activity
20242026
most citedLearning to Select In-Context Demonstration Preferred by Large Language Model

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing cs.AIShow all

2 papers · 1 filter

cs.AI2026

RC-GRPO: Reward-Conditioned Group Relative Policy Optimization for Multi-Turn Tool Calling Agents

Haitian Zhong, Jixiu Zhai, Lei Song +3

Multi-turn tool calling is challenging for Large Language Models (LLMs) because rewards are sparse and exploration is expensive. A common recipe, SFT followed by GRPO, can stall wh…

cs.AI2025

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges

Xianliang Yang, Ling Zhang, Haolong Qian +2

Heuristic algorithms play a vital role in solving combinatorial optimization (CO) problems, yet traditional designs depend heavily on manual expertise and struggle to generalize ac…