Rethinking Reasoning Paths as Phase-Structured Trajectories
cs.AI
Submitted: 2026-09-29
Updated: 2026-09-29
Sources
- Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought
- Evaluating Large Language Models Trained on Code
- Training Verifiers to Solve Math Word Problems
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Triggering Chain-of-Thought via Latent Feature Interventions in Large Language Models
- Let's Verify Step by Step
- LLM Microscope: What Model Internals Reveal About Answer Correctness and Context Utilization
- Steering Llama 2 via Contrastive Activation Addition
- The Linear Representation Hypothesis and the Geometry of Large Language Models
- LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
- Gemma 3 Technical Report
- Qwen3 Technical Report
- Self-Consistency Improves Chain of Thought Reasoning in Language Models
- Reasoning Models Know When They're Right: Probing Hidden States for Self-Verification
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- Agents' Last Exam
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems