{"total":45,"rows":[{"id":"2410.10762","title":"AFlow: Automating Agentic Workflow Generation","created":"2024-10-14","cited_by_count":432,"area":"lr"},{"id":"2502.17419","title":"From System 1 to System 2: A Survey of Reasoning Large Language Models","created":"2025-02-24","cited_by_count":320,"area":"lr"},{"id":"2407.11511","title":"Multi-Step Reasoning with Large Language Models, a Survey","created":"2024-07-16","cited_by_count":143,"area":"lr"},{"id":"2412.09078","title":"Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning","created":"2024-12-12","cited_by_count":110,"area":"lr"},{"id":"2502.06772","title":"ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates","created":"2025-02-10","cited_by_count":63,"area":"lr"},{"id":"2411.18478","title":"Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS","created":"2024-11-27","cited_by_count":54,"area":"lr"},{"id":"2501.06590","title":"ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning","created":"2025-01-11","cited_by_count":41,"area":"lr"},{"id":"2510.11701","title":"Demystifying Reinforcement Learning in Agentic Reasoning","created":"2025-10-13","cited_by_count":33,"area":"lr"},{"id":"2406.11698","title":"Meta Reasoning for Large Language Models","created":"2024-06-17","cited_by_count":29,"area":"lr"},{"id":"2502.02339","title":"AStar: Boosting Multimodal Reasoning with Automated Structured Thinking","created":"2025-02-04","cited_by_count":25,"area":"lr"},{"id":"2509.04439","title":"ArcMemo: Abstract Reasoning Composition with Lifelong LLM Memory","created":"2025-09-04","cited_by_count":24,"area":"lr"},{"id":"2409.03271","title":"Strategic Chain-of-Thought: Guiding Accurate Reasoning in LLMs through Strategy Elicitation","created":"2024-09-05","cited_by_count":19,"area":"lr"},{"id":"2506.23485","title":"Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent","created":"2025-06-30","cited_by_count":17,"area":"lr"},{"id":"2504.00509","title":"Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?","created":"2025-04-01","cited_by_count":15,"area":"lr"},{"id":"2503.23513","title":"RARE: Retrieval-Augmented Reasoning Modeling","created":"2025-03-30","cited_by_count":11,"area":"lr"},{"id":"2503.00902","title":"Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction","created":"2025-03-02","cited_by_count":10,"area":"lr"},{"id":"2502.06813","title":"Policy Guided Tree Search for Enhanced LLM Reasoning","created":"2025-02-04","cited_by_count":9,"area":"lr"},{"id":"2512.07795","title":"ReasonBENCH: Benchmarking the (In)Stability of LLM Reasoning","created":"2025-12-08","cited_by_count":9,"area":"lr"},{"id":"2603.02203","title":"Tool Verification for Test-Time Reinforcement Learning","created":"2026-03-02","cited_by_count":9,"area":"lr"},{"id":"2409.15454","title":"In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models","created":"2024-09-23","cited_by_count":8,"area":"lr"},{"id":"2412.11934","title":"Stepwise Reasoning Error Disruption Attack of LLMs","created":"2024-12-16","cited_by_count":8,"area":"lr"},{"id":"2511.21667","title":"Escaping the Verifier: Learning to Reason via Demonstrations","created":"2025-11-26","cited_by_count":7,"area":"lr"},{"id":"2505.03418","title":"Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey","created":"2025-05-06","cited_by_count":6,"area":"lr"},{"id":"2512.16917","title":"Generative Adversarial Reasoner: Enhancing LLM Reasoning with Adversarial Reinforcement Learning","created":"2025-12-18","cited_by_count":6,"area":"lr"},{"id":"2505.14398","title":"Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable Computation","created":"2025-05-20","cited_by_count":4,"area":"lr"},{"id":"2602.02477","title":"Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability","created":"2026-02-02","cited_by_count":4,"area":"lr"},{"id":"2604.21764","title":"Thinking with Reasoning Skills: Fewer Tokens, More Accuracy","created":"2026-04-23","cited_by_count":4,"area":"lr"},{"id":"2509.23633","title":"Fast Thinking for Large Language Models","created":"2025-09-28","cited_by_count":3,"area":"lr"},{"id":"2603.07887","title":"Reject, Resample, Repeat: Understanding Parallel Reasoning in Language Model Inference","created":"2026-03-09","cited_by_count":3,"area":"lr"},{"id":"2604.16778","title":"Federation over Text: Insight Sharing for Multi-Agent Reasoning","created":"2026-04-18","cited_by_count":3,"area":"lr"},{"id":"2505.23034","title":"Case-Based Reasoning Enhances the Predictive Power of LLMs in Drug-Drug Interaction","created":"2025-05-29","cited_by_count":2,"area":"lr"},{"id":"2604.08281","title":"When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning","created":"2026-04-09","cited_by_count":2,"area":"lr"},{"id":"2509.23368","title":"MedCritical: Enhancing Medical Reasoning in Small Language Models via Self-Collaborative Correction","created":"2025-09-27","cited_by_count":1,"area":"lr"},{"id":"2510.13935","title":"Big Reasoning with Small Models: Instruction Retrieval at Inference Time","created":"2025-10-15","cited_by_count":1,"area":"lr"},{"id":"2511.23136","title":"Multi-chain Graph Refinement and Selection for Reliable Reasoning in Large Language Models","created":"2025-11-28","cited_by_count":1,"area":"lr"},{"id":"2601.08440","title":"Incentivizing Cardiologist-Like Reasoning in MLLMs for Interpretable Echocardiographic Diagnosis","created":"2026-01-13","cited_by_count":1,"area":"lr"},{"id":"2608.23268","title":"Dual-Grained Agent Memory and Shapley Context Attribution for Multimodal Agentic Learner","created":"2026-08-24","cited_by_count":1,"area":"lr"},{"id":"2508.18648","title":"Thinking Before You Speak: A Proactive Test-time Scaling Approach","created":"2025-08-26","cited_by_count":0,"area":"lr"},{"id":"2510.01500","title":"Lateral Tree-of-Thoughts Surpasses ToT by Incorporating Logically-Consistent, Low-Utility Candidates","created":"2025-10-01","cited_by_count":0,"area":"lr"},{"id":"2602.22828","title":"TCM-DiffRAG: Personalized Syndrome Differentiation Reasoning Method for Traditional Chinese Medicine based on Knowledge Graph and Chain of Thought","created":"2026-02-26","cited_by_count":0,"area":"lr"},{"id":"2605.07139","title":"Structural Rationale Distillation via Reasoning Space Compression","created":"2026-05-08","cited_by_count":0,"area":"lr"},{"id":"2606.02054","title":"eMoT: evolving Memory-of-Thought via Symbolic Anchoring and Memory Corrosion","created":"2026-06-01","cited_by_count":0,"area":"lr"},{"id":"2606.13649","title":"Operadic consistency: a label-free signal for compositional reasoning failures in LLMs","created":"2026-06-11","cited_by_count":0,"area":"lr"},{"id":"2608.01319","title":"Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models","created":"2026-08-02","cited_by_count":0,"area":"lr"},{"id":"2609.13747","title":"How Many Thoughts Can a Vector Hold? The Capacity of Reasoning by Superposition","created":"2026-09-12","cited_by_count":0,"area":"lr"}],"next_cursor":null}