{"total":14,"rows":[{"id":"2508.16456","title":"A Probabilistic Inference Scaling Theory for LLM Self-Correction","created":"2025-08-22","cited_by_count":9,"area":null},{"id":"2601.03851","title":"Rethinking Table Pruning in TableQA: From Sequential Revisions to Gold Trajectory-Supervised Parallel Search","created":"2026-01-07","cited_by_count":8,"area":null},{"id":"2505.16170","title":"When Do LLMs Admit Their Mistakes? Understanding The Role Of Model Belief In Retraction","created":"2025-05-22","cited_by_count":6,"area":null},{"id":"2510.24505","title":"CritiCal: Can Critique Help LLM Uncertainty or Confidence Calibration?","created":"2025-10-28","cited_by_count":4,"area":null},{"id":"2604.22271","title":"How LLMs Detect and Correct Their Own Errors: The Role of Internal Confidence Signals","created":"2026-04-24","cited_by_count":3,"area":null},{"id":"2606.23196","title":"When Does Intrinsic Self-Correction Help? A Task-Sensitive Analysis","created":"2026-06-22","cited_by_count":3,"area":null},{"id":"2601.01446","title":"iFlip: Iterative Feedback-driven Counterfactual Example Refinement","created":"2026-01-04","cited_by_count":1,"area":null},{"id":"2601.19245","title":"Beyond In-Domain Detection: SpikeScore for Cross-Domain Hallucination Detection","created":"2026-01-27","cited_by_count":1,"area":null},{"id":"2604.25130","title":"LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization","created":"2026-04-28","cited_by_count":1,"area":null},{"id":"2604.18245","title":"Correction and Corruption: A Two-Rate View of Error Flow in LLM Protocols","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2608.06614","title":"Factorized Hypothesis Search for Evidence-to-Taxonomy Retrieval","created":"2026-08-06","cited_by_count":0,"area":null},{"id":"2608.16003","title":"Prior Audit-Repair Context Shifts LLM Verifier Thresholds Toward Leniency","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2609.35832","title":"When Should LLMs Trust Their Own Revisions? A Risk-Aware Study of Intrinsic Self-Correction","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2610.16452","title":"Not Every Cue Is Evidence: Cue Supportability for Forensic Distillation in Face Forgery Detection","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}