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Christopher D. Manning

  1. On the Opportunities and Risks of Foundation Models
    2021/08/16 by Rishi Bommasani, Drew A. Hudson, Bommasani, Rishi +233 · 11 voices · 547 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Topic Modeling
  2. Direct Preference Optimization: Your Language Model is Secretly a Reward Model
    2023/05/29 by Rafael Rafailov, Rafailov, Rafael, Archit Sharma +9 · 9 voices · 1561 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech and dialogue systems
  3. Cognitive Constraint Simulation and the Geometry of Human Authorship: A First-Principles Theory of AI Text Detection
    2023/01/26 by Eric Mitchell, Yoonho Lee, Mitchell, Eric +7 · 4 voices · 110 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Hate Speech and Cyberbullying Detection
  4. Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
    2020/03/16 by Peng Qi, Qi, Peng, Yuhao Zhang +7 · 2 voices · 59 citations
    #cs.CL
  5. What Does BERT Look At? An Analysis of BERT's Attention
    2019/06/11 by Kevin Clark, Clark, Kevin, Urvashi Khandelwal +5 · 2 voices · 74 citations
    #cs.CL
  6. HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
    2018/09/25 by Zhilin Yang, Yang, Zhilin, Peng Qi +11 · 613 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Software Engineering Research
  7. Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
    2025/10/01 by Jiayi Zhang, Simon C.H. Yu, Simon Yu +12 · 14 voices · 12 citations
    Immunology and Microbiology · #Biosimilars and Bioanalytical Methods #cs.AI #cs.CL
  8. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
    2022/06/09 by Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448 · 3 voices · 136 citations
    #cs.CL #cs.AI #cs.CY #cs.LG #stat.ML
  9. ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
    2020/03/23 by Kevin B. Clark, Kevin Clark, Minh-Thang Luong +6 · 3 voices · 26 citations
    Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.CL
  10. Mapping the Increasing Use of LLMs in Scientific Papers
    2024/04/01 by Weixin Liang, Yaohui Zhang, Liang, Weixin +27 · 6 voices · 27 citations
    Computer Science · Social Sciences · #cs.CL #cs.AI #cs.DL #cs.LG #cs.SI
  11. A large annotated corpus for learning natural language inference
    2015/08/21 by Samuel R. Bowman, Gabor Angeli, Bowman, Samuel R. +5 · 177 citations
    Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Natural Language Processing Techniques
  12. Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback
    2023/05/24 by Katherine Tian, Tian, Katherine, Eric Mitchell +13 · 116 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Topic Modeling
  13. Effective Approaches to Attention-based Neural Machine Translation
    2015/08/17 by Minh-Thang Luong, Hieu Pham, Luong, Minh-Thang +3 · 55 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  14. Contrastive Learning of Medical Visual Representations from Paired Images and Text
    2020/10/02 by Yuhao Zhang, Hang Jiang, Zhang, Yuhao +7 · 61 citations
    Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  15. Universal Dependencies
    2021/03/29 by Marie-Catherine de Marneffe, Christopher D. Manning, Joakim Nivre +1 · 1 voice · 26 citations
    Computer Science · Arts and Humanities · Social Sciences · #Natural Language Processing Techniques #Syntax, Semantics, Linguistic Variation #Language and cultural evolution
  16. RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
    2024/01/31 by Parth Sarthi, Sarthi, Parth, Salman Abdullah +9 · 91 citations
    Computer Science · #Semantic Web and Ontologies #Data Management and Algorithms #Topic Modeling
  17. Fast Model Editing at Scale
    2021/10/21 by Eric Mitchell, Mitchell, Eric, Charles Lin +7 · 47 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Topic Modeling
  18. ReFT: Representation Finetuning for Language Models
    2024/04/04 by Zhengxuan Wu, Aryaman Arora, Wu, Zhengxuan +11 · 1 voice · 24 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG
  19. Memory-Based Model Editing at Scale
    2022/06/13 by Eric Mitchell, Charles P. Lin, Mitchell, Eric +7 · 38 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning in Healthcare #Natural Language Processing Techniques #Topic Modeling
  20. Grokking of Hierarchical Structure in Vanilla Transformers
    2023/05/30 by Shikhar Murty, Pratyusha Sharma, Murty, Shikhar +5 · 1 voice · 7 citations
    Computer Science · #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling #cs.CL
