{"total":83,"rows":[{"id":"2308.03188","title":"Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies","created":"2023-08-06","cited_by_count":238,"area":"lr"},{"id":"2406.00922","title":"MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning","created":"2024-06-03","cited_by_count":154,"area":"lr"},{"id":"2502.02542","title":"OverThink: Slowdown Attacks on Reasoning LLMs","created":"2025-02-04","cited_by_count":96,"area":"lr"},{"id":"2503.15850","title":"Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey","created":"2025-03-20","cited_by_count":95,"area":"lr"},{"id":"2402.08785","title":"InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment","created":"2024-02-13","cited_by_count":56,"area":"lr"},{"id":"2502.19328","title":"Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems","created":"2025-02-26","cited_by_count":51,"area":"lr"},{"id":"2502.01839","title":"Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification","created":"2025-02-03","cited_by_count":50,"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":"2410.06458","title":"LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints","created":"2024-10-09","cited_by_count":35,"area":"lr"},{"id":"2404.00376","title":"Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks","created":"2024-03-30","cited_by_count":30,"area":"lr"},{"id":"2410.15595","title":"A Comprehensive Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications","created":"2024-10-21","cited_by_count":27,"area":"lr"},{"id":"2311.09702","title":"Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination?","created":"2023-11-16","cited_by_count":26,"area":"lr"},{"id":"2410.01782","title":"Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models","created":"2024-10-02","cited_by_count":25,"area":"lr"},{"id":"2410.08085","title":"Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering","created":"2024-10-10","cited_by_count":24,"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":"2311.16842","title":"RELIC: Investigating Large Language Model Responses using Self-Consistency","created":"2023-11-28","cited_by_count":23,"area":"lr"},{"id":"2506.17088","title":"Chain-of-Thought Prompting Obscures Hallucination Cues in Large Language Models: An Empirical Evaluation","created":"2025-06-20","cited_by_count":21,"area":"lr"},{"id":"2506.19807","title":"KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality","created":"2025-06-24","cited_by_count":20,"area":"lr"},{"id":"2501.09751","title":"OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking","created":"2025-01-16","cited_by_count":18,"area":"lr"},{"id":"2410.13298","title":"Advancing Large Language Model Attribution through Self-Improving","created":"2024-10-17","cited_by_count":14,"area":"lr"},{"id":"2501.13080","title":"Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment","created":"2025-01-22","cited_by_count":14,"area":"lr"},{"id":"2511.01758","title":"RLAC: Reinforcement Learning with Adversarial Critic for Free-Form Generation Tasks","created":"2025-11-03","cited_by_count":13,"area":"lr"},{"id":"2409.07355","title":"Think Together and Work Better: Combining Humans' and LLMs' Think-Aloud Outcomes for Effective Text Evaluation","created":"2024-09-11","cited_by_count":12,"area":"lr"},{"id":"2505.23495","title":"Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking","created":"2025-05-29","cited_by_count":12,"area":"lr"},{"id":"2310.01290","title":"Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models","created":"2023-10-02","cited_by_count":11,"area":"lr"},{"id":"2405.13131","title":"Atomic Self-Consistency for Better Long Form Generations","created":"2024-05-21","cited_by_count":10,"area":"lr"},{"id":"2409.00781","title":"Generating Media Background Checks for Automated Source Critical Reasoning","created":"2024-09-01","cited_by_count":10,"area":"lr"},{"id":"2501.09957","title":"FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs","created":"2025-01-17","cited_by_count":8,"area":"lr"},{"id":"2402.03469","title":"Rethinking the Role of Proxy Rewards in Language Model Alignment","created":"2024-02-02","cited_by_count":7,"area":"lr"},{"id":"2402.10744","title":"GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models","created":"2024-02-16","cited_by_count":7,"area":"lr"},{"id":"2402.15631","title":"Fine-Grained Self-Endorsement Improves Factuality and Reasoning","created":"2024-02-23","cited_by_count":7,"area":"lr"},{"id":"2410.23114","title":"Unified Triplet-Level