llm reasoning

Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective AAAI 2026 Trustworthy AI-Assisted Programming: Detection and Repair of Unreliable Code AAAI 2026 CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning EMNLP 2025 CodeComplex: Dataset for Worst-Case Time Complexity Prediction EMNLP 2025 CoEx – Co-evolving World-model and Exploration EMNLP 2025 Collaborative Beam Search: Enhancing LLM Reasoning via Collective Consensus EMNLP 2025 CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical Reasoning EMNLP 2025 DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning EMNLP 2025 Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through Options ICML 2025 GameArena: Evaluating LLM Reasoning through Live Computer Games ICLR 2025 HELIOS: Harmonizing Early Fusion, Late Fusion, and LLM Reasoning for Multi-Granular Table-Text Retrieval ACL 2025 HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking ICML 2025 MiDSummer: Multi-Guidance Diffusion for Controllable Zero-Shot Immersive Gaussian Splatting Scene Generation ICCV 2025 Mufu: Multilingual Fused Learning for Low-Resource Translation with LLM ICLR 2025 No Need for Explanations: LLMs can implicitly learn from mistakes in-context EMNLP 2025 Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search ICML 2025 Superficial Self-Improved Reasoners Benefit from Model Merging EMNLP 2025 ThoughtSculpt: Reasoning with Intermediate Revision and Search NAACL 2025 VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos CVPR 2025 Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate EMNLP 2024 Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution EMNLP 2024