Author

Zhan Su

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Jul 2026

Search-on-Graph-R1: Training Large Language Models to Search Knowledge Graphs with Reinforcement Learning

Search-on-Graph-R1 (\sogrone{}), which internalizes this navigation into a compact 8B model through supervised fine-tuning (SFT) followed by reinforcement learning (RL), which surpasses every frozen frontier-LLM system in their comparison and posts the strongest results on CWQ of any system the authors compare against.

J. Sun, Hao Yu, Fengran Mo et al. · arXiv.org · 1 citation · ⚡1

Jul 2026

TAPO: Transition-Aware Policy Optimization for LLM Agents

This work proposes TAPO: Transition-Aware Policy Optimization for LLM Agents, a unified training framework that alternates between policy optimization and transition supervision, and demonstrates that TAPO consistently improves task performance over pure policy optimization baselines.

Cong Li, Peixi Peng, Yisen Zhao et al. · arXiv.org · 0 citations