Uncertainty Score

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12 papers in the last four weeks, with none the four weeks before. 0.1% of all new papers.

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  1. ufakzeka-karar: An Open Turkish Typed-Decision Model with Order-Invariant Option Scoring

    Oct 5, 2026Sait Furkan TekeUncertainty Score

    ufak AI

  2. SimplexUQ: An Evaluation Framework and Benchmark for Conformal Uncertainty on Simplex-Valued Predictions

    Sep 30, 2026Liang You, Hengyu Shi, Dongwen OuOnline Conformal PredictionSimplex

    University of Pittsburgh · Duke University

  3. Beyond Accuracy: Prefix-Invariant Realizations of Low-Precision Fast Matrix Multiplication

    Sep 30, 2026Shuxiao Xie, Shuyang Xie, Yuan Cao +3Matrix MultiplicationQuantized

  4. UGOD: Uncertainty-Guided Opacity and Dropout for Sparse-View 3D Gaussian Splatting

    Sep 30, 2026Zhihao Guo, Peng Wang, Zidong Chen +7Novel View SynthesisOpacity

    Manchester Metropolitan University, Manchester, United Kingdom. · University of Surrey, Guildford, United Kingdom. · Imperial College London, London, United Kingdom. +5

  5. XU-RS: Explaining Credal Width in Random-Set Language Models

    Sep 29, 2026David Achara, Maryam Sultana, Alexander D. Rast +1Large Language Model UncertaintyUncertainty Score

    Institute for AI, Data Analysis and Systems (AIDAS) Oxford Brookes University

  6. Mixed-Prior Decision Risk for Open-Set Recognition

    Sep 28, 2026L. A. Erlygin, P. D. Proskura, A. A. ZaytsevOpen-Set RecognitionUncertainty Score

    Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russia · Risk Management, Sber, Moscow, Russia · The Institute for Information Transmission Problems (IITP RAS), Moscow, Russia

  7. Livin' on a Prior: Likelihood Score Approximation for Inverse Problems

    Sep 28, 2026Rostislav Makarov, Tal Peer, Danilo de Oliveira +1Bayesian Inverse ProblemsInverse Problem

    Signal Processing University of Hamburg Hamburg, Germany

  8. Likelihood Ranking doesn't Scale Like Prompting in LLMs

    Sep 24, 2026Alessandro Bondielli, Lucia Passaro, Davide Bacciu +1Multiple-Choice QuestionsUncertainty Score

    CoLingLab, Department of Philology, Literature and Linguistics, University of Pisa · Department of Computer Science, University of Pisa

  9. Robustness of Diffusion Models under Distribution Shift

    Sep 23, 2026Wei Luo, Neil K. Chada, Shijie Zhang +1Score-Based Diffusion ModelDistribution Shifts

    Department of Mathematical Sciences, Tsinghua University · Department of Mathematics, City University of Hong Kong, Hong Kong SAR · Artificial Intelligence Research Institute, Shenzhen MSU-BIT University +1

  10. Learning Risk Scores Robust to Unobserved Confounders

    Sep 22, 2026Ryan Edmonds, Yingxiao Ye, Sina Aghaei +3Risk StratificationImportance Weighting

    Center for Artificial Intelligence in Society, University of Southern California, Los Angeles, CA 90089, USA · Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, CA 90089, USA · Department of Engineering, Department of Economics and Management, University of Luxembourg, L-1359 Luxembourg

  11. Split Conformal Prediction with Label-Shift-Adjusted Bayesian Scores

    Sep 14, 2026Hyeonsu Lee, Juyeon Kim, Erkhembayar Jadamba +2Nonconformity ScoresOnline Conformal Prediction

    MOGAM Institute for Biomedical Research, Korea · CROID Research and aSSIST University, Korea

  12. Score-based Outlier Generation via Controlling the Radon-Nikodym Derivative

    Sep 14, 2026Amartya Mukherjee, Tristan Milne, Kry Yik-Chau Lui +2Score-Based Diffusion ModelOutliers

    Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1 · Royal Bank of Canada, 1 Place Ville Marie, Montreal, Quebec, H3C 3A9

  13. Generalized Score Matching for Parameter Estimation on Convex Domains

    Sep 11, 2026Nishanth Shetty, Saisuchith Mahajan, Chandra Sekhar SeelamantulaMaximum LikelihoodUncertainty Score

    Department of Electrical Engineering Indian Institute of Science, Bengaluru 560012

  14. Single Canonical Prompts Underestimate LLM Safety's Surface-Form Sensitivity

    Aug 1, 2026Yongxi Zhou, Junwei Yao, Yuanzhe Liu +4Large Language Model SafetyUnsafe

    1Northeastern University, Massachusetts, USA · 2Georgia Institute of Technology, Georgia, USA · University of Southern California, California, USA

  15. Model-Driven Requirements Configuration with Three-Valued Uncertainty Scoring

    Jul 28, 2026Ahmed IbrahimLarge Language Models(LlmsUncertainty Score

    aWestern University, London, Canada

  16. Every Time I Hire a Linguist, Inference Costs Go Down: On Linguistic Rules as Effective Prompt Compressors

    Jul 28, 2026Jianfei Ma, Zhaoxin Feng, Emmanuele Chersoni +1LinguisticsInference Cost

    The Hong Kong Polytechnic University

  17. FinAbstain: Uncertainty-Calibrated Multimodal RAG for Selective Financial Forecasting

    Jul 27, 2026Dorothy Torres, Wei Cheng, Henan HuangLarge Language Model ForecastingUncertainty Score

    School of Science, Technology, Engineering and Mathematics 263 Academy Street, Room S204 Jersey City, NJ 07306 · School of Electrical Engineering and Computer Science The Pennsylvania State University 207 Electrical Engineering West University Park, PA 16802, USA

  18. From Score Approximation to Distribution Approximation in Score-Based Diffusion Models

    Jul 24, 2026Lan V. TruongScore-Based Diffusion ModelDiffusion Models

    Faculty of Computer Science and Engineering · Ho Chi Minh City University of Technology (HCMUT) · Vietnam National University Ho Chi Minh City (VNU-HCM), Vietnam

  19. Mean-to-Score Discrete Diffusion: Posterior-Mean Denoisers for Score Entropy

    Jul 23, 2026Jingyuan Li, Xiaoyi Jiang, Yixuan Jiang +4Score-Based Diffusion ModelUncertainty Score

    Tsinghua University · Beijing Institute of Mathematical Sciences and Applications · Wuhan University +1

  20. U-CFR: Uncertainty-Guided Cascade Forward Refinement for Interactive Segmentation

    Jul 22, 2026Elijah Danquah Darko, Min Xian, Terence Soule +2Click-Through Rate PredictionUncertainty Score

    Department of Computer Science University of Idaho · Idaho National Laboratory

  21. One-step lowest-variance selection in a Gaussian random-field model motivated by masked diffusion: Total correlation and a square root collision threshold

    Jul 20, 2026Linjun LiUncertainty ScoreCollision Prediction

    Department of Mathematics, University of Pennsylvania, Philadelphia, PA.

  22. When to Plan: Learning to Select Between Reactive Control and Deliberative Planning

    Jul 17, 2026Adam Labiosa, Josiah P. HannaReactivePlanning

    Department of Computer Sciences, University of Wisconsin–Madison, USA

  23. From Checker to Forecaster: Code-Owned Evaluation of Model-Generated Strategic Routes Under Delayed Ground Truth

    Jul 13, 2026Aleh ManchuliantsauData-Driven ForecastingUncertainty Score

    Independent Researcher

  24. EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning

    Jul 11, 2026S M Asif Hossain, Ruksat Khan Shayoni, M. F. MridhaMultimodal Retrieval Augmented GenerationEvidential Uncertainty

    aSchool of Computing, Wichita State University, Kansas, USA · bDepartment of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh

  25. COALA: Robust Contextualized Speech-augmented Language Modeling for ASR via Contrastive Regularizer and Biasing Score Estimation

    Jul 9, 2026Jhih-Rong Guo, Bi-Cheng Yan, Tien-Hong Lo +1Automatic Speech RecognitionLanguage Modeling

    National Taiwan Normal University, Taiwan

  26. Sensitivity to Subjective Expected Utility Maximization: A Methodological Study, with an Illustrative Application to LLM Decision-Making

    Jul 8, 2026Jeff HelznerUtility MaximizationUncertainty Score

  27. Tightening the Score Matching Gap for Diffusion Models

    Jul 5, 2026Benjamin Dupuis, Tyler Farghly, Maxime Haddouche +2Score-Based Diffusion ModelKullback-Leibler Divergence

    INRIA - CNRS - D´epartement d’Informatique de l’Ecole Normale Sup´erieure - PSL Research University, France · Ecole Polytechnique - CMAP, IP Paris, Palaiseau, France

  28. Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees

    Jul 5, 2026Sijin Dong, Hiroyuki ShinnouLarge Language Model UncertaintyUncertainty Score

    1Ibaraki University, Japan.

