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Christopher Potts

  1. On the Opportunities and Risks of Foundation Models
    2021/08/16 by Rishi Bommasani, Drew A. Hudson, Bommasani, Rishi +233 · 11 voices · 537 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 · 70 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. 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 · 131 citations
    #cs.CL #cs.AI #cs.CY #cs.LG #stat.ML
  4. Mission: Impossible Language Models
    2024/01/12 by Julie Kallini, Kallini, Julie, Isabel Papadimitriou +7 · 7 voices · 6 citations
    Computer Science · #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling #cs.AI #cs.CL #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 · 27 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 · 172 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, Santhanam, Keshav, Omar Khattab +7 · 2 voices · 66 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Information Retrieval and Search Behavior
  8. DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
    2023/10/05 by Omar Khattab, Arnav Singhvi, Khattab, Omar +23 · 120 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Software Engineering Research
  9. 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
  10. Base Models Beat Aligned Models at Randomness and Creativity
    2025/04/30 by Peter West, West, Peter, Christopher Potts +1 · 5 voices · 11 citations
    #cs.CL
  11. Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
    2022/12/28 by Omar Khattab, Khattab, Omar, Keshav Santhanam +11 · 36 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
  12. Causal Abstractions of Neural Networks
    2021/06/06 by Atticus Geiger, Geiger, Atticus, Hanson Lu +5 · 25 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
  13. Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs
    2024/06/17 by Krista Opsahl-Ong, Michael J. Ryan, Opsahl-Ong, Krista +11 · 44 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
  14. 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 · 14 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)
  15. AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders
    2025/01/28 by Zhengxuan Wu, Wu, Zhengxuan, Aryaman Arora +13 · 1 voice · 38 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)
  16. Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations
    2023/03/05 by Atticus Geiger, Zhengxuan Wu, Geiger, Atticus +7 · 17 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Bayesian Modeling and Causal Inference
  17. Quantifying large language model usage in scientific papers
    2025/08/04 by Weixin Liang, Yaohui Zhang, Zhengxuan Wu +11 · 1 voice · 31 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Topic Modeling #Natural Language Processing Techniques #Biomedical Text Mining and Ontologies
  18. RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations
    2024/02/27 by Jing Huang, Zhengxuan Wu, Huang, Jing +7 · 12 citations
    Computer Science · #Natural Language Processing Techniques
  19. Rigorously Assessing Natural Language Explanations of Neurons
    2023/09/19 by Jing Huang, Atticus Geiger, Huang, Jing +7 · 2 voices · 6 citations
    #cs.CL
  20. MoEUT: Mixture-of-Experts Universal Transformers
    2024/05/25 by Róbert Csordás, Kazuki Irie, Csordás, Róbert +7 · 12 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
  21. Inducing Causal Structure for Interpretable Neural Networks
    2021/12/01 by Atticus Geiger, Zhengxuan Wu, Geiger, Atticus +13 · 5 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Topic Modeling #Bayesian Modeling and Causal Inference
  22. Interpretability at Scale: Identifying Causal Mechanisms in Alpaca
    2023/05/15 by Zhengxuan Wu, Atticus Geiger, Wu, Zhengxuan +6 · 7 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Topic Modeling
  23. Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
    2024/08/12 by Karel D’Oosterlinck, Winnie Xu, D'Oosterlinck, Karel +13 · 10 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
  24. Demystifying Verbatim Memorization in Large Language Models
    2024/07/25 by Jing Huang, Huang, Jing, Diyi Yang +3 · 10 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Speech and dialogue systems
  25. Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together
    2024/07/15 by Dilara Soylu, Soylu, Dilara, Christopher Potts +3 · 9 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
  26. Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking
    2021/05/21 by Zhiyi Ma, Ma, Zhiyi, Kawin Ethayarajh +15 · 4 citations
    Computer Science · #Topic Modeling #Software Engineering Research #Explainable Artificial Intelligence (XAI)
  27. 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
  28. Do Language Models Use Their Depth Efficiently?
    2025/05/20 by Róbert Csordás, Csordás, Róbert, Christopher D. Manning +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
  29. 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)
  30. Improving Pretraining Data Using Perplexity Correlations
    2024/09/09 by Tristan Thrush, Thrush, Tristan, Christopher Potts +3 · 6 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
  31. DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines
    2023/12/20 by Arnav Singhvi, Manish Shetty, Singhvi, Arnav +11 · 4 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
  32. Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval
    2021/01/02 by Omar Khattab, Khattab, Omar, Christopher Potts +3 · 3 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
  33. Causal Interventions Reveal Shared Structure Across English Filler-Gap Constructions
    2025/05/21 by Sasha Boguraev, Christopher Potts, Boguraev, Sasha +3 · 1 voice · 5 citations
    #cs.CL #cs.AI
  34. The expressive dimension
    2007/10/16 by Christopher Potts · 1 citation
  35. 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
  36. Bayesian scaling laws for in-context learning
    2024/10/21 by Aryaman Arora, Arora, Aryaman, Dan Jurafsky +5 · 4 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)
  37. Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention
    2026/05/28 by Jing Huang, Daniel Wurgaft, Rachit Bansal +6 · 3 voices
    #cs.LG
  38. Exploiting Social Network Structure for Person-to-Person Sentiment\n Analysis
    2014/09/08 by Robert West, West, Robert, Hristo S. Paskov +5 · 1 citation
    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. TalkDown: A Corpus for Condescension Detection in Context
    2019/09/25 by Zijian Wang, Christopher Potts, Wang, Zijian +1 · 1 citation
    Computer Science · Arts and Humanities · #Topic Modeling #Natural Language Processing Techniques #Discourse Analysis in Language Studies
  40. Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP
    2021/04/17 by Joshua Rozner, Christopher Potts, Rozner, Josh +3 · 1 citation
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Authorship Attribution and Profiling
  41. 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
  42. A Reply to Makelov et al. (2023)'s "Interpretability Illusion" Arguments
    2024/01/23 by Zhengxuan Wu, Wu, Zhengxuan, Atticus Geiger +11 · 1 voice · 1 citation
    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
  43. Blackbox Model Provenance via Palimpsestic Membership Inference
    2025/10/22 by Rohith Kuditipudi, Kuditipudi, Rohith, Jing Huang +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
  44. HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks
    2025/03/13 by Jiuding Sun, Jing Huang, Sun, Jiuding +11 · 1 citation
    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)