Xianliang Yang

Holdout-Loss-Based Data Selection for LLM Finetuning via In-Context Learning

NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data

Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning

HeurAgenix: A Multi-Agent LLM-Based Paradigm for Adaptive Heuristic Evolution and Selection in Combinatorial Optimization