  29. Decision-Aware Training for Sample-Based Generative Models

    Jul 1, 2026Kornelius Raeth, Nicole LudwigProbabilistic ForecastingGenerative Models

    T ubingen AI Center, University of T ubingen, Germany · University of Augsburg, Germany

  30. Logit-Contribution Scoring Identifies Non-Literal Retrieval Heads

    Jul 1, 2026Aryo Pradipta Gema, Beatrice Alex, Pasquale MinerviniEfficient Long-Context InferenceUncertainty Score

    QUniversity of Edinburgh · KHeriot-Watt University · V Miniml.AI

  31. Detecting Clinical Hallucinations in LVLMs via Counterfactual Visual Grounding Uncertainty

    Jun 26, 2026Xiao Song, Haonan Qin, Zhaoxu Zhang +3Citation Hallucination DetectionMedical Vision-Language Models

    School of Intelligent Science and Technology, Nanjing University, Suzhou, China · School of Biomedical Engineering, Nanjing University, Suzhou, China · National Institute of Healthcare Data Science at Nanjing University, Nanjing University, Nanjing, China

  32. Decision-Aligned Evaluation of Uncertainty Quantification

    Jun 25, 2026Annika Schneider, Tommy Rochussen, Joshua Stiller +1Uncertainty QuantificationUncertainty Score

    1Technical University of Munich · 2Helmholtz AI · 3MCML +3

  33. Laplace-Fisher Gate Identities for Optimal Matrix-Gated Blended Score Estimation

    Jun 23, 2026Alois Duston, Tan Bui-ThanhUncertainty ScoreBayesian Inverse Problems

    The Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin · The Oden Institute for Computational Engineering and Sciences, and the Department of Aerospace Engineering & Engineering Mechanics, The University of Texas at Austin

  34. Score Approximation for Diffusion Models on Arbitrary Low-Dimensional Structures

    Jun 18, 2026Xinhe Mu, Zaijiu Shang, Zhaoqi Zhou +4Score-Based Diffusion ModelLow-Dimensional Structure

    Academy of Mathematics and Systems Sciences Chinese Academy of Sciences Beijing, China · Shanghai Institute for Mathematics and Interdisciplinary Sciences Shanghai, China · Huawei Technologies Co., Ltd. Beijing, China

  35. Bounded Difference Concentration for Infinitely Exchangeable Sequences with Applications to AI Benchmark Uncertainty

    Jun 16, 2026Fangyuan Lin, Spencer Frei, Victor H. de la PenaConcentration BoundsArtificial Intelligence Benchmarks

    Department of Statistics, Columbia University · Google DeepMind

  36. RANSAC Scoring Done Right

    Jun 12, 2026James Pritts, Felix Seegräber, Kevin KöserDensity Ratio EstimationUncertainty Score

    Marine Data Science, Institut für Informatik Kiel University, Germany

  37. Recovering Stranded Discrimination in Knowledge Tracing: Per-Item Bias Correction via Empirical-Bayes Shrinkage

    Jun 12, 2026Xiaoran Yan, Cheng Tang, Atsushi ShimadaLogit LensUncertainty Score

    Kyushu University, Fukuoka, Japan

  38. Uncertainty Estimation for Molecular Diffusion Models

    Jun 11, 2026Paul Seij, Christian A. Naesseth, Stephan Mandt +1Diffusion ModelsDiffusion Dynamics

    UvA-Bosch Delta Lab, University of Amsterdam · University of California, Irvine

  39. Are We Evaluating Knowledge or Phrasing? Mitigating MCQA Sensitivity with ParaEval

    Jun 9, 2026João Maria Janeiro, Mathurin Videau, Andrea Caciolai +3Multiple-Choice QuestionsUncertainty Score

    FAIR at Meta · Sorbonne Université, CNRS, ISIR, F-75005 Paris, France · Criteo AI Lab, Paris, France

  40. Rank Intervals for Leaderboards: A Hierarchical Framework for Model Evaluation

    Jun 7, 2026Bitya Neuhof, Yuval BenjaminiModel EvaluationLeaderboard

    Department of Statistics and Data Science The Hebrew University of Jerusalem

  41. Calibration of Structured Ignorance Certificates for Diagnosing Unknown Unknowns in Reasoning Models

    Jun 7, 2026Subramanyam SahooLarge Language Model UncertaintyLarge Reasoning Models

    Independent Researcher.

  42. Where the Score Lives: A Wavelet View of Diffusion

    Jun 6, 2026Emma Finn, Binxu Wang, T. Anderson Keller +1Score-Based Diffusion ModelDiffusion Models

    The Kempner Instutite for the Study of Natural and Artificial Intelligence Harvard University, Cambridge, MA 15213

  43. Architecture-Adaptive Uncertainty Fusion for Deepfake Detection

    Jun 4, 2026Ritesh Sharma, Mohammad Ghasemigol, Yuichi MotaiDeepfake DetectionUncertainty-Aware Fusion

  44. Diffusion Models Observe Only Gradients: A Geometric Perspective on Score Matching Errors

    Jun 4, 2026Naïl B. Khelifa, Richard E. Turner, Ramji VenkataramananScore-Based Diffusion ModelDiffusion Models

