{"total":21,"rows":[{"id":"2407.14507","title":"Internal Consistency and Self-Feedback in Large Language Models: A Survey","created":"2024-07-19","cited_by_count":50,"area":"lr"},{"id":"2502.17026","title":"Understanding the Uncertainty of LLM Explanations: A Perspective Based on Reasoning Topology","created":"2025-02-24","cited_by_count":25,"area":"lr"},{"id":"2505.11737","title":"TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning","created":"2025-05-16","cited_by_count":24,"area":"lr"},{"id":"2506.09338","title":"Know What You Don't Know: Uncertainty Calibration of Process Reward Models","created":"2025-06-11","cited_by_count":21,"area":"lr"},{"id":"2504.00762","title":"Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute","created":"2025-04-01","cited_by_count":20,"area":"lr"},{"id":"2412.15176","title":"Rethinking Uncertainty Estimation in LLMs: A Principled Single-Sequence Measure","created":"2024-12-19","cited_by_count":18,"area":"lr"},{"id":"2412.09572","title":"Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty","created":"2024-12-12","cited_by_count":11,"area":"lr"},{"id":"2604.17112","title":"Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification","created":"2026-04-18","cited_by_count":10,"area":"lr"},{"id":"2408.12249","title":"LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction","created":"2024-08-22","cited_by_count":9,"area":"lr"},{"id":"2605.06908","title":"Same Signal, Opposite Meaning: Direction-Informed Adaptive Learning for LLM Agents","created":"2026-05-07","cited_by_count":8,"area":"lr"},{"id":"2510.02377","title":"Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems","created":"2025-09-30","cited_by_count":6,"area":"lr"},{"id":"2510.05987","title":"Sample Smart, Not Hard: Correctness-First Decoding for Better Reasoning in LLMs","created":"2025-10-07","cited_by_count":5,"area":"lr"},{"id":"2511.17170","title":"Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models","created":"2025-11-21","cited_by_count":5,"area":"lr"},{"id":"2506.11166","title":"Test-Time-Scaling for Zero-Shot Diagnosis with Visual-Language Reasoning","created":"2025-06-11","cited_by_count":3,"area":"lr"},{"id":"2605.01133","title":"When Embedding-Based Defenses Fail: Rethinking Safety in LLM-Based Multi-Agent Systems","created":"2026-05-01","cited_by_count":2,"area":"lr"},{"id":"2606.17312","title":"Quantifying Consistency in LLM Logical Reasoning via Structural Uncertainty","created":"2026-06-15","cited_by_count":2,"area":"lr"},{"id":"2603.07528","title":"TableMind++: An Uncertainty-Aware Programmatic Agent for Tool-Augmented Table Reasoning","created":"2026-03-08","cited_by_count":1,"area":"lr"},{"id":"2608.28018","title":"Twin Worlds: Equivariance-Based Abstention for Evidence-Grounded Reasoning","created":"2026-08-28","cited_by_count":1,"area":"lr"},{"id":"2602.02427","title":"Embedding Perturbation may Better Reflect Intermediate-Step Uncertainty in LLM Reasoning","created":"2026-02-02","cited_by_count":0,"area":"lr"},{"id":"2608.06170","title":"Prior-SG: Task and Prior Driven Region Segmentation for Scene Graphs in Arbitrarily-Structured Environments","created":"2026-08-06","cited_by_count":0,"area":"lr"},{"id":"2609.04543","title":"From Answers to Interpretations: Rethinking Ambiguity-Induced Aleatoric Uncertainty Estimation in LLMs","created":"2026-09-03","cited_by_count":0,"area":"lr"}],"next_cursor":null}