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Can Ren

2 accepted papers

2026

Expanding Reasoning Potential in Foundation Model by Learning Diverse Chains of Thought Patterns

ICLR 2026poster

Recent progress in large reasoning models for challenging mathematical reasoning has been driven by reinforcement learning (RL). Incorporating long chain-of-thought (CoT) data during mid-training has also been shown to substantially improve reasoning depth. However, current approaches often utiliz…

Cited by 0SourceScholar
2025

OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling

ICML 2025poster

Despite the rapid development of large language models (LLMs), a fundamental challenge persists: the lack of high-quality optimization modeling datasets hampers LLMs' robust modeling of practical optimization problems from natural language descriptions (NL). This data scarcity also contributes to th…