{"total":17,"rows":[{"id":"2207.05221","title":"Language Models (Mostly) Know What They Know","created":"2022-07-11","cited_by_count":1856,"area":"lr"},{"id":"2403.09972","title":"Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection","created":"2024-03-15","cited_by_count":41,"area":"lr"},{"id":"2402.06529","title":"Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity","created":"2024-02-09","cited_by_count":27,"area":"lr"},{"id":"2410.10857","title":"Mirror-Consistency: Harnessing Inconsistency in Majority Voting","created":"2024-10-07","cited_by_count":17,"area":"lr"},{"id":"2506.08243","title":"Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic","created":"2025-06-09","cited_by_count":11,"area":"lr"},{"id":"2602.01288","title":"EDIS: Diagnosing LLM Reasoning via Entropy Dynamics","created":"2026-02-01","cited_by_count":10,"area":"lr"},{"id":"2410.01556","title":"Integrative Decoding: Improve Factuality via Implicit Self-consistency","created":"2024-10-02","cited_by_count":8,"area":"lr"},{"id":"2311.09553","title":"Program-Aided Reasoners (better) Know What They Know","created":"2023-11-16","cited_by_count":3,"area":"lr"},{"id":"2510.27266","title":"Enhancing Trustworthy GUI Grounding via Self-Critiqued Reinforcement Learning","created":"2025-10-31","cited_by_count":3,"area":"lr"},{"id":"2604.19444","title":"Unsupervised Confidence Calibration for Reasoning LLMs from a Single Generation","created":"2026-04-21","cited_by_count":3,"area":"lr"},{"id":"2606.11211","title":"Calibration Drift Under Reasoning: How Chain-of-Thought Budgets Induce Overconfidence in Large Language Models","created":"2026-04-24","cited_by_count":3,"area":"lr"},{"id":"2604.23333","title":"Process Supervision of Confidence Margin for Calibrated LLM Reasoning","created":"2026-04-25","cited_by_count":2,"area":"lr"},{"id":"2511.02197","title":"Open the Oyster: Empirical Evaluation and Improvement of Code Reasoning Confidence in LLMs","created":"2025-11-04","cited_by_count":1,"area":"lr"},{"id":"2605.16999","title":"Ranking-Aware Calibration for Reliable Multimodal Reinforcement Learning","created":"2026-05-16","cited_by_count":1,"area":"lr"},{"id":"2606.10307","title":"Early-Token Confidence Predicts Reasoning Quality in Multi-Agent LLM Debate","created":"2026-06-09","cited_by_count":1,"area":"lr"},{"id":"2607.13753","title":"Post-Training Shifts Confidence: A Three-Stage Analysis of How SFT, RL, and OPD Shape CoT Calibration","created":"2026-07-15","cited_by_count":1,"area":"lr"},{"id":"2603.17811","title":"Dropout Robustness and Cognitive Profiling of Transformer Models via Stochastic Inference","created":"2026-03-18","cited_by_count":0,"area":"lr"}],"next_cursor":null}