2 papers
physics.optics2026
HALO: A Physics-Aware LLM Agent Framework for Nanophotonic Design
Yubo Zhang, Jinlin Xiang, Zijun Zhao +3
Language models have recently been applied to nanophotonic design, but it remains unclear whether they can reliably translate optical objectives into simulation-ready designs, exec…
cs.LG2025
Reinforcing Multi-Turn Reasoning in LLM Agents via Fine-Grained Reward Structure and Credit Assignment
Quan Wei, Siliang Zeng, Chenliang Li +9
Reinforcement Learning (RL) approaches have been wildly used to enhance the reasoning capabilities of Large Language Model (LLM) agents in long-horizon, multi-turn scenarios. Such…