{"total":24,"rows":[{"id":"2305.11738","title":"CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing","created":"2023-05-19","cited_by_count":783,"area":"lr"},{"id":"2301.12726","title":"Specializing Smaller Language Models towards Multi-Step Reasoning","created":"2023-01-30","cited_by_count":251,"area":"lr"},{"id":"2212.08061","title":"On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning","created":"2022-12-15","cited_by_count":194,"area":"lr"},{"id":"2302.12246","title":"Active Prompting with Chain-of-Thought for Large Language Models","created":"2023-02-23","cited_by_count":154,"area":"lr"},{"id":"2310.03094","title":"Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning","created":"2023-10-04","cited_by_count":143,"area":"lr"},{"id":"2306.03872","title":"Deductive Verification of Chain-of-Thought Reasoning","created":"2023-06-06","cited_by_count":124,"area":"lr"},{"id":"2306.06427","title":"Boosting Language Models Reasoning with Chain-of-Knowledge Prompting","created":"2023-06-10","cited_by_count":77,"area":"lr"},{"id":"2310.04928","title":"Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU","created":"2023-10-07","cited_by_count":53,"area":"lr"},{"id":"2405.10431","title":"Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models","created":"2024-05-16","cited_by_count":45,"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":"2309.07694","title":"Tree of Uncertain Thoughts Reasoning for Large Language Models","created":"2023-09-14","cited_by_count":19,"area":"lr"},{"id":"2408.05093","title":"Order Matters in Hallucination: Reasoning Order as Benchmark and Reflexive Prompting for Large-Language-Models","created":"2024-08-09","cited_by_count":12,"area":"lr"},{"id":"2310.04484","title":"Ada-Instruct: Adapting Instruction Generators for Complex Reasoning","created":"2023-10-06","cited_by_count":11,"area":"lr"},{"id":"2506.08410","title":"Large Language Models Have Intrinsic Meta-Cognition, but Need a Good Lens","created":"2025-06-10","cited_by_count":10,"area":"lr"},{"id":"2504.05632","title":"Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning","created":"2025-04-08","cited_by_count":5,"area":"lr"},{"id":"2509.11569","title":"D$^2$HScore: Reasoning-Aware Hallucination Detection via Semantic Breadth and Depth Analysis in LLMs","created":"2025-09-15","cited_by_count":5,"area":"lr"},{"id":"2603.10384","title":"Beyond Scalars: Evaluating and Understanding LLM Reasoning via Geometric Progress and Stability","created":"2026-03-11","cited_by_count":5,"area":"lr"},{"id":"2505.17089","title":"Chain-of-Thought Driven Adversarial Scenario Extrapolation for Robust Language Models","created":"2025-05-20","cited_by_count":4,"area":"lr"},{"id":"2402.02648","title":"Recursive Chain-of-Feedback Prevents Performance Degradation from Redundant Prompting","created":"2024-02-05","cited_by_count":3,"area":"lr"},{"id":"2404.03577","title":"Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language Models","created":"2024-04-04","cited_by_count":3,"area":"lr"},{"id":"2602.02366","title":"ReasonCACHE: Teaching LLMs To Reason Without Weight Updates","created":"2026-02-02","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":"2512.03082","title":"Alleviating Choice Supportive Bias in LLM with Reasoning Dependency Generation","created":"2025-11-28","cited_by_count":0,"area":"lr"},{"id":"2610.20292","title":"Taking the PULSE of Medical Reasoning: Step-Level Retrieval Timing for Knowledge-Grounded Inference","created":"2026-10-14","cited_by_count":0,"area":"lr"}],"next_cursor":null}