Best-of-N Sampling

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2 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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  1. Efficient Best-of-N policy evaluation for inference-time alignment

    Oct 7, 2026Jonas Schweisthal, Yuxin Wang, Athiya Deviyani +2Best-of-N SamplingOff-Policy Evaluation

    LMU Munich & MCML · Carnegie Mellon University · Meta (work in personal capacity)

  2. Holdout Best-of-N: Unbiased Evaluation and Its Cost

    Oct 6, 2026Shrey Shah, Yinheng LiBest-of-N SamplingPolicy Evaluation

  3. Audit the Scaffold, Not the Checkpoint: A Stationarity Dichotomy for Recursive Self-Improvement in Agentic Coding

    Sep 28, 2026Sebastian Bobadilla-Suarez, Bob Suh, Ryan FortinSoftware Engineering AgentsAI Agent Auditing

    OnCorps

  4. Efficient Reasoning Exploration via State-Conditioned Latent Steering with Progress Guidance

    Sep 21, 2026Hengyuan Zhang, Chenming Shang, Zunhai Su +10Best-of-N SamplingInference-Time Guidance

    The University of Hong Kong · University of California, Los Angeles · Arizona State University +3

  5. Evaluator Ensembles Under Reward Hacking: Covariance Geometry and Finite-Search Guarantees

    Aug 8, 2026Fariya Afrin, Ibne Farabi ShihabReward HackingLLM Evaluation

    Department of Computer Science, Kalinga Institute of Industrial Technology · Department of Computer Science, Iowa State University

  6. Stabilized Best-of-KK Training for Neural Combinatorial Optimization

    Jul 31, 2026Melveena Jolly, Midhun XavierTraveling Salesperson ProblemBest-of-N Sampling

    1Independent Researcher

  7. Best-of-Evidence: Best-of-N Selection under Partial Verification

    Jul 23, 2026Cenwei Zhang, Teng Fang, Yuxia Wang +3Model SelectionEvidence-Grounded Reasoning

    IQuest Research · INSAIT · Technical University of Denmark

  8. Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-KK Objective

    Jul 13, 2026Melveena Jolly, Midhun XavierInverse Probability WeightingBest-of-N Sampling

    Independent Researcher

  9. Best-of-NN TTS Evaluation is Confounded by ASR Family Alignment

    Jul 9, 2026Taehyung Yu, Seongjae KangSpeech Generation EvaluationTTS Evaluation

    KAIST, Daejeon, South Korea.

  10. Flash-BoN: Instant Drafts for Inference-Time Scaling in Diffusion Models

    Jul 5, 2026Ruchit Rawal, Reza Shirkavand, Sayak Paul +5Inference-Time ScalingBest-of-N Sampling

    University of Maryland, College Park, MD, USA · Hugging Face, USA

  11. Best-of-Better-NN: Generating Pre-Aligned Responses with In-Context Learning

    Jul 3, 2026Eric Lei, Hsiang Hsu, Chun-Fu ChenLLM AlignmentBest-of-N Sampling

    JPMorganChase Global Technology Applied Research

  12. When More Sampling Hurts: The Modal Ceiling and Correlation Ceiling of Test-Time Scaling

    Jun 27, 2026Yong Yi Bay, Kathleen A. YearickLLM EvaluationSelf-Consistency Decoding

    University of Illinois at Urbana-Champaign

  13. Transition-Aware best-of-N sampling for Longitudinal Chest X-ray Reports

    Jun 23, 2026Halil Ibrahim Gulluk, Max Van Puyvelde, Wim Van Criekinge +1Radiology Report GenerationRadiology VLMs

    Department of Electrical Engineering, Stanford University, Stanford, CA, USA · Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA · Department of Mathematical Modelling, Statistics & Bioinformatics, Ghent University, Ghent, Belgium

  14. Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics

    Jun 2, 2026Luyang Zhang, Jingyan LiLLM EvaluationInference-Time Scaling

    Carnegie Mellon University · Johns Hopkins University

  15. Reward Learning from Best-of-NN Preference Data: Targets, Tradeoffs, and Design Principles

    May 28, 2026Rattana Pukdee, Maria-Florina Balcan, Pradeep RavikumarPairwise Preference LearningReward Modeling

    Machine Learning Department Carnegie Mellon University

  16. CCS: Clinical Consensus Selection for Radiology Report Generation

    May 28, 2026Xi Zhang, Yingshu Li, Zaiqiao Meng +2Radiology Report GenerationRadiology VLMs

    School of Computing Science, University of Glasgow · School of Electrical and Computer Engineering, University of Sydney · Language Technology Lab, University of Cambridge

  17. What should post-training optimize? A test-time scaling law perspective

    May 11, 2026Muheng Li, Jian Qian, Wenlong MouTest-Time ScalingBest-of-N Sampling

    Department of Statistical Sciences, University of Toronto† · Department of AI and Data Science, The University of Hong Kong ⋄

  18. On-Policy Distillation with Best-of-N Teacher Rollout Selection

    May 10, 2026Ke Zhang, Yunjie Tian, Dongdi Zhao +4CoT DistillationBest-of-N Sampling

    Johns Hopkins University · TikTok · University of California, San Diego +1

  19. Flexible Empowerment at Reasoning with Extended Best-of-N Sampling

    Apr 17, 2026Taisuke KobayashiReinforcement LearningBest-of-N Sampling

    National Institute of Informatics and The Graduate University for Advanced Studies, SOKENDAI Japan

  20. SCATR: Simple Calibrated Test-Time Ranking

    Apr 16, 2026Divya Shyamal, Marta Knežević, Lan Tran +3Test-Time ScalingBest-of-N Sampling

    EPFL · MIT

  21. Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction

    Jan 26, 2026Mikel Zubillaga, Oscar Sainz, Oier Lopez de Lacalle +1Self-Consistency DecodingDocument Information Extraction

    HiTZ Center - Ixa, University of the Basque Country UPV/EHU

  22. PiCSAR: Probabilistic Confidence Selection And Ranking for Reasoning Chains

    Aug 29, 2025Joshua Ong Jun Leang, Zheng Zhao, Aryo Pradipta Gema +7Confidence Estimation in Language ModelsBest-of-N Sampling

    Imperial College London · University of Edinburgh · UCL