PROOF-Gen: From Optimized Data to Better Distillation
cs.AI, cs.LG
Submitted: 2026-08-24
Updated: 2026-08-24
Terminology
Sources
- GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
- RL for Reasoning by Adaptively Revealing Rationales
- $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
- FireAct: Toward Language Agent Fine-tuning
- Reinforced Self-Training (ReST) for Language Modeling
- DRP: Distilled Reasoning Pruning with Skill-aware Step Decomposition for Efficient Large Reasoning Models
- NaturalThoughts: Selecting and Distilling Reasoning Traces for General Reasoning Tasks
- AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent
- Qwen3 Technical Report
- Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
- Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
- Does RL Expand the Capability Boundary of LLM Agents? A PASS@(k,T) Analysis
- Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
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