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20242026
most citedLeveraging Knowledge Graphs and Large Language Models to Track and Analyze Learning Trajectories

2 citations · 3 across the 14 of their papers we have counts for

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cs.AI2026

PEARL: Adaptive Prefill-Decode Execution with Elasticity for Agentic Reinforcement Learning

Jiaan Zhu, Wei Gao, Youhui Bai +6

Multi-turn rollout dominates the cost of agentic reinforcement learning (RL). Asynchronous execution and elastic GPU resources can accelerate this stage, but adding rollout replica…

cs.AI2025

Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem

Weixun Wang, XiaoXiao Xu, Wanhe An +86

Agentic crafting requires LLMs to operate in real-world environments over multiple turns by taking actions, observing outcomes, and iteratively refining artifacts. Despite its impo…