{"total":71,"rows":[{"id":"2412.05563","title":"A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions","created":"2024-12-07","cited_by_count":121,"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":"2506.00245","title":"Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity","created":"2025-05-30","cited_by_count":28,"area":null},{"id":"2505.08200","title":"A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs","created":"2025-05-13","cited_by_count":21,"area":null},{"id":"2502.14427","title":"Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models","created":"2025-02-20","cited_by_count":18,"area":null},{"id":"2502.16820","title":"Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses","created":"2025-02-24","cited_by_count":18,"area":null},{"id":"2504.19254","title":"Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble Scorers","created":"2025-04-27","cited_by_count":18,"area":null},{"id":"2511.04418","title":"The Illusion of Certainty: Uncertainty Quantification for LLMs Fails under Ambiguity","created":"2025-11-06","cited_by_count":17,"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":"2601.12471","title":"Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty","created":"2026-01-18","cited_by_count":15,"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":"2510.04849","title":"When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA","created":"2025-10-06","cited_by_count":14,"area":null},{"id":"2407.21057","title":"Multi-group Uncertainty Quantification for Long-form Text Generation","created":"2024-07-25","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":"2412.20251","title":"ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty","created":"2024-12-28","cited_by_count":10,"area":null},{"id":"2408.10692","title":"Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models","created":"2024-08-20","cited_by_count":9,"area":null},{"id":"2507.06196","title":"UQLM: A Python Package for Uncertainty Quantification in Large Language Models","created":"2025-07-08","cited_by_count":9,"area":null},{"id":"2412.15557","title":"MORTAR: Multi-turn Metamorphic Testing for LLM-based Dialogue Systems","created":"2024-12-20","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":"2512.18880","title":"Can LLMs Estimate Student Struggles? Human-AI Difficulty Alignment with Proficiency Simulation for Item Difficulty Prediction","created":"2025-12-21","cited_by_count":7,"area":null},{"id":"2506.09684","title":"Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models","created":"2025-06-11","cited_by_count":6,"area":null},{"id":"2508.05534","title":"CoCoLex: Confidence-guided Copy-based Decoding for Grounded Legal Text Generation","created":"2025-08-07","cited_by_count":6,"area":null},{"id":"2510.18731","title":"Mitigating Lost in Multi-turn Conversation via Curriculum RL with Verifiable Accuracy and Abstention Rewards","created":"2025-10-21","cited_by_count":6,"area":null},{"id":"2604.05306","title":"LLMs Should Express Uncertainty Explicitly","created":"2026-04-07","cited_by_count":6,"area":null},{"id":"2412.02904","title":"Enhancing Trust in Large Language Models via Uncertainty-Calibrated Fine-Tuning","created":"2024-12-03","cited_by_count":5,"area":null},{"id":"2505.19060","title":"UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models","created":"2025-05-25","cited_by_count":5,"area":null},{"id":"2505.21115","title":"Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA","created":"2025-05-27","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":"2502.14268","title":"MCQA-Eval: Efficient Confidence Evaluation in NLG with Gold-Standard Correctness Labels","created":"2025-02-20","cited_by_count":4,"area":null},{"id":"2505.15386","title":"RePPL: Recalibrating Perplexity by Uncertainty in Semantic Propagation and Language Generation for Explainable QA Hallucination Detection","created":"2025-05-21","cited_by_count":4,"area":null},{"id":"2511.20284","title":"Can LLMs Make (Personalized) Access Control Decisions?","created":"2025-11-25","cited_by_count":4,"area":null},{"id":"2602.17431","title":"Fine-Grained Uncertainty Quantification for Long-Form Language Model Outputs: A Comparative Study","created":"2026-02-19","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":"2508.06030","title":"Efficient Knowledge Probing of Large Language Models by Adapting Pre-trained Embeddings","created":"2025-08-08","cited_by_count":3,"area":null},{"id":"2509.16696","title":"Decoding Uncertainty: The Impact of Decoding Strategies for Uncertainty Estimation in Large Language Models","created":"2025-09-20","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":"2605.28500","title":"Functional Entropy: Predicting Functional Correctness in LLM-Generated Code with Uncertainty Quantification","created":"2026-05-27","cited_by_count":3,"area":null},{"id":"2505.23996","title":"Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs","created":"2025-05-29","cited_by_count":2,"area":null},{"id":"2507.18182","title":"SCOPE: Stochastic and Counterbiased Option Placement for Evaluating Large Language Models","created":"2025-07-24","cited_by_count":2,"area":null},{"id":"2510.12699","title":"Generation Space Size: Understanding and Calibrating Open-Endedness of LLM Generations","created":"2025-10-14","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":"2601.15690","title":"From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language Models","created":"2026-01-22","cited_by_count":2,"area":null},{"id":"2602.11908","title":"When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation","created":"2026-02-12","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":"2608.02528","title":"Uncertainty Is Not Enough: Value-of-Information Routing for Mixtures of LoRA Experts","created":"2026-08-03","cited_by_count":2,"area":null},{"id":"2505.13585","title":"Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles","created":"2025-05-19","cited_by_count":1,"area":null},{"id":"2511.17081","title":"MUCH: A Multilingual Claim Hallucination Benchmark","created":"2025-11-21","cited_by_count":1,"area":null},{"id":"2602.16039","title":"How Uncertain Is the Grade? A Benchmark of Uncertainty Metrics for LLM-Based Automatic Assessment","created":"2026-02-17","cited_by_count":1,"area":null},{"id":"2603.20161","title":"Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models","created":"2026-03-20","cited_by_count":1,"area":null},{"id":"2604.11662","title":"A Robust Evaluation of Probe Robustness: Lessons for Reliable OOD Uncertainty Quantification","created":"2026-04-13","cited_by_count":1,"area":null},{"id":"2604.15203","title":"MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events","created":"2026-04-16","cited_by_count":1,"area":null},{"id":"2605.05592","title":"When Can Voting Help, Hurt, or Change Course? Exact Structure of Binary Test-Time Aggregation","created":"2026-05-07","cited_by_count":1,"area":null},{"id":"2605.22864","title":"Reading Calibrated Uncertainty from Language Model Trajectories","created":"2026-05-19","cited_by_count":1,"area":null},{"id":"2609.32248","title":"Anytime-Valid LLM Leaderboards via Benchmark-weighted and Block-Factorized e-Processes","created":"2026-09-26","cited_by_count":1,"area":null},{"id":"2512.05461","title":"Knowing Your Uncertainty -- On the application of LLM in social sciences","created":"2025-12-05","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":"2604.19565","title":"Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps","created":"2026-04-21","cited_by_count":0,"area":null},{"id":"2605.11328","title":"Epistemic Uncertainty for Test-Time Discovery","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2605.19220","title":"Position: Uncertainty Quantification in LLMs is Just Unsupervised Clustering","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":"2606.03846","title":"Clustered Self-Assessment: A Simple yet Effective Method for Uncertainty Quantification in Large Language Models","created":"2026-06-02","cited_by_count":0,"area":null},{"id":"2608.04899","title":"Evaluation Pitfalls and Sparsity Limitations in LLM-based Confidence Estimates for Classification","created":"2026-08-05","cited_by_count":0,"area":null},{"id":"2608.11138","title":"Attention-Path Fragility as an Uncertainty Signal in Large Language Models","created":"2026-08-11","cited_by_count":0,"area":null},{"id":"2608.14659","title":"When Uncertainty Isn't Enough: An Empirical Study of Self-Correction in Code Generation","created":"2026-07-31","cited_by_count":0,"area":null},{"id":"2608.24492","title":"When Do Supervised UQ Ensembles Improve LLM Hallucination Detection? A Robustness Study","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2609.28582","title":"SGA: Uncertainty Quantification for Multi-Step Forecasting in Time Series Foundation Models","created":"2026-09-23","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}],"next_cursor":null}