. CoRR (2021)
Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei, Christopher D. Manning
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering. ACL/IJCNLP (1) (2021)
Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning
Fast Model Editing at Scale. CoRR (2021)
Marie-Catherine de Marneffe, Christopher D. Manning, Joakim Nivre, Daniel Zeman
Universal Dependencies. Comput. Linguistics 47 (2) (2021)
Shikhar Murty, Tatsunori Hashimoto, Christopher D. Manning
DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference. NAACL-HLT (2021)
John Hewitt, Kawin Ethayarajh, Percy Liang, Christopher D. Manning
Conditional probing: measuring usable information beyond a baseline. CoRR (2021)
John Hewitt, Kawin Ethayarajh, Percy Liang, Christopher D. Manning
Conditional probing: measuring usable information beyond a baseline. EMNLP (1) (2021)
Yuta Koreeda, Christopher D. Manning
Capturing Logical Structure of Visually Structured Documents with Multimodal Transition Parser. NLLP@EMNLP (2021)
Ethan A. Chi, John Hewitt, Christopher D. Manning
Finding Universal Grammatical Relations in Multilingual BERT. CoRR (2020)
Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, Christopher D. Manning
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages. ACL (demo) (2020)
Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning
Pre-Training Transformers as Energy-Based Cloze Models. EMNLP (1) (2020)
Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. CoRR (2020)
Yuhao Zhang, Hang Jiang, Yasuhide Miura, Christopher D. Manning, Curtis P. Langlotz
Contrastive Learning of Medical Visual Representations from Paired Images and Text. CoRR (2020)
Peng Qi, Haejun Lee, Oghenetegiri "TG" Sido, Christopher D. Manning
Retrieve, Rerank, Read, then Iterate: Answering Open-Domain Questions of Arbitrary Complexity from Text. CoRR (2020)
Haejun Lee, Drew A. Hudson, Kangwook Lee, Christopher D. Manning
SLM: Learning a Discourse Language Representation with Sentence Unshuffling. CoRR (2020)
Harm de Vries, Dzmitry Bahdanau, Christopher D. Manning
Towards Ecologically Valid Research on Language User Interfaces. CoRR (2020)
Kaustubh D. Dhole, Christopher D. Manning
Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation. ACL (2020)
John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning
RNNs can generate bounded hierarchical languages with optimal memory. CoRR (2020)
John Hewitt, Michael Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning
RNNs can generate bounded hierarchical languages with optimal memory. EMNLP (1) (2020)
Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning
Pre-Training Transformers as Energy-Based Cloze Models. CoRR (2020)
Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. ICLR (2020)
Benjamin Newman, John Hewitt, Percy Liang, Christopher D. Manning
The EOS Decision and Length Extrapolation. CoRR (2020)
Haejun Lee, Drew A. Hudson, Kangwook Lee, Christopher D. Manning
SLM: Learning a Discourse Language Representation with Sentence Unshuffling. EMNLP (1) (2020)
Christopher D. Manning, Kevin Clark, John Hewitt, Urvashi Khandelwal, Omer Levy
Emergent linguistic structure in artificial neural networks trained by self-supervision. Proc. Natl. Acad. Sci. USA 117 (48) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christopher D. Manning