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Potts, Christopher

  1. On the Opportunities and Risks of Foundation Models
    2021/08/16 by Rishi Bommasani, Bommasani, Rishi, Drew A. Hudson +233 · 11 voices · 719 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Topic Modeling
  2. GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
    2025/04/27 by Lakshya A Agrawal, Shangyin Tan, Agrawal, Lakshya A +33 · 7 voices · 71 citations
    Computer Science · #Machine Learning and Data Classification #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #cs.AI #cs.CL #cs.LG #cs.SE
  3. Mission: Impossible Language Models
    2024/01/12 by Julie Kallini, Isabel Papadimitriou, Kallini, Julie +7 · 7 voices · 6 citations
    Computer Science · #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling #cs.AI #cs.CL #cs.LG
  4. DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
    2023/10/05 by Omar Khattab, Khattab, Omar, Arnav Singhvi +23 · 1 voice · 165 citations
    Computer Science · #Natural Language Processing Techniques #Software Engineering Research #Topic Modeling #cs.AI #cs.CL #cs.IR #cs.LG
  5. Mapping the Increasing Use of LLMs in Scientific Papers
    2024/04/01 by Weixin Liang, Yaohui Zhang, Liang, Weixin +27 · 6 voices · 31 citations
    Computer Science · Social Sciences · #cs.CL #cs.AI #cs.DL #cs.LG #cs.SI
  6. A large annotated corpus for learning natural language inference
    2015/08/21 by Samuel R. Bowman, Gabor Angeli, Bowman, Samuel R. +5 · 237 citations
    Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Natural Language Processing Techniques
  7. ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction
    2021/12/02 by Keshav Santhanam, Omar Khattab, Santhanam, Keshav +7 · 2 voices · 90 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Information Retrieval and Search Behavior
  8. ReFT: Representation Finetuning for Language Models
    2024/04/04 by Zhengxuan Wu, Wu, Zhengxuan, Aryaman Arora +11 · 1 voice · 34 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG
  9. Dynabench: Rethinking Benchmarking in NLP
    2021/04/07 by Kiela, Douwe, Bartolo, Max, Nie, Yixin +16 · 45 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  10. Causal Abstractions of Neural Networks
    2021/06/06 by Atticus Geiger, Hanson Lu, Geiger, Atticus +5 · 43 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  11. Base Models Beat Aligned Models at Randomness and Creativity
    2025/04/30 by Peter West, West, Peter, Christopher Potts +1 · 5 voices · 14 citations
    #cs.CL
  12. Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
    2022/12/28 by Omar Khattab, Keshav Santhanam, Khattab, Omar +11 · 52 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  13. Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability
    2023/01/11 by Atticus Geiger, Geiger, Atticus, Ibeling, Duligur +9 · 42 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
  14. MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
    2023/05/24 by Zhong, Zexuan, Wu, Zhengxuan, Manning, Christopher D. +2 · 42 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  15. Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs
    2024/06/17 by Krista Opsahl-Ong, Opsahl-Ong, Krista, Michael J. Ryan +11 · 59 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model-Driven Software Engineering Techniques #Natural Language Processing Techniques #Topic Modeling
  16. A Computational Approach to Politeness with Application to Social\n Factors
    2013/06/25 by Cristian Danescu-Niculescu-Mizil, Danescu-Niculescu-Mizil, Cristian, Moritz Sudhof +7 · 19 citations
    Arts and Humanities · Computer Science · #Computation and Language (cs.CL) #Discourse Analysis in Language Studies #FOS: Computer and information sciences #FOS: Physical sciences #Hate Speech and Cyberbullying Detection #I.2.7 #Language, Discourse, Communication Strategies #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  17. ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems
    2023/11/16 by Jon Saad-Falcon, Omar Khattab, Saad-Falcon, Jon +5 · 42 citations
    Engineering · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Power Systems and Technologies
  18. MoEUT: Mixture-of-Experts Universal Transformers
    2024/05/25 by Róbert Csordás, Csordás, Róbert, Kazuki Irie +7 · 3 voices · 15 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 #cs.AI #cs.LG #cs.NE
  19. Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations
    2023/03/05 by Atticus Geiger, Geiger, Atticus, Zhengxuan Wu +7 · 28 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Bayesian Modeling and Causal Inference
  20. PLAID: An Efficient Engine for Late Interaction Retrieval
    2022/05/19 by Santhanam, Keshav, Khattab, Omar, Potts, Christopher +1 · 23 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  21. AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders
    2025/01/28 by Zhengxuan Wu, Wu, Zhengxuan, Aryaman Arora +13 · 1 voice · 49 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)
  22. Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding
    2017/03/29 by Monroe, Will, Hawkins, Robert X. D., Goodman, Noah D. +1 · 8 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  23. Inducing Causal Structure for Interpretable Neural Networks
    2021/12/01 by Atticus Geiger, Zhengxuan Wu, Geiger, Atticus +13 · 11 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Topic Modeling #Bayesian Modeling and Causal Inference
  24. RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations
    2024/02/27 by Jing Huang, Zhengxuan Wu, Huang, Jing +7 · 19 citations
    Computer Science · #Natural Language Processing Techniques
  25. Interpretability at Scale: Identifying Causal Mechanisms in Alpaca
    2023/05/15 by Zhengxuan Wu, Atticus Geiger, Wu, Zhengxuan +6 · 12 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Topic Modeling
  26. Rigorously Assessing Natural Language Explanations of Neurons
    2023/09/19 by Jing Huang, Atticus Geiger, Huang, Jing +7 · 2 voices · 8 citations
    #cs.CL
  27. Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking
    2021/05/21 by Zhiyi Ma, Ma, Zhiyi, Kawin Ethayarajh +15 · 7 citations
    Computer Science · #Topic Modeling #Software Engineering Research #Explainable Artificial Intelligence (XAI)
  28. Demystifying Verbatim Memorization in Large Language Models
    2024/07/25 by Jing Huang, Huang, Jing, Diyi Yang +3 · 16 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Speech and dialogue systems
  29. pyvene: A Library for Understanding and Improving PyTorch Models via Interventions
    2024/03/12 by Zhengxuan Wu, Wu, Zhengxuan, Atticus Geiger +13 · 13 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software System Performance and Reliability
  30. Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together
    2024/07/15 by Dilara Soylu, Christopher Potts, Soylu, Dilara +3 · 15 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Embedded Systems Design Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Systems Engineering Methodologies and Applications
  31. Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
    2024/08/12 by Karel D’Oosterlinck, Winnie Xu, D'Oosterlinck, Karel +13 · 13 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Logic, Reasoning, and Knowledge #Machine Learning (cs.LG) #Semantic Web and Ontologies
  32. Text to 3D Scene Generation with Rich Lexical Grounding
    2015/05/23 by Chang, Angel, Will Monroe, Monroe, Will +6 · 4 citations
    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
  33. Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval
    2021/01/02 by Omar Khattab, Khattab, Omar, Christopher Potts +3 · 5 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
  34. Improving Pretraining Data Using Perplexity Correlations
    2024/09/09 by Tristan Thrush, Thrush, Tristan, Christopher Potts +3 · 10 citations
    Computer Science · #Computation and Language (cs.CL) #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  35. Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations
    2024/08/20 by Róbert Csordás, Csordás, Róbert, Christopher Potts +5 · 11 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)
  36. ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation
    2023/03/24 by Zhengxuan Wu, Christopher D. Manning, Wu, Zhengxuan +3 · 5 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Semantic Web and Ontologies
  37. Do Language Models Use Their Depth Efficiently?
    2025/05/20 by Róbert Csordás, Csordás, Róbert, Christopher D. Manning +3 · 17 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
  38. Exploiting Social Network Structure for Person-to-Person Sentiment\n Analysis
    2014/09/08 by Robert West, Hristo S. Paskov, West, Robert +5 · 3 citations
    Computer Science · Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Physical sciences #Misinformation and Its Impacts #Physics and Society (physics.soc-ph) #Sentiment Analysis and Opinion Mining #Social and Information Networks (cs.SI) #Topic Modeling
  39. DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines
    2023/12/20 by Arnav Singhvi, Manish Shetty, Singhvi, Arnav +11 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Programming Languages (cs.PL) #Software Engineering Research #Topic Modeling
  40. CausalGym: Benchmarking causal interpretability methods on linguistic tasks
    2024/02/19 by Arora, Aryaman, Jurafsky, Dan, Potts, Christopher · 6 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7
  41. Relevance-guided Supervision for OpenQA with ColBERT
    2020/07/01 by Khattab, Omar, Potts, Christopher, Zaharia, Matei · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  42. DynaSent: A Dynamic Benchmark for Sentiment Analysis
    2020/12/30 by Potts, Christopher, Wu, Zhengxuan, Geiger, Atticus +1 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  43. MrT5: Dynamic Token Merging for Efficient Byte-level Language Models
    2024/10/28 by Julie Kallini, Shikhar Murty, Kallini, Julie +7 · 9 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  44. Hindsight: Posterior-guided training of retrievers for improved open-ended generation
    2021/10/14 by Paranjape, Ashwin, Khattab, Omar, Potts, Christopher +2 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  45. GIO: Gradient Information Optimization for Training Dataset Selection
