5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2025
BroRL: Scaling Reinforcement Learning via Broadened Exploration
Jian Hu, Mingjie Liu, Ximing Lu +8
Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as a key ingredient for unlocking complex reasoning capabilities in large language models. Recent work ProRL has s…
cs.SE2024★ 5 cited
Code Less, Align More: Efficient LLM Fine-tuning for Code Generation with Data Pruning
Yun-Da Tsai, Mingjie Liu, Haoxing Ren
Recent work targeting large language models (LLMs) for code generation demonstrated that increasing the amount of training data through synthetic code generation often leads to exc…