Large Language Model Uncertainty

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Period ending 2026-09-14

4 new papers

A weekly snapshot of new work published in Large Language Model Uncertainty.

Period ending 2026-09-07

5 new papers

A weekly snapshot of new work published in Large Language Model Uncertainty.

124 papers

Latest in Large Language Model Uncertainty

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  1. Using Semantic Uncertainty to Estimate Transition Relevance in Turn-taking

    Sep 11, 2026Muhammad Umair, Jan P. de RuiterTurn-TakingLarge Language Model Uncertainty

  2. Learning to Adapt and Calibrate: Score Distribution Alignment for Few-Shot Uncertainty Prediction in Medical VLMs

    Sep 9, 2026Xuan Cuong Ngo, Ngan LeFew-Shot LearningVision-Language Model Adaptation

  3. From Answers to Interpretations: Rethinking Ambiguity-Induced Aleatoric Uncertainty Estimation in LLMs

    Sep 7, 2026Omer Nahum, Niv Nayman, Jonathan Fhima +4Large Language Model UncertaintyAmbiguity

  4. Trust Your Guide Only When Certain: Uncertainty-Aware Sparse Alignment at Inference Time

    Sep 1, 2026Zeen Zhu, Zhuo Li, Weiyang Guo +4Safety AlignmentInference-Time Defense

  5. BiG-SURE - Bipartite Graph for Semantic Uncertainty and Reliability Estimation of LLMs

    Aug 31, 2026Debarpan Bhattacharya, Malay Phadke, Sriram GanapathyLarge Language Model UncertaintyReliability

  6. Asymptotic Risk Calibration for Selective Question Answering

    Aug 12, 2026Shufan Lin, Sijin DongLarge Language Model UncertaintyQuestion

  7. CLAIM: Leading Open-domain Active Clarification of Large Language Models with Uncertainty Measurement

    Aug 12, 2026Kuangzhao Yang, Ziliang Zhao, Zhicheng DouClarificationLarge Language Model Uncertainty

  8. Beyond Single-Turn Confidence: Trajectory-Adapted Uncertainty Quantification for LLM Agents

    Aug 12, 2026Dylan Bouchard, Mohit Singh ChauhanLarge Language Model UncertaintyLarge Language Model Agents

  9. Attention-Path Fragility as an Uncertainty Signal in Large Language Models

    Aug 11, 2026Minsoo Kim, Sungyoung Ji, Kisung Moon +1Large Language Model UncertaintyConfidence Calibration

  10. Actionable Hallucination Detection: Translating Latent Uncertainty into Agentic Critique

    Aug 11, 2026Sanidhya Vijayvargiya, Rahul LokeshHallucination DetectionLarge Language Model Uncertainty

  11. PPDL: LLM-Based Flows as Probabilistic Programs

    Aug 5, 2026Louis Mandel, Guillaume Baudart, Mandana Vaziri +1Large Language Model UncertaintyReliable

  12. UHP Detection: LVLMs have their Unique Hallucination Pattern in the Consistency Space

    Aug 4, 2026Amir Mohammad Ezzati, Kiyan Rezaee, Bardiya Kariminia +4Visual HallucinationsLarge Language Model Uncertainty

  13. DUD: Decoupled Update Dynamics for Reliable Uncertainty Quantification in Large Language Models

    Aug 4, 2026Yixin Bu, Runze Xia, Guanyun Zou +3Large Language Model UncertaintyUncertainty Quantification

  14. TrAC: Trace-Conditioned Answer Consistency for Efficient Uncertainty Quantification in LLMs

    Aug 1, 2026Dahai Yu, Lin Jiang, Rongchao Xu +1Large Language Model UncertaintyLLM Reasoning Methods

  15. Thinking Under Uncertainty: Evidence Use and Information-Seeking in Language Models

    Jul 29, 2026Hua-Dong Xiong, Xinyuan Yan, Ji-An Li +3Large Language Model UncertaintyMetacognition

  16. Runtime Uncertainty Monitoring for LLM-Based Multi-Agent Systems Using Bayesian Networks

    Jul 28, 2026Bart Custers, Koorosh AslansefatLarge Language Model UncertaintyUncertainty Propagation

  17. Beyond Self-Knowledge: Propagating Uncertainty Across Reasoning and Retrieval in LLMs

    Jul 28, 2026Chandan Kumar Sah, Li Zhang, Xiaoli LianLarge Language Model UncertaintySelf-Awareness

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

    Jul 27, 2026Dorothy Torres, Wei Cheng, Henan HuangFinance DomainLarge Language Model Uncertainty

  19. Small Vision-Language Models Know When They Are Wrong But Cannot Say So: A Two-Model Study of Stated versus Internal Confidence Under Realistic Image Degradation

    Jul 24, 2026M M Asif FerdousLarge Language Model UncertaintyConfidence Calibration

  20. Calibrating Semantic Uncertainty from Observable Language-Model Probabilities

    Jul 20, 2026Matthew F. DixonLarge Language Model UncertaintyProbability

  21. Beyond Semantic Equivalence: Logical Graphs for LLM Uncertainty Quantification

    Jul 18, 2026Yanni Dong, Minghua Liu, Meilin Zhu +2Large Language Model UncertaintyEntailment

  22. Diversity-Oriented Fine-Tuning for Uncertainty-Based Hallucination Detection

    Jul 18, 2026Qiuyuan Li, Hongliang Dai, Piji LiHallucination DetectionLarge Language Model Uncertainty

  23. Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies

    Jul 18, 2026Murali Indukuri, Mohammad Eskandari, Sree Nitya Kollu +2HazardLarge Language Model Safety

  24. From Critic to Confidence: PPO for Language-Based Quantitative Prediction with Confidence Estimation

    Jul 14, 2026Mehak Dhaliwal, Rasta Tadayon, Andong Hua +2Large Language Model UncertaintyPolicy Optimization

  25. Code-MUE: Measuring Code LLMs' Uncertainty through Execution-based Semantic Interaction Graphs

    Jul 14, 2026Xiaoning Ren, Yinxing Xue, Lei Ma +1Large Language Model UncertaintyCode Quality

  26. 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. MridhaKnowledge ConflictsRetrieval-Augmented Generation

  27. Hallucination Detection in Large Language Models Using Diversion Decoding

    Jul 11, 2026Basel Abdeen, S M Tahmid Siddiqui, Meah Tahmeed Ahmed +4Large Language Model HallucinationHallucination Detection

  28. Eigenvalue Calibration for Semantic Embeddings of Large Language Models

    Jul 9, 2026Sebastian G. Gruber, Nassim Walha, Francis Bach +1Large Language Model UncertaintyUncertainty Quantification

  29. Estimating Uncertainty from Reasoning: A Large-Scale Study of Multi- and Crosslingual MCQA Performance in LLMs

    Jul 7, 2026Andrea Bacciu, Andrea Alfarano, Saab Mansour +2Large Language Model UncertaintyInterpretable Uncertainty

  30. SpanUQ: Span-Level Uncertainty Quantification for Large Language Model Generation

    Jul 7, 2026Yimeng Zhang, Yingying Zhuang, Ziyi Wang +12Large Language Model UncertaintyLarge Language Model Generation

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

    Jul 5, 2026Sijin Dong, Hiroyuki ShinnouLarge Language Model UncertaintyLarge Language

  32. Evaluating LLM Uncertainty in Long-Form Generation Using Deterministic Ground Truth

    Jul 4, 2026Ido Amit, Ido Galil, Ran El-YanivLarge Language Model UncertaintyLong-Form Generation

  33. Bayesian Sparse Low-Rank Adaptation for Large Language Model Uncertainty Estimation

    Jul 2, 2026Jijie Zhang, Zhe Ren, Quan Zhang +1Large Language Model UncertaintyAdaptive-Rank Low-Rank Adaptation Baselines

  34. CoMet: Context and Multiplicity Decomposition for Multimodal Uncertainty Estimation

    Jun 30, 2026Sanghyuk Chun, William Yang, Amaya Dharmasiri +1Large Language Model UncertaintyLarge Multimodal Models

  35. Uncertainty-Aware Generation and Decision-Making Under Ambiguity

    Jun 29, 2026Nico Daheim, Iryna GurevychLarge Language Model UncertaintyDecisions

  36. From Signals to Transfer: A Factorised Study of Probe-Based Uncertainty Estimation in Large Language Models

    Jun 26, 2026Ponhvoan Srey, Xiaobao Wu, Cong-Duy Nguyen +3Large Language Model UncertaintyFactor

  37. Uncertainty-aware reinforcement learning for chemical language models

    Jun 23, 2026Borja Medina, Jon Paul JanetLarge Language Model UncertaintyMolecular Design

  38. Beyond Logprobs: A Multi-Signal Confidence Engine for LLM-Based Document Field Extraction

    Jun 23, 2026Nitesh KumarConfidence EstimationExtraction

  39. The Origins of Stochasticity: Comprehensive Investigations on Uncertainty Quantification for Large Language Models

    Jun 22, 2026Xiang-Jun Ou, Shuang Liang, Xin-Yu Hu +3Large Language Model UncertaintyUncertainty Quantification

  40. Confident but Conflicted: Internal Uncertainty and Cognitive Dissonance Resolution in LLMs

    Jun 21, 2026Weihong Qi, Kristina LermanLarge Language Model UncertaintyCross-Model Consistency

  41. A Systematic Evaluation of Black-Box Uncertainty Estimation Methods for Large Language Models

    Jun 18, 2026Jiayi Wang, Xu-Yao ZhangLarge Language Model UncertaintyLarge Language Model Reliability

  42. Uncertainty Decomposition for Clarification Seeking in LLM Agents

    Jun 17, 2026Gregory MatsnevLarge Language Model UncertaintyClarification

  43. Possible or Definite? A Benchmark for Evaluating Diagnostic Uncertainty Preservation in Clinical Text

    Jun 16, 2026Hongbo Du, Zixin Lu, Jiaming QuLarge Language Model UncertaintyClinical Reasoning

  44. Uncertainty Is Not a Safety Net for Clinical VQA, but Can It Anticipate Model Failure?

    Jun 15, 2026Arnisa Fazla, Alberto Testoni, Ameen Abu-Hanna +2Large Language Model UncertaintyMedical Visual Question Answering

  45. SAGE: Answer-Conditioned Uncertainty Targets for Verbal Uncertainty Alignment

    Jun 9, 2026Kaiwen Shi, Zheyuan Zhang, Yanfang YeLarge Language Model UncertaintyInterpretable Uncertainty

  46. Code Is More Than Text: Uncertainty Estimation for Code Generation

    Jun 8, 2026Yuling Shi, Caiqi Zhang, Yuexian Li +4AI Code GenerationLarge Language Model Uncertainty

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

    Jun 7, 2026Subramanyam SahooLarge Language Model UncertaintyInformation Gap

  48. LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving

    Jun 7, 2026Ruoyu Yao, Pei Liu, Ruiguo Zhong +3Autonomous DrivingVision-Language Model Reasoning

  49. Personalized and Robust Proactive Robot Assistance with Uncertainty-Guided LLM Reasoning

    Jun 7, 2026Alvaro Gonzalez, M. H. Hasan Shovo, Ali AyubHuman-Robot InteractionLarge Language Model Uncertainty

  50. Staying with the Uncertainty: Uncertainty-Scaffolding Strategies for Artificial Moral Advisors in LLM-to-LLM Simulated Conversations

    Jun 4, 2026Salvatore Greco, Hainiu Xu, Jacopo Domenicucci +2Large Language Model UncertaintyMoral Reasoning

  51. Integrating Local and Global Entropy for Uncertainty Quantification in LLMs

    Jun 2, 2026Johanne Medina, Tianyi Zhou, Keivin Isufaj +2Large Language Model UncertaintyUncertainty Quantification

  52. Clustered Self-Assessment: A Simple yet Effective Method for Uncertainty Quantification in Large Language Models

    Jun 2, 2026Qi Cao, Takeshi Kojima, Andrew Gambardella +3Large Language Model UncertaintyUncertainty Quantification

  53. Uncertainty-Aware Clarification in LLM Agents with Information Gain

    Jun 2, 2026Mengyi Deng, Zhiwei Li, Xin Li +4Large Language Model AgentsLarge Language Model Uncertainty

  54. On the Salience of Low-Probability Tokens for AI-Generated Text Detection: A Multiscale Uncertainty Perspective

    Jun 1, 2026Yikai Guo, Bin Wang, Xilai Fan +2Machine-Generated Text DetectionLarge Language Model Uncertainty

  55. The Role of Ambiguity in Error Prediction via Uncertainty Quantification

    Jun 1, 2026Ieva Raminta Staliūnaitė, James Bishop, Andreas VlachosLarge Language Model UncertaintyPointwise Forecasting Losses

  56. Does Compression Preserve Uncertainty? A Unified Benchmark for Quantized and Sparse LLMs via Conformal Prediction

    Jun 1, 2026Yujia Tong, Yuxi Wang, Yunyang Wan +3Large Language Model UncertaintyLarge Language Model Compression

  57. Fine-Tuning Improves Information Conveyance in Language Models

    May 29, 2026Yuwei Cheng, Weiyi Tian, Haifeng XuLarge Language Model Fine-TuningToken-Level Entropy

  58. Human-Alignment, Calibration, and Activation Patterns in Large Language Model Uncertainty

    May 29, 2026Kyle Moore, Jesse Roberts, Daryl Watson +2Large Language Model UncertaintyLarge Language Model Alignment

  59. Conf-Gen: Conformal Uncertainty Quantification for Generative Models

    May 27, 2026Gabriel Loaiza-Ganem, Kevin Zhang, Wei Cui +2Large Language Model UncertaintyGenerative Artificial Intelligence

  60. Can LLMs Use Linguistic Uncertainty Markers to Reliably Reflect Intrinsic Confidence?

    May 27, 2026Gabrielle Kaili-May Liu, Arman CohanLarge Language Model UncertaintyConfidence Calibration