Probability

Momentum

24 papers in the last four weeks, up 85% on the four weeks before. 0.2% of all new papers.

Jul 13Week of Sep 28

Latest papers 97

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  1. How Accurate Is Accurate Enough?

    Sep 30, 2026Ningkang Peng, Qianfeng Yu, Jingyang Mao +2Loss FunctionProbability

  2. Probability is Not Enough: Exploring and Counting Divergent Tokens for Reasoning Uncertainty Quantification in LLMs

    Sep 29, 2026Feiyang Li, Shengjing Liu, Qi Zhan +7Large Language Model UncertaintyConfidence Calibration

  3. Jev thinks "I don't know'', but doesn't say it: Introducing Sys1Cal-v1 Dataset for Probability Calibration

    Sep 28, 2026Riccardo PorceddaProbabilityConfidence Calibration

  4. Recommendation Ranking Off-Policy Evaluation under Ranking-Dependent Examination via Examination-Relevance Decomposition

    Sep 28, 2026Riki Okamura, Toshiharu SugawaraPolicy EvaluationRanking

  5. Composable Decoding on the Probability Simplex: Theory and Implementation

    Sep 28, 2026Xiaotong Ji, Ahmed Khaled Khamis, Rasul Tutunov +2ProbabilityRegularization

  6. Uniform Race: Parameter-Free Approximate Rejection Sampling

    Sep 28, 2026Seiyun Shin, Juhyeong Pang, Kwang-Sung JunRejection SamplingProbability

  7. Quantifying Behavioral Tails in Black-Box Language Models

    Sep 27, 2026Elsayed Eshra, Ali Al-Lawati, Dongwon Lee +1ProbabilitySeverity

  8. Hierarchical Response Preservation for Continual Adaptation of Zero-Shot Graph-Text Models

    Sep 27, 2026Haopeng Zhang, Yuhan Wang, Yubing Su +4ResponsesProbability

  9. JevOut: Natural Context Can Flip Decision Models

    Sep 24, 2026Zixiang XuDecisionsContextual Reasoning

  10. Mind What Matters for Reasoning: Aligning Cross-Modal Attention via Selective Probability Mass Concentration

    Sep 24, 2026Jiaqi Deng, Zonghan Wu, Zhan Heng +3Multimodal ReasoningMultimodal Large Language Models

  11. Auditing Bayesian Graph Alignment: Diagnostic Comparisons and Reference Failure

    Sep 19, 2026Melika Gorgi, Kourosh MirsohiConditional IndependenceDiagnosis

  12. PAA: The Probabilistic Allen Algebra: A Generative and Complete Probabilistic Extension of Allen's Interval Relations

    Sep 17, 2026Julian EggertProbabilistic ModelProbability

  13. A Data-free Universal Prior over Syntactic Structures

    Sep 15, 2026Fermín Moscoso del Prado MartínSyntactic StructureProbability

  14. A Ranking Approach for Measuring Calibration

    Sep 14, 2026Anirban Chatterjee, Rina Foygel BarberProbabilityRanking

  15. A Unifying Perspective on Probabilities as Model Predictions

    Sep 9, 2026Benedikt HöltgenProbabilityBayesian

  16. Are Image Generators Zero-Shot Perceivers? A Rigorous Evaluation

    Sep 7, 2026Shangzhe Di, Zhaokai Wang, Weidi XieZero-Shot RobustnessImage Generation

  17. Who Drives the Probability Game of VLMs? A Temporal Causal Drive Evaluation Framework

    Sep 2, 2026Shuyao Xiao, Shengling Wang, Haoyu Niu +4Multimodal GenerationAutoregressive Decoding

  18. Rock, Paper, Scissors, ... Dynamite - A Model of Disruption from New Technologies

    Aug 31, 2026Andrew J. LohnTechnologyCompetition

  19. H-VAEP and H-xT: Valuing Offensive On-the-Ball Actions in Handball by Estimating Probabilities

    Aug 13, 2026Julius Broermann, Oliver Müller, Michael Döring +1ValueProbability

  20. General Probabilities of Causation with Causal Knowledge

    Aug 12, 2026Xin Shu, Zhen Lei, Ang LiCausal ModelingCausal

  21. How to Verify Consistency of Probabilistic Claims

    Aug 11, 2026Orr Paradise, Oliver Richardson, Yoshua Bengio +1Self-ConsistencyZero-Knowledge Proofs

  22. A Quantum Roadmap for Softmax Attention: Exact Born-Rule Analogs for Softmax Attention on the Probability Simplex

    Aug 11, 2026Eric A. F. Reinhardt, Adam J. HauserGumbel-Softmax RelaxationQubit

  23. Hierarchical Empirical-Bayes Naive Bayes: Minimax Smoothing and Calibration with AODE Extension

    Aug 11, 2026Nguyen Thai Anh, Truong Viet Vu, Tran Thien Thanh +2Empirical BayesProbability

