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Samuel R. Bowman

  1. AI Supported Degradation of the Self Concept: A Theoretical Framework Grounded in Established Cognitive and Computational Mechanisms
    2023/10/20 by Mrinank Sharma, Meg Tong, Sharma, Mrinank +36 · 10 voices · 226 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Reinforcement Learning in Robotics #Topic Modeling #cs.AI #cs.CL #cs.LG #stat.ML
  2. Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
    2024/01/10 by Evan Hubinger, Carson Denison, Hubinger, Evan +77 · 18 voices · 99 citations
    Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Ethics and Social Impacts of AI #Topic Modeling #cs.AI #cs.CL #cs.CR #cs.LG #cs.SE
  3. Affective Coherence Monitoring for Transformer-Based Language Models
    2022/12/15 by Yuntao Bai, Bai, Yuntao, Saurav Kadavath +102 · 12 voices · 445 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #cs.AI #cs.CL
  4. GPQA: A Graduate-Level Google-Proof Q&A Benchmark
    2023/11/20 by David Rein, David B. Rein, Rein, David +14 · 12 voices · 690 citations
    Computer Science · #cs.AI #cs.CL
  5. Let's Think Dot by Dot: Hidden Computation in Transformer Language Models
    2024/04/24 by Jacob Pfau, William Merrill, Pfau, Jacob +3 · 6 voices · 52 citations
    #cs.CL #cs.AI
  6. 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 · 127 citations
    #cs.CL #cs.AI #cs.CY #cs.LG #stat.ML
  7. Reasoning Models Don't Always Say What They Think
    2025/05/08 by Yanda Chen, Joe Benton, Chen, Yanda +27 · 6 voices · 94 citations
    Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #cs.AI #cs.CL #cs.LG
  8. Kronfluence: Influence Functions with Eigenvalue-corrected Kronecker-Factored Approximate Curvature
    2023/08/07 by Roger Grosse, Juhan Bae, Grosse, Roger +31 · 3 voices · 49 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
  9. A large annotated corpus for learning natural language inference
    2015/08/21 by Samuel R. Bowman, Bowman, Samuel R., Gabor Angeli +5 · 169 citations
    Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Natural Language Processing Techniques
  10. Alignment faking in large language models
    2024/12/18 by Ryan Greenblatt, Greenblatt, Ryan, Carson Denison +38 · 16 voices · 64 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG
  11. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
    2019/05/02 by Alex Wang, Yada Pruksachatkun, Wang, Alex +13 · 143 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  12. Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting
    2023/05/07 by Miles Turpin, Julian Michael, Turpin, Miles +5 · 208 citations
    Computer Science · Materials Science · #Topic Modeling #Explainable Artificial Intelligence (XAI) #Machine Learning in Materials Science
  13. LLM Evaluators Recognize and Favor Their Own Generations
    2024/04/15 by Arjun Panickssery, Samuel R. Bowman, Panickssery, Arjun +3 · 4 voices · 98 citations
    #cs.CL #cs.AI
  14. Measuring Faithfulness in Chain-of-Thought Reasoning
    2023/07/17 by Tamera Lanham, Lanham, Tamera, Anna Chen +59 · 4 voices · 82 citations
    Computer Science · #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI) #Topic Modeling #cs.AI #cs.CL #cs.LG
  15. BBQ: A Hand-Built Bias Benchmark for Question Answering
    2021/10/15 by Alicia Parrish, Parrish, Alicia, Angelica Chen +13 · 104 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Natural Language Processing Techniques #Topic Modeling
  16. Discovering Language Model Behaviors with Model-Written Evaluations
    2022/12/19 by Ethan Perez, Sam Ringer, Perez, Ethan +123 · 120 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Software Engineering Research #Topic Modeling
  17. Language Models Learn to Mislead Humans via RLHF
    2024/09/19 by Jiaxin Wen, Ruiqi Zhong, Wen, Jiaxin +15 · 8 voices · 18 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Topic Modeling
  18. XNLI: Evaluating Cross-lingual Sentence Representations
    2018/09/13 by Alexis Conneau, Guillaume Lample, Conneau, Alexis +11 · 67 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
  19. Eight Things to Know about Large Language Models
    2023/04/02 by Samuel R. Bowman, Bowman, Samuel R. · 4 voices · 8 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Social Media and Politics #cs.AI #cs.CL
  20. Pretraining Language Models with Human Preferences
    2023/02/16 by Tomasz Korbak, Korbak, Tomasz, Kejian Shi +13 · 1 voice · 17 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling #cs.CL #cs.LG
  21. Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming
    2025/01/31 by Mrinank Sharma, Meg Tong, Sharma, Mrinank +89 · 8 voices · 36 citations
    Social Sciences · #Criminal Law and Evidence #Law, Rights, and Freedoms #Legal Systems and Judicial Processes
  22. Debating with More Persuasive LLMs Leads to More Truthful Answers
    2024/02/09 by Akbir Khan, John Hughes, Khan, Akbir +17 · 48 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #Computation and Language (cs.CL) #FOS: Computer and information sciences #Law, AI, and Intellectual Property #Legal Education and Practice Innovations
  23. Inverse Scaling: When Bigger Isn't Better
    2023/06/15 by Ian R. McKenzie, Alexander Lyzhov, Michael Pieler +24 · 1 voice · 19 citations
    Computer Science · #cs.CL #cs.AI #cs.CY
  24. The Capacity for Moral Self-Correction in Large Language Models
    2023/02/15 by Deep Ganguli, Amanda Askell, Ganguli, Deep +100 · 1 voice · 9 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling #cs.CL
  25. Measuring Progress on Scalable Oversight for Large Language Models
    2022/11/04 by Samuel R. Bowman, Bowman, Samuel R., Jeeyoon Hyun +88 · 21 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Multi-Agent Systems and Negotiation #Speech and dialogue systems #Topic Modeling
  26. Instruction Induction: From Few Examples to Natural Language Task Descriptions
    2022/05/22 by Or Honovich, Uri Shaham, Honovich, Or +5 · 15 citations
    Computer Science · #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning and Data Classification #Topic Modeling
