3 papers
cs.CV2025
Multi-GRPO: Multi-Group Advantage Estimation for Text-to-Image Generation with Tree-Based Trajectories and Multiple Rewards
Qiang Lyu, Zicong Chen, Chongxiao Wang +9
Recently, Group Relative Policy Optimization (GRPO) has shown promising potential for aligning text-to-image (T2I) models, yet existing GRPO-based methods suffer from two critical…
cs.CL2025
Improved Supervised Fine-Tuning for Large Language Models to Mitigate Catastrophic Forgetting
Fei Ding, Baiqiao Wang
Supervised Fine-Tuning (SFT) is a critical step for enhancing the instruction-following capabilities of Large Language Models (LLMs) and adapting them to specialized domains. Howev…
cs.LG2025
Multi-Layer GRPO: Enhancing Reasoning and Self-Correction in Large Language Models
Fei Ding, Baiqiao Wang, Zijian Zeng +1
The Group Relative Policy Optimization (GRPO) algorithm has demonstrated considerable success in enhancing the reasoning capabilities of large language models (LLMs), as evidenced…