    2023/06/20 by Everaert, Dante, Potts, Christopher · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  46. CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
    2022/05/27 by Abraham, Eldar David, D'Oosterlinck, Karel, Feder, Amir +5 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  47. Bayesian scaling laws for in-context learning
    2024/10/21 by Aryaman Arora, Dan Jurafsky, Arora, Aryaman +5 · 6 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Formal Languages and Automata Theory (cs.FL) #I.2.7 #Machine Learning (cs.LG)
  48. A Reply to Makelov et al. (2023)'s "Interpretability Illusion" Arguments
    2024/01/23 by Zhengxuan Wu, Wu, Zhengxuan, Atticus Geiger +11 · 1 voice · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.LG
  49. BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance
    2023/05/22 by D'Oosterlinck, Karel, Remy, François, Deleu, Johannes +7 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  50. Causal Interventions Reveal Shared Structure Across English Filler-Gap Constructions
    2025/05/21 by Sasha Boguraev, Boguraev, Sasha, Christopher Potts +3 · 1 voice · 5 citations
    #cs.CL #cs.AI
  51. A Fast Unified Model for Parsing and Sentence Understanding
    2016/03/19 by Samuel R. Bowman, Bowman, Samuel R., Jon Gauthier +9 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  52. Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP
    2021/04/17 by Joshua Rozner, Rozner, Josh, Christopher Potts +3 · 2 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Authorship Attribution and Profiling
  53. CAW-coref: Conjunction-Aware Word-level Coreference Resolution
    2023/10/09 by D'Oosterlinck, Karel, Bitew, Semere Kiros, Papineau, Brandon +3 · 3 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  54. Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics
    2022/05/21 by Elisa Kreiss, Cynthia L. Bennett, Kreiss, Elisa +9 · 2 citations
    Computer Science · Social Sciences · #Multimodal Machine Learning Applications #Text Readability and Simplification #Digital Accessibility for Disabilities
  55. UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers
    2023/03/01 by Saad-Falcon, Jon, Khattab, Omar, Santhanam, Keshav +6 · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  56. Learning Distributed Word Representations for Natural Logic Reasoning
    2014/10/15 by Bowman, Samuel R., Potts, Christopher, Manning, Christopher D. · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  57. Pragmatically Informative Image Captioning with Character-Level\n Inference
    2018/04/15 by Reuben Cohn-Gordon, Noah D. Goodman, Cohn-Gordon, Reuben +3 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  58. I am a Strange Dataset: Metalinguistic Tests for Language Models
    2024/01/10 by Thrush, Tristan, Moore, Jared, Monares, Miguel +2 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  59. An Incremental Iterated Response Model of Pragmatics
    2018/09/30 by Reuben Cohn-Gordon, Noah D. Goodman, Cohn-Gordon, Reuben +3 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Speech Recognition and Synthesis
  60. Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified Sentences
    2018/10/30 by Geiger, Atticus, Cases, Ignacio, Karttunen, Lauri +1 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  61. TalkDown: A Corpus for Condescension Detection in Context
    2019/09/25 by Zijian Wang, Wang, Zijian, Christopher Potts +1 · 1 citation
    Computer Science · Arts and Humanities · #Topic Modeling #Natural Language Processing Techniques #Discourse Analysis in Language Studies
  62. Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models
    2021/04/17 by Wu, Zhengxuan, Liu, Nelson F., Potts, Christopher · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  63. Recursive Neural Networks Can Learn Logical Semantics
    2014/06/06 by Samuel R. Bowman, Bowman, Samuel R., Christopher Potts +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
  64. WARP: An Efficient Engine for Multi-Vector Retrieval
    2025/01/29 by Scheerer, Jan Luca, Zaharia, Matei, Potts, Christopher +2 · 3 citations
    #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  65. Relational reasoning and generalization using non-symbolic neural networks
    2020/06/14 by Geiger, Atticus, Carstensen, Alexandra, Frank, Michael C. +1 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  66. HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks
    2025/03/13 by Jiuding Sun, Jing Huang, Sun, Jiuding +11 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
  67. Blackbox Model Provenance via Palimpsestic Membership Inference
    2025/10/22 by Rohith Kuditipudi, Jing Huang, Kuditipudi, Rohith +8 · 2 citations
    Computer Science · Decision Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Scientific Computing and Data Management #Topic Modeling
  68. Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors
    2025/05/17 by Huang, Jing, Tao, Junyi, Icard, Thomas +2 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)