{"total":27,"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":"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":"2501.00555","title":"Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction","created":"2024-12-31","cited_by_count":18,"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":"2512.24661","title":"Do Large Language Models Know What They Are Capable Of?","created":"2025-12-31","cited_by_count":10,"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":"2503.10628","title":"Uncertainty in Action: Confidence Elicitation in Embodied Agents","created":"2025-03-13","cited_by_count":5,"area":null},{"id":"2501.16718","title":"Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection","created":"2025-01-28","cited_by_count":4,"area":null},{"id":"2507.06489","title":"On the Robustness of Verbal Confidence of LLMs in Adversarial Attacks","created":"2025-07-09","cited_by_count":3,"area":null},{"id":"2512.05456","title":"Do We Really Even Need Data? A Modern Look at Drawing Inference with Predicted Data","created":"2025-12-05","cited_by_count":3,"area":null},{"id":"2408.11249","title":"The Dilemma of Uncertainty Estimation for General Purpose AI in the EU AI Act","created":"2024-08-20","cited_by_count":2,"area":null},{"id":"2412.17411","title":"Pretraining with random noise for uncertainty calibration","created":"2024-12-23","cited_by_count":1,"area":null},{"id":"2507.07511","title":"Uncertainty Quantification for Motor Imagery BCI -- Machine Learning vs. Deep Learning","created":"2025-07-10","cited_by_count":1,"area":null},{"id":"2602.18867","title":"Similarity-as-Evidence: Calibrating Overconfident VLMs for Interpretable and Label-Efficient Medical Active Learning","created":"2026-02-21","cited_by_count":1,"area":null},{"id":"2605.15588","title":"Calibrating LLMs with Semantic-level Reward","created":"2026-05-15","cited_by_count":1,"area":null},{"id":"2606.00251","title":"Capability Self-Assessment in Large Language Models","created":"2026-05-29","cited_by_count":1,"area":null},{"id":"2504.12098","title":"Gauging Overprecision in LLMs: An Empirical Study","created":"2025-04-16","cited_by_count":0,"area":null},{"id":"2603.09985","title":"The Dunning-Kruger Effect in Large Language Models: An Empirical Study of Confidence Calibration","created":"2026-02-12","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":"2605.02010","title":"Reliable AI Needs to Externalize Implicit Knowledge: A Human-AI Collaboration Perspective","created":"2026-05-03","cited_by_count":0,"area":null},{"id":"2607.12273","title":"Code-MUE: Measuring Code LLMs' Uncertainty through Execution-based Semantic Interaction Graphs","created":"2026-07-14","cited_by_count":0,"area":null},{"id":"2608.09080","title":"When Confidence Fails: Overconfidence in LLMs under Uncertainty and Missing Clinical Information","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2608.23845","title":"Object Counting Across Modalities: Taxonomies, Benchmarks, Applications, and Open Challenges","created":"2026-08-24","cited_by_count":0,"area":null},{"id":"2608.31022","title":"MNIST-PRO: MNIST is Back as a Partially Observable World for AI Agents","created":"2026-08-31","cited_by_count":0,"area":null},{"id":"2609.17882","title":"Can VLMs Reliably Assess Sidewalk Accessibility Attributes from Pedestrian-Level Imagery?","created":"2026-09-15","cited_by_count":0,"area":null},{"id":"2609.24881","title":"Pinocchio: Fast Uncertainty Estimates for Black-Box Language Models","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2609.34270","title":"Bayesian Active Learning for Intent Disambiguation in Interactive Robot Planning","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}