  21. Improved Semantic Representations From Tree-Structured Long Short-Term\n Memory Networks
    2015/02/28 by Kai Sheng Tai, Richard Socher, Tai, Kai Sheng +3 · 15 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  22. NNetNav: Unsupervised Learning of Browser Agents Through Environment Interaction in the Wild
    2024/10/03 by Shikhar Murty, Hao Zhu, Murty, Shikhar +5 · 2 voices · 12 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.CL
  23. AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders
    2025/01/28 by Zhengxuan Wu, Aryaman Arora, Wu, Zhengxuan +13 · 1 voice · 40 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #I.2.7 #Machine Learning (cs.LG)
  24. ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts
    2021/10/05 by Yuta Koreeda, Christopher D. Manning, Koreeda, Yuta +1 · 18 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  25. AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
    2024/10/04 by Wenhao Chai, Enxin Song, Chai, Wenhao +15 · 33 citations
    Computer Science · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Video Analysis and Summarization
  26. Quantifying large language model usage in scientific papers
    2025/08/04 by Weixin Liang, Yaohui Zhang, Zhengxuan Wu +11 · 1 voice · 32 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Topic Modeling #Natural Language Processing Techniques #Biomedical Text Mining and Ontologies
  27. Fine-tuning Language Models for Factuality
    2023/11/14 by Katherine Tian, Tian, Katherine, Eric Mitchell +7 · 18 citations
    Computer Science · Medicine · #Topic Modeling #Natural Language Processing Techniques #Artificial Intelligence in Healthcare and Education
  28. Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset
    2022/07/01 by Peter Henderson, Mark Krass, Henderson, Peter +11 · 11 citations
    Social Sciences · #Artificial Intelligence in Law #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences
  29. Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
    2018/09/26 by Yuhao Zhang, Peng Qi, Zhang, Yuhao +3 · 6 citations
    Computer Science · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  30. Learning by Abstraction: The Neural State Machine
    2019/07/09 by Drew A. Hudson, Hudson, Drew A., Christopher D. Manning +1 · 8 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  31. MoEUT: Mixture-of-Experts Universal Transformers
    2024/05/25 by Róbert Csordás, Kazuki Irie, Csordás, Róbert +7 · 13 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Semantic Web and Ontologies
  32. Towards Ecologically Valid Research on Language User Interfaces
    2020/07/28 by Harm de Vries, de Vries, Harm, Dzmitry Bahdanau +3 · 8 citations
    Computer Science · #Topic Modeling #Multimodal Machine Learning Applications #Natural Language Processing Techniques
  33. Improving Coreference Resolution by Learning Entity-Level Distributed\n Representations
    2016/06/04 by Kevin Clark, Christopher D. Manning, Clark, Kevin +1 · 4 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  34. An Emulator for Fine-Tuning Large Language Models using Small Language Models
    2023/10/19 by Eric Mitchell, Mitchell, Eric, Rafael Rafailov +7 · 8 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
  35. Synthetic Disinformation Attacks on Automated Fact Verification Systems
    2022/02/18 by Yibing Du, Antoine Bosselut, Du, Yibing +3 · 5 citations
    Computer Science · Social Sciences · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #FOS: Computer and information sciences #Misinformation and Its Impacts
  36. BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text
    2024/03/27 by Elliot Bolton, Bolton, Elliot, Abhinav Venigalla +19 · 8 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Topic Modeling
  37. Achieving Open Vocabulary Neural Machine Translation with Hybrid\n Word-Character Models
    2016/04/04 by Minh-Thang Luong, Christopher D. Manning, Luong, Minh-Thang +1 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  38. Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models
    2022/11/27 by Peter Henderson, Henderson, Peter, Eric Mitchell +7 · 5 citations
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  39. pyvene: A Library for Understanding and Improving PyTorch Models via Interventions
    2024/03/12 by Zhengxuan Wu, Atticus Geiger, Wu, Zhengxuan +13 · 7 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software System Performance and Reliability
  40. Do Language Models Use Their Depth Efficiently?
    2025/05/20 by Róbert Csordás, Christopher D. Manning, Csordás, Róbert +3 · 13 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
  41. Thoughtbubbles: an Unsupervised Method for Parallel Thinking in Latent Space
    2025/09/30 by Houjun Liu, Shikhar Murty, Liu, Houjun +5 · 2 voices · 2 citations
    Computer Science · Psychology · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Educational Games and Gamification #Educational Tools and Methods #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  42. Answering Open-Domain Questions of Varying Reasoning Steps from Text
    2020/10/23 by Peng Qi, Haejun Lee, Qi, Peng +5 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  43. Human Language Understanding & Reasoning
    2022/01/01 by Christopher D. Manning · 3 citations
  44. Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations
    2024/08/20 by Róbert Csordás, Csordás, Róbert, Christopher Potts +5 · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
  45. Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports
    2019/11/06 by Yuhao Zhang, Zhang, Yuhao, Derek Merck +7 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  46. Text to 3D Scene Generation with Rich Lexical Grounding
    2015/05/23 by Will Monroe, Chang, Angel, Monroe, Will +6 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Graphics (cs.GR) #Handwritten Text Recognition Techniques #Multimodal Machine Learning Applications #Natural Language Processing Techniques
  47. Robust Subgraph Generation Improves Abstract Meaning Representation\n Parsing
    2015/06/09 by Keenon Werling, Werling, Keenon, Gabor Angeli +3 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  48. Learning to Summarize Radiology Findings
    2018/09/12 by Yuhao Zhang, Zhang, Yuhao, Daisy Yi Ding +7 · 2 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Topic Modeling #Natural Language Processing Techniques #Biomedical Text Mining and Ontologies
  49. Human-like informative conversations: Better acknowledgements using\n conditional mutual information
    2021/04/15 by Ashwin Paranjape, Christopher D. Manning, Paranjape, Ashwin +1 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
  50. Pushdown Layers: Encoding Recursive Structure in Transformer Language Models
    2023/10/29 by Shikhar Murty, Pratyusha Sharma, Murty, Shikhar +5 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  51. Recursive Neural Networks Can Learn Logical Semantics
    2014/06/06 by Samuel R. Bowman, Christopher Potts, Bowman, Samuel R. +3 · 1 voice
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #cs.CL #cs.LG #cs.NE
  52. Detecting Label Errors by using Pre-Trained Language Models
    2022/05/25 by Derek Chong, Jenny Hong, Chong, Derek +3 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  53. When can I Speak? Predicting initiation points for spoken dialogue agents
    2022/08/07 by Siyan Li, Ashwin Paranjape, Li, Siyan +3 · 1 citation
    Computer Science · #Speech and dialogue systems #Topic Modeling #Natural Language Processing Techniques
  54. Characterizing Intrinsic Compositionality in Transformers with Tree Projections
    2022/11/02 by Shikhar Murty, Murty, Shikhar, Pratyusha Sharma +5 · 1 citation
    Computer Science · Neuroscience · #Natural Language Processing Techniques #Topic Modeling #Neurobiology of Language and Bilingualism
  55. Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations
    2020/08/27 by Ashwin Paranjape, Abigail See, Paranjape, Ashwin +17 · 3 citations
    Computer Science · Psychology · #AI in Service Interactions #Action Observation and Synchronization #Artificial Intelligence (cs.AI) #Child and Animal Learning Development #Computation and Language (cs.CL) #FOS: Computer and information sciences
  56. LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain
    2024/04/02 by Joel Niklaus, Lucia Zheng, Niklaus, Joel +17 · 1 citation
    Social Sciences · #68T50 #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #Comparative and International Law Studies #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2 #Legal Education and Practice Innovations #Machine Learning (cs.LG)