ERR+: Sequential Entropy Resolution for Efficient and Decisive LLM Reasoning
cs.LG
Submitted: 2026-08-28
Updated: 2026-09-20
Code: https://github.com/XrkArul/err_response
Terminology
Sources
- Reasoning with Exploration: An Entropy Perspective
- Training Verifiers to Solve Math Word Problems
- The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Measuring Massive Multitask Language Understanding
- Measuring Mathematical Problem Solving With the MATH Dataset
- ConMax: Confidence-Maximizing Compression for Efficient Chain-of-Thought Reasoning
- PEAR: Phase Entropy Aware Reward for Efficient Reasoning
- GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
- Understanding R1-Zero-Like Training: A Critical Perspective
- GPQA: A Graduate-Level Google-Proof Q&A Benchmark
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- GTPO and GRPO-S: Token and Sequence-Level Reward Shaping with Policy Entropy
- Kimi k1.5: Scaling Reinforcement Learning with LLMs
- Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
- Qwen3 Technical Report
- Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
- Dynamic Early Exit in Reasoning Models
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale
- VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks
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