3 papers
cs.CV2026
Marathoner: Ultra-Long-Horizon Autonomous Intelligence
Zhang Ruiyang, Ou Jinpeng, Xie Yifan +4
Humans naturally possess the ability to work persistently toward long-term goals. Given a challenging task, humans can continuously work for months or even years to accomplish a sp…
cs.AI2026
Think-Augmented Function Calling: Improving LLM Parameter Accuracy Through Embedded Reasoning
Lei Wei, Xiao Peng, Jinpeng Ou +1
Large language models (LLMs) have demonstrated remarkable capabilities in function calling for autonomous agents, yet current mechanisms lack explicit reasoning transparency during…
cs.LG2026
From Absolute to Relative: Rethinking Reward Shaping in Group-Based Reinforcement Learning
Wenzhe Niu, Wei He, Zongxia Xie +10
Reinforcement learning has become a cornerstone for enhancing the reasoning capabilities of Large Language Models, where group-based approaches such as GRPO have emerged as efficie…