  24. Every pooling rule has its world: matching probability combination rules to situations and stakes

    Aug 11, 2026Tanel Tammet, Priit Järv, Dirk DraheimProbabilityProbabilistic Model

  25. Evaluating Generative Time-Series Models on Data with Point Masses

    Aug 10, 2026Jian XuTime-Series GenerationGenerative Models

  26. From probability to causality in probabilistic logic programming

    Aug 7, 2026Zora Wurm, Kilian Rückschloß, Felix WeitkämperCausal ReasoningProbabilistic Model

  27. Surv-IPTB: An Attention-Based Model for Estimating Individual Probability of Treatment Benefit with Survival Data

    Aug 6, 2026Lev V. Utkin, Stanislav K. Kogan, Andrei V. KonstantinovSurvival AnalysisTime-To-Event Data

  28. Conditionally Identifiable Latent-Environment Modeling for Out-of-Distribution Recommendation

    Aug 4, 2026Qianqian Wang, Wenwu Gong, Yunshan Li +3RecommendationLatent Variable

  29. Dominant Arm Identification with Mixing and Recycling Observed Samples

    Aug 2, 2026Jonghyun Sim, Wonyoung KimStochastic Multi-Armed BanditsAlgorithm Selection

  30. An Information Theoretic Treatment of Yager's Probability Distribution Negation

    Aug 1, 2026Roberto Bruno, Ugo VaccaroProbabilityInformation-Theoretic Limits

  31. PRISM: An Agentic Multi-Model Architecture for Proactive Safety in Autonomous Transportation Systems

    Jul 29, 2026Joyjit Roy, Samaresh Kumar Singh, Sushanta DasAgenticProbability

  32. Simulation-based parameter estimation via a combination of embedded normalizing flows and implied empirical probabilities under moment restrictions

    Jul 27, 2026Getachew K. BefekaduEmpirical BayesSurrogate Models

  33. Learning and Structurally Validating Simulation Scenario Continuations in Dynamic Graph Systems

    Jul 23, 2026Michael Romei de Socio, Gian Luca Pozzato, Alessio MerloScenario GenerationContinuation

  34. Animation, Verification and Visualisation of Prolog Transition Systems with ProB

    Jul 23, 2026Jan Gruteser, Michael Leuschel, Katharina Engels +1Probabilistic Model CheckingTheorem Proving

  35. Encoding Event-B Proof Rules in Prolog: An Interactive Sequent Prover for ProB

    Jul 23, 2026Katharina Engels, Jan Gruteser, Michael LeuschelTheorem ProvingProof

  36. Generating Bearing Vibration Signals at User-Specified Fault Probabilities Using PR-GAN and Counterfactual Methods

    Jul 21, 2026Seyed Mohammadreza Alavi, Ardeshir Shojaeinasab, Reza Jalayer +2VibrationFault Diagnosis

  37. Calibrating Semantic Uncertainty from Observable Language-Model Probabilities

    Jul 20, 2026Matthew F. DixonLarge Language Model UncertaintyCalibrated Uncertainty

  38. Linear representations of grammaticality in neural language models

    Jul 16, 2026Jane Li, Najoung KimGrammaticalityLinguistics

  39. Interventional Causal Circuits for Safe Robot Action Testing and Failure Recovery

    Jul 16, 2026Naren Vasantakumaar, Tom Schierenbeck, Michael BeetzRobot SystemsRobot Failures

  40. Production and Perception in LLMs: A Token Probability Approach

    Jul 13, 2026Anna Marklová, Jiří Milička, Martina Vokáčová +1Single-Token Output DistributionsLinguistics

  41. Global Merger-Arbitrage Forecasting with Language Models

    Jul 10, 2026Hinal Jajal, Michal Mucha, Charles Sweat +3Large Language Model ForecastingData-Driven Forecasting

  42. Solving Stochastic Fixed-Point Equations with High Probability

    Jul 10, 2026Jelena DiakonikolasFixed-Point IterationStochastic Approximation

  43. Sample-Efficient Learning of Probabilistic Causes for Reachability in Markov Decision Processes with Probabilistic Guarantees

    Jun 29, 2026Ryohei Oura, Georgios Fainekos, Hideki Okamoto +1Markov Decision ProcessesReachability

  44. A Mathematical Optimization Approach for Expert-Informed Bayesian Best Subset Selection

    Jun 28, 2026Nolan Alexander, Henning MortveitModel SelectionProbability