    University of Cambridge

  45. DECK: A Consistency x Confidence Taxonomy of LLM Hallucinations

    Jun 1, 2026Mohit Singh ChauhanLarge Language Model HallucinationCitation Hallucination

  46. EstRTL: Functional Estimation Guided RTL Code Generation

    Jun 1, 2026Qi Xiong, Renzhi Chen, Bowei Wang +3Hierarchical Register Transfer Level GenerationRegister Transfer Level

    College of Computer Science and Technology, National University of Defense Technology, Changsha, China · Defense Innovation Institute, Academy of Military Science (AMS), Beijing, China · School of Computer Science and Technology, Shandong University, Qingdao, China +2

  47. Expected Value Alignment for Generative Reward Modeling in Formal Mathematics Verification

    May 31, 2026Shihao Ji, Haotao Tan, Zihui Song +1Reinforcement Learning With Verifiable RewardLarge Language Model Alignment

  48. Multi-Stakeholder LLM Alignment: Decomposing Estimation from Aggregation

    May 26, 2026Lulu Zheng, Wenjin Yang, Xiangwen Zhang +4StakeholdersLarge Language Model Alignment

    AMAP, Alibaba Group · Beihang University

  49. Proper Scoring Rules for Agentic Uncertainty Quantification

    May 23, 2026Suresh Raghu, Satwik Pandey, Shashwat PandeyUncertainty ScoreScoring

    Independent Researcher

  50. Diffusion-based Denoising Beats Vanilla Score Matching in Parameter Estimation: A Theoretical Explanation

    May 21, 2026Benedikt Lütke Schwienhorst, Nadja Klein, Johannes LedererScore-Based Diffusion ModelMaximum Likelihood

    Department of Mathematics University of Hamburg Hamburg, Germany · Scientific Computing Center Karlsruhe Institute of Technology2026 Karlsruhe, Germany · Department of MathematicsMay University of Hamburg Hamburg, Germany21

  51. ECUASn_n: A family of metrics for principled evaluation of uncertainty-augmented systems

    May 19, 2026Lautaro Estienne, Erik Ernst, Matías Vera +2Predictive UncertaintyUncertainty Score

    School of Engineering, UBA, Argentina · ICC, CONICET-Universidad de Buenos Aires, Argentina · LISN, CNRS, Université Paris-Saclay, France +4

  52. Distribution Matching Distillation without Fake Score Network

    May 19, 2026Youngjoong Kim, Deokyeong Lee, Jaesik ParkDistribution Matching DistillationDataset Distillation

    Department of Computer Science and Engineering, Seoul National University · Department of Computer Science and Engineering, Sogang University Seoul, Republic of Korea

  53. Keeping Score: Efficiency Improvements in Neural Likelihood Surrogate Training via Score-Augmented Loss Functions

    May 12, 2026Alexander Shen, Mikael KuuselaSurrogatesUncertainty Score

    Department of Statistics and Data Science Carnegie Mellon University Pittsburgh, PA 15213

  54. Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities

    May 11, 2026Daniel RanardContinuationNext-Token Prediction

    Department of Physics, California Institute of Technology, Pasadena, CA 91125, USA

  55. Post-hoc Selective Classification for Reliable Synthetic Image Detection

    May 9, 2026Kaixiang Zheng, Jacob H. SeidmanSynthetic Image DetectionDetection Performance

    University of Waterloo · Reality Defender

  56. Future Validity is the Missing Statistic: From Impossibility to ΦΦ-Estimation for Grammar-Faithful Speculative Decoding

    May 8, 2026Wenhua Nie, Zijie Meng, Kun Zou +5Speculative DecodingContext-Free Grammars

    National Taiwan University

  57. Towards Generation-Efficient Uncertainty Estimation in Large Language Models

    May 7, 2026Mingcheng Zhu, Yu Liu, Tingting ZhuLarge Language Model UncertaintyUncertainty

    University of Oxford

  58. LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropy

    May 5, 2026Hamed Karimi, Vaishali Meyappan, Reza SamaviLarge Language Model UncertaintySemantic Entropy

    Toronto Metropolitan University, Toronto, Ontario, Canada · Vector Institute, Toronto, Ontario, Canada

  59. Divergence is Uncertainty: A Closed-Form Posterior Covariance for Flow Matching

    May 1, 2026Jiarui Xing, Song Wang, Jian WangGenerative ModelsUncertainty

    Yale University · Harvard Medical School

  60. Uncertainty Quantification for LLM Function-Calling

    Apr 24, 2026Zihuiwen Ye, Lukas Aichberger, Michael Kirchhof +5Large Language Model UncertaintyUncertainty Quantification

    University of Oxford · Apple