Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation
Paper • 2605.11739 • Published • 61
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S$^3$c-Math: Spontaneous Step-level Self-correction Makes Large Language Models Better Mathematical Reasoners
Paper • 2409.01524 • Published • 1
VerifyBench: Benchmarking Reference-based Reward Systems for Large Language Models
Paper • 2505.15801 • Published • 17
MathFimer: Enhancing Mathematical Reasoning by Expanding Reasoning Steps through Fill-in-the-Middle Task
Paper • 2502.11684 • Published • 2
Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification
Paper • 2506.04592 • Published • 1
SALT4Decompile: Inferring Source-level Abstract Logic Tree for LLM-Based Binary Decompilation
Paper • 2509.14646 • Published
Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners
Paper • 2509.26226 • Published • 34
On Predictability of Reinforcement Learning Dynamics for Large Language Models
Paper • 2510.00553 • Published • 9
Can We Verify Step by Step for Incorrect Answer Detection?
Paper • 2402.10528 • Published
UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models
Paper • 2502.00334 • Published
UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models
Paper • 2501.13766 • Published
Advancing Multimodal Reasoning Capabilities of Multimodal Large Language Models via Visual Perception Reward
Paper • 2506.07218 • Published
GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling
Paper • 2506.22049 • Published • 2
Double-Checker: Enhancing Reasoning of Slow-Thinking LLMs via Self-Critical Fine-Tuning
Paper • 2506.21285 • Published
Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving
Paper • 2502.12022 • Published
Can LLMs Solve longer Math Word Problems Better?
Paper • 2405.14804 • Published