vix.ing · top · new · best · stats · spec

Kalai, Adam Tauman

  1. Layer-0 Suppressors Ground Hallucination Inevitability: A Mechanistic Account of How Transformers Trade Factuality for Hedging
    2025/09/04 by Adam Tauman Kalai, Ofir Nachum, Kalai, Adam Tauman +5 · 78 voices · 76 citations
    Computer Science · #Topic Modeling
  2. Textbooks Are All You Need
    2023/06/20 by Suriya Gunasekar, Gunasekar, Suriya, Yi Zhang +35 · 11 voices · 55 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
  3. Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation
    2023/10/03 by Eric Zelikman, Eliana Lorch, Zelikman, Eric +5 · 4 voices · 14 citations
    Computer Science · #Parallel Computing and Optimization Techniques #Machine Learning and Data Classification #Software Testing and Debugging Techniques
  4. Programming Puzzles
    2021/06/10 by Tal Schuster, Ashwin Kalyan, Schuster, Tal +5 · 4 voices · 1 citation
    Computer Science · #Software Engineering Research #Software Testing and Debugging Techniques #Teaching and Learning Programming #cs.AI #cs.CL #cs.LG #cs.PL #cs.SE
  5. Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
    2022/08/18 by Gati Aher, Rosa I. Arriaga, Aher, Gati +3 · 75 citations
    Computer Science · Social Sciences · #Topic Modeling #Explainable Artificial Intelligence (XAI) #Misinformation and Its Impacts
  6. Online convex optimization in the bandit setting: gradient descent without a gradient
    2004/08/02 by Abraham D. Flaxman, Adam Tauman Kalai, Flaxman, Abraham D. +3 · 30 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Computational Complexity (cs.CC) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Optimization and Search Problems #Stochastic Gradient Optimization Techniques #cs.CC #cs.LG
  7. Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding
    2024/01/23 by Mirac Süzgün, Mirac Suzgun, Suzgun, Mirac +2 · 2 voices · 23 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Human-Computer Interaction (cs.HC) #Topic Modeling #cs.AI #cs.CL #cs.HC
  8. Language Models Can Teach Themselves to Program Better
    2022/07/29 by Patrick Haluptzok, Haluptzok, Patrick, Matthew Bowers +4 · 1 voice · 7 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Software Engineering Research
  9. Efficient Learning of Generalized Linear and Single Index Models with\n Isotonic Regression
    2011/04/11 by Sham M. Kakade, Adam Tauman Kalai, Kakade, Sham +5 · 15 citations
    Mathematics · Computer Science · #Statistical Methods and Inference #Bayesian Modeling and Causal Inference #Bayesian Methods and Mixture Models
  10. Calibrated Language Models Must Hallucinate
    2023/11/24 by Adam Tauman Kalai, Kalai, Adam Tauman, Santosh Vempala +1 · 23 citations
    Engineering · Computer Science · #Ferroelectric and Negative Capacitance Devices #Topic Modeling #Computability, Logic, AI Algorithms
  11. Do Language Models Know When They're Hallucinating References?
    2023/05/29 by Ayush Agrawal, Agrawal, Ayush, Suzgun, Mirac +4 · 12 citations
    Computer Science · Engineering · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Misinformation and Its Impacts #Topic Modeling
  12. Omnipredictors
    2021/09/11 by Gopalan, Parikshit, Kalai, Adam Tauman, Reingold, Omer +2 · 9 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. Loss Minimization Yields Multicalibration for Large Neural Networks
    2023/04/19 by Jarosław Błasiok, Błasiok, Jarosław, Parikshit Gopalan +7 · 1 voice · 5 citations
    #cs.LG #cs.AI #stat.ML
  14. A Theory of Unsupervised Translation Motivated by Understanding Animal Communication
    2022/11/20 by Shafi Goldwasser, David F. Gruber, Goldwasser, Shafi +5 · 1 voice · 2 citations
    Computer Science · #Natural Language Processing Techniques #cs.CL #cs.LG
  15. Testing Language Model Agents Safely in the Wild
    2023/11/17 by Silen Naihin, Naihin, Silen, David Atkinson +13 · 6 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation #Topic Modeling
  16. The Singapore Consensus on Global AI Safety Research Priorities
    2025/06/25 by Yoshua Bengio, Tegan Maharaj, Bengio, Yoshua +171 · 2 voices · 8 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #cs.AI #cs.CY
  17. Decision trees are PAC-learnable from most product distributions: a smoothed analysis
    2008/12/04 by Kalai, Adam Tauman, Teng, Shang-Hua · 1 citation
    #Computational Complexity (cs.CC) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. Dueling Algorithms
    2011/01/14 by Immorlica, Nicole, Kalai, Adam Tauman, Lucier, Brendan +3 · 1 citation
    #Computer Science and Game Theory (cs.GT) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences
  19. First-Person Fairness in Chatbots
    2024/10/16 by Tyna Eloundou, Eloundou, Tyna, Alex Beutel +17 · 4 citations
    Social Sciences · #Ethics and Social Impacts of AI #Digital Economy and Work Transformation
  20. Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons
    2015/03/31 by Zou, James Y., Chaudhuri, Kamalika, Kalai, Adam Tauman · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  21. Decoupled classifiers for fair and efficient machine learning
    2017/07/20 by Dwork, Cynthia, Immorlica, Nicole, Kalai, Adam Tauman +1 · 1 citation
    #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. Learning to Prune: Speeding up Repeated Computations
    2019/04/26 by Alabi, Daniel, Kalai, Adam Tauman, Ligett, Katrina +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  23. Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples
    2020/07/10 by Goldwasser, Shafi, Kalai, Adam Tauman, Kalai, Yael Tauman +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  24. Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms
    2022/09/01 by Goel, Surbhi, Kakade, Sham, Kalai, Adam Tauman +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  25. Consensus Sampling for Safer Generative AI
    2025/11/12 by Adam Tauman Kalai, Kalai, Adam Tauman, Yael Tauman Kalai +3 · 1 citation
    Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Ethics and Social Impacts of AI