Hallucination Evaluation for Large Vision-Language Models","created":"2024-10-30","cited_by_count":7,"area":"lr"},{"id":"2509.24816","title":"KnowGuard: Knowledge-Driven Abstention for Multi-Round Clinical Reasoning","created":"2025-09-29","cited_by_count":7,"area":"lr"},{"id":"2505.12348","title":"Reasoning-CV: Fine-tuning Powerful Reasoning LLMs for Knowledge-Assisted Claim Verification","created":"2025-05-18","cited_by_count":6,"area":"lr"},{"id":"2607.22962","title":"ConsistencyGate: Preventing Memory Contamination in LLM Agents via Self-Consistency Admission Control","created":"2026-07-25","cited_by_count":6,"area":"lr"},{"id":"2507.05424","title":"\"Lost-in-the-Later\": Framework for Quantifying Contextual Grounding in Large Language Models","created":"2025-07-07","cited_by_count":5,"area":"lr"},{"id":"2508.06361","title":"Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts","created":"2025-08-08","cited_by_count":5,"area":"lr"},{"id":"2509.10004","title":"Unsupervised Hallucination Detection by Inspecting Reasoning Processes","created":"2025-09-12","cited_by_count":5,"area":"lr"},{"id":"2510.09275","title":"Inflated Excellence or True Performance? Rethinking Medical Diagnostic Benchmarks with Dynamic Evaluation","created":"2025-10-10","cited_by_count":5,"area":"lr"},{"id":"2608.31075","title":"Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence","created":"2026-08-31","cited_by_count":5,"area":"lr"},{"id":"2502.11959","title":"STRIVE: Structured Reasoning for Self-Improvement in Claim Verification","created":"2025-02-17","cited_by_count":3,"area":"lr"},{"id":"2505.11824","title":"Latent Veracity Inference for Identifying Errors in Stepwise Reasoning","created":"2025-05-17","cited_by_count":3,"area":"lr"},{"id":"2510.10448","title":"RECON: Reasoning with Condensation for Efficient Retrieval-Augmented Generation","created":"2025-10-12","cited_by_count":3,"area":"lr"},{"id":"2608.15191","title":"When Deep Research Agents Stagnate: Enhancing Reasoning with Retrieval-Aware Agent Control","created":"2026-08-15","cited_by_count":3,"area":"lr"},{"id":"2402.08498","title":"\"Reasoning\" with Rhetoric: On the Style-Evidence Tradeoff in LLM-Generated Counter-Arguments","created":"2024-02-13","cited_by_count":2,"area":"lr"},{"id":"2502.13416","title":"Detecting LLM Fact-conflicting Hallucinations Enhanced by Temporal-logic-based Reasoning","created":"2025-02-19","cited_by_count":2,"area":"lr"},{"id":"2504.05732","title":"LLM$\\times$MapReduce-V2: Entropy-Driven Convolutional Test-Time Scaling for Generating Long-Form Articles from Extremely Long Resources","created":"2025-04-08","cited_by_count":2,"area":"lr"},{"id":"2506.04583","title":"SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing","created":"2025-06-05","cited_by_count":2,"area":"lr"},{"id":"2508.11995","title":"AgentCDM: Enhancing Multi-Agent Collaborative Decision-Making via ACH-Inspired Structured Reasoning","created":"2025-08-16","cited_by_count":2,"area":"lr"},{"id":"2308.04711","title":"Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval","created":"2023-08-09","cited_by_count":1,"area":"lr"},{"id":"2504.14462","title":"CoLoTa: A Dataset for Entity-based Commonsense Reasoning over Long-Tail Knowledge","created":"2025-04-20","cited_by_count":1,"area":"lr"},{"id":"2510.18817","title":"Fine-Tuned Thoughts: Leveraging Chain-of-Thought Reasoning for Industrial Asset Health Monitoring","created":"2025-10-21","cited_by_count":1,"area":"lr"},{"id":"2601.15050","title":"Beyond Factual Accuracy: Evaluating Global Reasoning Integrity in RAG Systems with LogicScore","created":"2026-01-21","cited_by_count":1,"area":"lr"},{"id":"2603.13256","title":"Training-Free Agentic AI: Probabilistic Control and Coordination in Multi-Agent LLM Systems","created":"2026-02-24","cited_by_count":1,"area":"lr"},{"id":"2605.31238","title":"Scaling Multi-Hop Training Data via Graph-Constrained Path Selection","created":"2026-05-29","cited_by_count":1,"area":"lr"},{"id":"2608.07931","title":"REIN: Bridging the Gap between Reasoning and Reliability via Reflection and Abstention Alignment","created":"2026-08-08","cited_by_count":1,"area":"lr"},{"id":"2608.12337","title":"From Refuse to Richness: Rubric Rewards for Long-Form Hallucination Reinforcement Learning","created":"2026-06-03","cited_by_count":1,"area":"lr"},{"id":"2609.12459","title":"EvoRS: On-Policy Self-Evolution of Reward Systems for Open-Ended Reinforcement Learning","created":"2026-09-11","cited_by_count":1,"area":"lr"},{"id":"2512.08944","title":"Enhancing Reliability across Short and Long-Form QA via Reinforcement Learning","created":"2025-11-19","cited_by_count":0,"area":"lr"},{"id":"2601.22361","title":"MERMAID: Memory-Enhanced Retrieval and Reasoning with Multi-Agent Iterative Knowledge Grounding for Veracity Assessment","created":"2026-01-29","cited_by_count":0,"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":"2603.22367","title":"Reasoner-Executor-Synthesizer: Scalable Agentic Architecture with Static O(1) Context Window","created":"2026-03-23","cited_by_count":0,"area":"lr"},{"id":"2605.01482","title":"Grounding Multi-Hop Reasoning in Structural Causal Models via Group Relative Policy Optimization","created":"2026-05-02","cited_by_count":0,"area":"lr"},{"id":"2605.01749","title":"Only Say What You Know: Calibration-Aware Generation for Long-Form Factuality","created":"2026-05-03","cited_by_count":0,"area":"lr"},{"id":"2605.04761","title":"Cognitive Twins: Investigating Personalized Thinking Model Building and Its Performance Enhancement with Human-in-the-Loop","created":"2026-05-06","cited_by_count":0,"area":"lr"},{"id":"2605.12918","title":"CommonWhy: A Dataset for Evaluating Entity-Based Causal Commonsense Reasoning in Large Language Models","created":"2026-05-13","cited_by_count":0,"area":"lr"},{"id":"2605.14636","title":"Teaching Large Language Models When Not to Know: Learning Temporal Critique for Ex-Ante Reasoning","created":"2026-05-14","cited_by_count":0,"area":"lr"},{"id":"2606.04435","title":"Cascading Hallucination in Agentic RAG: The CHARM Framework for Detection and Mitigation","created":"2026-06-03","cited_by_count":0,"area":"lr"},{"id":"2607.08017","title":"Can We Trust LLM's Logic? Quantifying Uncertainty, Coherence, and Robustness via a Graph-Based Framework","created":"2026-07-09","cited_by_count":0,"area":"lr"},{"id":"2607.16057","title":"Frontier AI performance across the business disciplines: a case-grounded benchmark of knowledge work and analytical reasoning","created":"2026-07-17","cited_by_count":0,"area":"lr"},{"id":"2607.16211","title":"Accurate and Efficient Long-Term Memory for LLM Agents","created":"2026-05-15","cited_by_count":0,"area":"lr"},{"id":"2607.17417","title":"Grounded verification of chemical and materials reasoning: detection is the bottleneck","created":"2026-07-19","cited_by_count":0,"area":"lr"},{"id":"2608.07813","title":"When the Judge Should Not Decide: Evidence-Locked, Non-Compensatory Selection Bounds LLM-Judge Failure in Reasoning Pipelines","created":"2026-08-07","cited_by_count":0,"area":"lr"},{"id":"2608.24024","title":"Beyond Confidence: Test-Time Scaling for Multi-Turn Search Agents via Retrieval Grounding","created":"2026-08-25","cited_by_count":0,"area":"lr"},{"id":"2608.25580","title":"V-Rubrics: Visual Faithfulness via Rubric-Based Reinforcement Learning","created":"2026-08-26","cited_by_count":0,"area":"lr"},{"id":"2609.04598","title":"PetQA: Benchmarking Veterinary Knowledge and Clinical Reasoning","created":"2026-09-04","cited_by_count":0,"area":"lr"},{"id":"2609.17686","title":"The Missing \"I Don't Know\": Why Three Reasoning-Reliability Findings Converge on Calibrated Abstention","created":"2026-09-15","cited_by_count":0,"area":"lr"},{"id":"2609.26060","title":"ChainUQ: Reasoning Consistency-Aware Uncertainty Quantification for Large Language Models","created":"2026-08-08","cited_by_count":0,"area":"lr"},{"id":"2610.01076","title":"GLoC-EHR: Evidence-Cited Clinical Reasoning over Global Context and Local EHR Events","created":"2026-10-01","cited_by_count":0,"area":"lr"},{"id":"2610.01234","title":"ASCRIBE: Atomic and Significance-Based Reasoning for Thai Clinical SOAP Note Generation","created":"2026-10-01","cited_by_count":0,"area":"lr"},{"id":"2610.01938","title":"A rubric landscape for evaluating clinical reasoning in large language models: what exists, what is missing, and what needs to be combined","created":"2026-10-01","cited_by_count":0,"area":"lr"},{"id":"2610.02066","title":"External Observers May See More Clearly: Cross-Model Span-Level Hallucination Detection in Large Language Models via Hidden State Probing","created":"2026-10-01","cited_by_count":0,"area":"lr"},{"id":"2610.05472","title":"Hallucination Across the Reasoning Lifecycle: Interface Visibility, Causal Evidence, and Release Control in Large Reasoning Models","created":"2026-10-04","cited_by_count":0,"area":"lr"}],"next_cursor":null}