7 papers
Evolution of the intertwining correlated topological phases in iron-based superconductor Fe(Te,Se)
Yue Sun, Shiying He, Zhongyi Zhang +16
Multiple topological electronic phases can coexist within a single quantum material and induce different topological superconducting states, offering deeper insights into interplay…
AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading
Zheye Deng, Weixiang Yan, Changlong Yu +1
While Large Language Model (LLM) agents show promise in automated trading, they still face critical limitations. Prominent multi-agent frameworks often suffer from inefficiency, pr…
CM2: Reinforcement Learning with Checklist Rewards for Multi-Turn and Multi-Step Agentic Tool Use
Zhen Zhang, Kaiqiang Song, Xun Wang +11
AI agents are increasingly used to solve real-world tasks by reasoning over multi-turn user interactions and invoking external tools. However, applying reinforcement learning to su…
APEX: Empowering LLMs with Physics-Based Task Planning for Real-time Insight
Wanjing Huang, Weixiang Yan, Zhen Zhang +1
Large Language Models (LLMs) demonstrate strong reasoning and task planning capabilities but remain fundamentally limited in physical interaction modeling. Existing approaches inte…
SpineBench: Benchmarking Multimodal LLMs for Spinal Pathology Analysis
Chenghanyu Zhang, Zekun Li, Peipei Li +5
With the increasing integration of Multimodal Large Language Models (MLLMs) into the medical field, comprehensive evaluation of their performance in various medical domains becomes…
Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models
Ilgee Hong, Changlong Yu, Liang Qiu +8
Reinforcement learning from human feedback (RLHF) has become a powerful post-training paradigm for aligning large language models with human preferences. A core challenge in RLHF i…