Beyond Uncertainty: Multi-Solver Disagreement Rewards for Self-Evolving Reasoning Curricula
cs.AI, cs.LG
Submitted: 2026-08-30
Updated: 2026-08-30
Terminology
Sources
- Training Verifiers to Solve Math Word Problems
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Reinforced Self-Training (ReST) for Language Modeling
- R-Zero: Self-Evolving Reasoning LLM from Zero Data
- Let's Verify Step by Step
- The Llama 3 Herd of Models
- Spontaneous Reward Hacking in Iterative Self-Refinement
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Socratic-Zero : Bootstrapping Reasoning via Data-Free Agent Co-evolution
- Qwen3 Technical Report
- Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models
- Absolute Zero: Reinforced Self-play Reasoning with Zero Data
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
- 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
- VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection