reasoning trajectory

Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards ACL 2026 Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models ACL 2026 Dissecting Failure Dynamics in Large Language Model Reasoning ACL 2026 DRAFT-RL: Multi-Agent Chain-of-Draft Reasoning for Reinforcement Learning-Enhanced LLMs AAAI 2026 Efficient Post-Training Refinement of Latent Reasoning in Large Language Models AAAI 2026 Efficient Thought Space Exploration Through Strategic Intervention AAAI 2026 Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition ACL 2026 I²B-LPO: Latent Policy Optimization via Iterative Information Bottleneck ACL 2026 LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals ACL 2026 Mimic Human Cognition, Master Multi-Image Reasoning: A Meta-Action Framework for Enhanced Visual Understanding CVPR 2026 Monotonic Scaffolding as a Diagnostic Lens for Legal Reasoning in LLMs ACL 2026 PILOT: Planning via Internalized Latent Optimization Trajectories for Large Language Models ACL 2026 Progressive Multimodal Search and Reasoning for Knowledge-Intensive Visual Question Answering ACL 2026 ReActR: Reasoning through Error-Activated Reflection for LLM Post-Training ACL 2026 Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training ACL 2026 ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning ACL 2026 Think How to Think: Mitigating Overthinking with Autonomous Difficulty Cognition in Large Reasoning Models ACL 2026 Think, Speak, Decide: Language-Augmented Multi-Agent Reinforcement Learning for Economic Decision-Making AAAI 2026 Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-Auditing ACL 2026 What, Whether and How? Unveiling Process Reward Models for Thinking with Images Reasoning AAAI 2026 Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment ACL 2026 Your Reasoning Model Knows What Counts: Self-Guided Chain-of-Thought Pruning for Efficient Reasoning ACL 2026 Accelerated Test-Time Scaling with Model-Free Speculative Sampling EMNLP 2025 DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search ICLR 2025 Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics EMNLP 2025