  27. QuALITY: Question Answering with Long Input Texts, Yes!
    2021/12/16 by Richard Yuanzhe Pang, Pang, Richard Yuanzhe, Alicia Parrish +19 · 14 citations
    Computer Science · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  28. Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning
    2017/04/23 by Yacine Jernite, Samuel R. Bowman, Jernite, Yacine +3 · 1 voice · 1 citation
    #cs.CL #cs.LG #cs.NE #stat.ML
  29. What Artificial Neural Networks Can Tell Us About Human Language Acquisition
    2022/08/17 by Alex Warstadt, Samuel R. Bowman, Warstadt, Alex +1 · 8 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Speech and dialogue systems
  30. Auditing language models for hidden objectives
    2025/03/14 by Samuel D. Marks, Samuel Marks, Marks, Samuel +71 · 1 voice · 16 citations
    Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #cs.AI #cs.CL #cs.LG
  31. Steering Without Side Effects: Improving Post-Deployment Control of Language Models
    2024/06/21 by Asa Cooper Stickland, Stickland, Asa Cooper, Alexander Lyzhov +7 · 10 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Natural Language Processing Techniques
  32. Can recursive neural tensor networks learn logical reasoning?
    2013/12/21 by Samuel R. Bowman, Bowman, Samuel R. · 1 voice
    #cs.CL #cs.LG
  33. SQuALITY: Building a Long-Document Summarization Dataset the Hard Way
    2022/05/23 by Alex Wang, Wang, Alex, Richard Yuanzhe Pang +7 · 4 citations
    Computer Science · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  34. Question Decomposition Improves the Faithfulness of Model-Generated Reasoning
    2023/07/17 by Ansh Radhakrishnan, Radhakrishnan, Ansh, Karina Nguyen +45 · 5 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
  35. Bias-Augmented Consistency Training Reduces Biased Reasoning in Chain-of-Thought
    2024/03/08 by James Chua, Chua, James, Edward Rees +11 · 6 citations
    Decision Sciences · Computer Science · #Decision-Making and Behavioral Economics #AI in Service Interactions
  36. (QA)2: Question Answering with Questionable Assumptions
    2022/12/20 by Najoung Kim, Phu Mon Htut, Kim, Najoung +5 · 4 citations
    Computer Science · #Topic Modeling #Information Retrieval and Search Behavior #Expert finding and Q&A systems
  37. Debate Helps Supervise Unreliable Experts
    2023/11/15 by Julian Michael, Salsabila Mahdi, Michael, Julian +11 · 4 citations
    Computer Science · #Expert finding and Q&A systems #Topic Modeling #Explainable Artificial Intelligence (XAI)
  38. Verb Argument Structure Alternations in Word and Sentence Embeddings
    2018/11/27 by Katharina Kann, Kann, Katharina, Alex Warstadt +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
  39. Probing What Different NLP Tasks Teach Machines about Function Word Comprehension
    2019/04/25 by Najoung Kim, Kim, Najoung, Roma Patel +21 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  40. Can neural networks acquire a structural bias from raw linguistic data?
    2020/07/14 by Alex Warstadt, Samuel R. Bowman, Warstadt, Alex +1 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
  41. Does Putting a Linguist in the Loop Improve NLU Data Collection?
    2021/04/15 by Alicia Parrish, William C. Huang, Parrish, Alicia +17 · 2 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Mobile Crowdsensing and Crowdsourcing
  42. Two-Turn Debate Doesn't Help Humans Answer Hard Reading Comprehension Questions
    2022/10/19 by Alicia Parrish, Parrish, Alicia, Harsh Trivedi +11 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation #Speech and dialogue systems #Topic Modeling
  43. Investigating BERT's Knowledge of Language: Five Analysis Methods with\n NPIs
    2019/09/05 by Alex Warstadt, Warstadt, Alex, Yu Cao +29 · 1 citation
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Text Readability and Simplification
  44. Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?
    2020/05/01 by Yada Pruksachatkun, Jason Phang, Pruksachatkun, Yada +15 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  45. Spontaneous Reward Hacking in Iterative Self-Refinement
    2024/07/05 by Jane Pan, He He, Pan, Jane +5 · 2 citations
    Computer Science · Engineering · #Advanced Malware Detection Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Manufacturing Process and Optimization #Robot Manipulation and Learning
  46. 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
  47. Can Unconditional Language Models Recover Arbitrary Sentences?
    2019/07/10 by Nishant Subramani, Samuel R. Bowman, Subramani, Nishant +3 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling