{"total":90,"rows":[{"id":"2407.18418","title":"Know Your Limits: A Survey of Abstention in Large Language Models","created":"2024-07-25","cited_by_count":121,"area":null},{"id":"2406.15627","title":"Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph","created":"2024-06-21","cited_by_count":105,"area":null},{"id":"2410.13284","title":"Learning to Route LLMs with Confidence Tokens","created":"2024-10-17","cited_by_count":67,"area":null},{"id":"2503.02623","title":"Rewarding Doubt: A Reinforcement Learning Approach to Calibrated Confidence Expression of Large Language Models","created":"2025-03-04","cited_by_count":52,"area":null},{"id":"2503.14477","title":"Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations","created":"2025-03-18","cited_by_count":48,"area":null},{"id":"2502.04964","title":"Uncertainty Quantification for LLMs through Minimum Bayes Risk: Bridging Confidence and Consistency","created":"2025-02-07","cited_by_count":30,"area":null},{"id":"2502.00290","title":"Estimating LLM Uncertainty with Evidence","created":"2025-02-01","cited_by_count":26,"area":null},{"id":"2506.07461","title":"From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered","created":"2025-06-09","cited_by_count":21,"area":null},{"id":"2502.10709","title":"An Empirical Analysis of Uncertainty in Large Language Model Evaluations","created":"2025-02-15","cited_by_count":20,"area":null},{"id":"2504.07863","title":"Robust Hallucination Detection in LLMs via Adaptive Token Selection","created":"2025-04-10","cited_by_count":19,"area":null},{"id":"2508.14496","title":"Semantic Energy: Detecting LLM Hallucination Beyond Entropy","created":"2025-08-20","cited_by_count":18,"area":null},{"id":"2505.20045","title":"Efficient Hallucination Detection for LLMs Using Uncertainty-Aware Attention Heads","created":"2025-05-26","cited_by_count":16,"area":null},{"id":"2505.24778","title":"Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models' Uncertainty?","created":"2025-05-30","cited_by_count":16,"area":null},{"id":"2407.15814","title":"Perceptions of Linguistic Uncertainty by Language Models and Humans","created":"2024-07-22","cited_by_count":15,"area":null},{"id":"2503.19168","title":"Language Model Uncertainty Quantification with Attention Chain","created":"2025-03-24","cited_by_count":14,"area":null},{"id":"2506.09669","title":"Query-Level Uncertainty in Large Language Models","created":"2025-06-11","cited_by_count":14,"area":null},{"id":"2507.10587","title":"Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is Missing","created":"2025-07-11","cited_by_count":14,"area":null},{"id":"2502.11948","title":"HalluEntity: Benchmarking and Understanding Entity-Level Hallucination Detection","created":"2025-02-17","cited_by_count":13,"area":null},{"id":"2510.12040","title":"Uncertainty Quantification for Hallucination Detection in Large Language Models: Foundations, Methodology, and Future Directions","created":"2025-10-14","cited_by_count":11,"area":null},{"id":"2509.04492","title":"Learned Hallucination Detection in Black-Box LLMs using Token-level Entropy Production Rate","created":"2025-09-01","cited_by_count":10,"area":null},{"id":"2505.02130","title":"Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data","created":"2025-05-04","cited_by_count":8,"area":null},{"id":"2411.02603","title":"FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees","created":"2024-11-04","cited_by_count":7,"area":null},{"id":"2411.06528","title":"Epistemic Integrity in Large Language Models","created":"2024-11-10","cited_by_count":7,"area":null},{"id":"2412.05538","title":"Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models","created":"2024-12-07","cited_by_count":7,"area":null},{"id":"2504.04204","title":"Adaptive Elicitation of Latent Information Using Natural Language","created":"2025-04-05","cited_by_count":7,"area":null},{"id":"2510.02279","title":"Addressing Pitfalls in the Evaluation of Uncertainty Estimation Methods for Natural Language Generation","created":"2025-10-02","cited_by_count":7,"area":null},{"id":"2510.02671","title":"Uncertainty as Feature Gaps: Epistemic Uncertainty Quantification of LLMs in Contextual Question-Answering","created":"2025-10-03","cited_by_count":7,"area":null},{"id":"2510.03817","title":"TROLL: Trust Regions improve Reinforcement Learning for Large Language Models","created":"2025-10-04","cited_by_count":7,"area":null},{"id":"2512.01556","title":"LEC: Linear Expectation Constraints for Selection-Conditioned Risk Control in Selective Prediction and Routing Systems","created":"2025-12-01","cited_by_count":7,"area":null},{"id":"2602.13540","title":"On Calibration of Large Language Models: From Response To Capability","created":"2026-02-14","cited_by_count":7,"area":null},{"id":"2504.18114","title":"Evaluating Evaluation Metrics -- The Mirage of Hallucination Detection","created":"2025-04-25","cited_by_count":6,"area":null},{"id":"2506.05497","title":"Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models","created":"2025-06-05","cited_by_count":6,"area":null},{"id":"2509.00461","title":"TECP: Token-Entropy Conformal Prediction for LLMs","created":"2025-08-30","cited_by_count":6,"area":null},{"id":"2411.07858","title":"Verbosity $\\neq$ Veracity: Demystify Verbosity Compensation Behavior of Large Language Models","created":"2024-11-12","cited_by_count":5,"area":null},{"id":"2502.20309","title":"EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants","created":"2025-02-27","cited_by_count":5,"area":null},{"id":"2505.16134","title":"Beyond Early-Token Bias: Model-Specific and Language-Specific Position Effects in Multilingual LLMs","created":"2025-05-22","cited_by_count":5,"area":null},{"id":"2604.27914","title":"Geometry-Calibrated Conformal Abstention for Language Models","created":"2026-04-30","cited_by_count":5,"area":null},{"id":"2504.18346","title":"Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review","created":"2025-04-25","cited_by_count":4,"area":null},{"id":"2503.18562","title":"Self-Reported Confidence of Large Language Models in Gastroenterology: Analysis of Commercial, Open-Source, and Quantized Models","created":"2025-03-24","cited_by_count":3,"area":null},{"id":"2512.09538","title":"Don't Throw Away Your Beams: Improving Consistency-based Uncertainties in LLMs via Beam Search","created":"2025-12-10","cited_by_count":3,"area":null},{"id":"2601.21500","title":"Task-Awareness Improves LLM Generations and Uncertainty","created":"2026-01-29","cited_by_count":3,"area":null},{"id":"2502.00507","title":"A statistically consistent measure of semantic uncertainty using Language Models","created":"2025-02-01","cited_by_count":2,"area":null},{"id":"2502.08631","title":"Ensemble based approach to quantifying uncertainty of LLM based classifications","created":"2025-02-12","cited_by_count":2,"area":null},{"id":"2510.13103","title":"ESI: Epistemic Uncertainty Quantification via Semantic-preserving Intervention for Large Language Models","created":"2025-10-15","cited_by_count":2,"area":null},{"id":"2510.21310","title":"Efficient semantic uncertainty quantification in language models via diversity-steered sampling","created":"2025-10-24","cited_by_count":2,"area":null},{"id":"2512.08810","title":"Multicalibration for LLM-based Code Generation","created":"2025-12-09","cited_by_count":2,"area":null},{"id":"2603.15653","title":"Recursive Language Models Meet Uncertainty: The Surprising Effectiveness of Self-Reflective Program Search for Long Context","created":"2026-03-07","cited_by_count":2,"area":null},{"id":"2605.06053","title":"Towards Generation-Efficient Uncertainty Estimation in Large Language Models","created":"2026-05-07","cited_by_count":2,"area":null},{"id":"2605.28778","title":"Can LLMs Use Linguistic Uncertainty Markers to Reliably Reflect Intrinsic Confidence?","created":"2026-05-27","cited_by_count":2,"area":null},{"id":"2606.19868","title":"A Systematic Evaluation of Black-Box Uncertainty Estimation Methods for Large Language Models","created":"2026-06-18","cited_by_count":2,"area":null},{"id":"2503.05505","title":"Correctness Coverage Evaluation for Medical Multiple-Choice Question Answering Based on the Enhanced Conformal Prediction Framework","created":"2025-03-07","cited_by_count":1,"area":null},{"id":"2505.15443","title":"ALIEN: Aligned Entropy Head for Improving Uncertainty Estimation of LLMs","created":"2025-05-21","cited_by_count":1,"area":null},{"id":"2505.17855","title":"Explaining Sources of Uncertainty in Automated Fact-Checking","created":"2025-05-23","cited_by_count":1,"area":null},{"id":"2506.19563","title":"PrivacyXray: Detecting Privacy Breaches in LLMs through Semantic Consistency and Probability Certainty","created":"2025-06-24","cited_by_count":1,"area":null},{"id":"2509.22380","title":"Multidimensional Uncertainty Quantification via Optimal Transport","created":"2025-09-26","cited_by_count":1,"area":null},{"id":"2510.19507","title":"Teaming LLMs to Detect and Mitigate Hallucinations","created":"2025-10-22","cited_by_count":1,"area":null},{"id":"2601.23094","title":"Safer Policy Compliance with Dynamic Epistemic Fallback","created":"2026-01-30","cited_by_count":1,"area":null},{"id":"2604.13991","title":"Adaptive Conformal Prediction for Improving Factuality of Generations by Large Language Models","created":"2026-04-15","cited_by_count":1,"area":null},{"id":"2604.15109","title":"IUQ: Interrogative Uncertainty Quantification for Long-Form Large Language Model Generation","created":"2026-04-16","cited_by_count":1,"area":null},{"id":"2606.06959","title":"OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios","created":"2026-06-05","cited_by_count":1,"area":null},{"id":"2606.12587","title":"Strategic Decision Support for AI Agents","created":"2026-06-10","cited_by_count":1,"area":null},{"id":"2607.04430","title":"Uncertainty-Aware Abstention in Large Language Models with Provable Alignment Guarantees","created":"2026-07-05","cited_by_count":1,"area":null},{"id":"2607.11881","title":"Metacognition in LLMs: Foundations, Progress, and Opportunities","created":"2026-07-13","cited_by_count":1,"area":null},{"id":"2608.05439","title":"SCP-NL2TL: Selective Conformal Prediction with Semantic Verification for Natural Language to Temporal Logic Specifications","created":"2026-08-05","cited_by_count":1,"area":null},{"id":"2507.03998","title":"Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features","created":"2025-07-05","cited_by_count":0,"area":null},{"id":"2601.15645","title":"Towards Reliable Medical LLMs: Benchmarking and Enhancing Confidence Estimation of Large Language Models in Medical Consultation","created":"2026-01-22","cited_by_count":0,"area":null},{"id":"2602.14529","title":"Disentangling Deception and Hallucination Failures in LLMs","created":"2026-02-16","cited_by_count":0,"area":null},{"id":"2603.26363","title":"A Formal Framework for Uncertainty Analysis of Text Generation with Large Language Models","created":"2026-03-27","cited_by_count":0,"area":null},{"id":"2604.07825","title":"Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2604.08454","title":"Less Data Approximates More: Earning Faithful Confidence in High-Stakes Domains","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2604.10495","title":"Why Don't You Know? Evaluating the Impact of Uncertainty Sources on Uncertainty Quantification in LLMs","created":"2026-04-12","cited_by_count":0,"area":null},{"id":"2605.04295","title":"LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropy","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2605.04638","title":"Gradients with Respect to Semantics Preserving Embeddings Tell the Uncertainty of Large Language Models","created":"2026-05-06","cited_by_count":0,"area":null},{"id":"2605.17029","title":"Task Abstention for Large Language Models in Code Generation","created":"2026-05-16","cited_by_count":0,"area":null},{"id":"2605.20490","title":"ECUAS$_n$: A family of metrics for principled evaluation of uncertainty-augmented systems","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2605.27016","title":"How Do Uncertainty Estimators Align with Hallucination Occurrence in LLMs?","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2605.28264","title":"Entropy Distribution as a Fingerprint for Hallucinations in Generative Models","created":"2026-05-27","cited_by_count":0,"area":null},{"id":"2606.03628","title":"Building Reliable Long-Form Generation via Hallucination Rejection Sampling","created":"2026-06-02","cited_by_count":0,"area":null},{"id":"2607.05721","title":"SpanUQ: Span-Level Uncertainty Quantification for Large Language Model Generation","created":"2026-07-07","cited_by_count":0,"area":null},{"id":"2607.12687","title":"From Critic to Confidence: PPO for Language-Based Quantitative Prediction with Confidence Estimation","created":"2026-07-14","cited_by_count":0,"area":null},{"id":"2608.19323","title":"Improved Confidence Estimates for Black-Box Large Language Models","created":"2026-08-19","cited_by_count":0,"area":null},{"id":"2608.20630","title":"SAGE: A Unified Algebra and Self-Adaptive Execution for AI Functions in SQL","created":"2026-08-21","cited_by_count":0,"area":null},{"id":"2608.22506","title":"Kernel Token Contradiction: a Fast and Principled Approach for LLM Claim Uncertainty Quantification","created":"2026-08-23","cited_by_count":0,"area":null},{"id":"2609.02679","title":"From Tokens to Semantics: Leveraging Complementary Signals for Hallucination Detection in Black-Box LLMs","created":"2026-09-02","cited_by_count":0,"area":null},{"id":"2609.20541","title":"An Analysis of Training-Free Self-Reported Confidence in Language Models","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2610.00083","title":"\"very likely\" Means \"uncertain\"? How LLMs Diverge from Humans in Linguistic Uncertainty Quantification","created":"2026-09-06","cited_by_count":0,"area":null},{"id":"2610.04239","title":"Conformal Prediction with Paraphrase-Aware Scoring for LLM Uncertainty Quantification","created":"2026-10-03","cited_by_count":0,"area":null},{"id":"2610.06012","title":"Spectral Geometry of Attention: From Information Routing to Uncertainty","created":"2026-10-05","cited_by_count":0,"area":null},{"id":"2610.11300","title":"Characterizing Overconfident Failure in LLM-Based Code Generation","created":"2026-10-08","cited_by_count":0,"area":null},{"id":"2610.19996","title":"Gray-Box Hallucination Detection in LLMs with Token Identities","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}