6 papers
PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning
Qikai Chang, Zhenrong Zhang, Linbo Chen +4
Large Language Models (LLMs) show strong potential as educational tutors. Existing approaches typically train them to solve problems and provide correct answers, but this problem-s…
Step Potential Advantage Estimation: Harnessing Intermediate Confidence and Correctness for Efficient Mathematical Reasoning
Fei Wu, Zhenrong Zhang, Qikai Chang +3
Reinforcement Learning with Verifiable Rewards (RLVR) elicits long chain-of-thought reasoning in large language models (LLMs), but outcome-based rewards lead to coarse-grained adva…
THOR: Tool-Integrated Hierarchical Optimization via RL for Mathematical Reasoning
Qikai Chang, Zhenrong Zhang, Pengfei Hu +6
Large Language Models (LLMs) have made remarkable progress in mathematical reasoning, but still continue to struggle with high-precision tasks like numerical computation and formal…
PRM-BAS: Enhancing Multimodal Reasoning through PRM-guided Beam Annealing Search
Pengfei Hu, Zhenrong Zhang, Qikai Chang +8
Recent work increasingly focuses on improving the reasoning capabilities of Multimodal Large Language Models (MLLMs). Among existing methods, Process Reward Models (PRMs) stand out…
Skeleton and Font Generation Network for Zero-shot Chinese Character Generation
Mobai Xue, Jun Du, Zhenrong Zhang +5
Automatic font generation remains a challenging research issue, primarily due to the vast number of Chinese characters, each with unique and intricate structures. Our investigation…
RFL: Simplifying Chemical Structure Recognition with Ring-Free Language
Qikai Chang, Mingjun Chen, Changpeng Pi +6
The primary objective of Optical Chemical Structure Recognition is to identify chemical structure images into corresponding markup sequences. However, the complex two-dimensional s…