Author

Jiayi Kuang

View on Semantic Scholar

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#natural language process... Preprint Aug 2026

INSPIRE: An Internalize-Then-Improve Approach for Example-Driven Mathematical Reasoning

INSPIRE is an Internalize-Then-Improve approach combining Reference-Guided Student Internalization (RGSI), which produces high-quality preference candidates under the policy model's own distribution, with a stage-wise rubric preference training strategy that decomposes learning into method-oriented and correctness-oriented stages.

Shuai Wang, Jiayi Kuang, Yinghui Li et al. · 0 citations

Preprint Aug 2026

From Atomic to Agentic: Towards Interpretable Evaluation of LLMs'Agentic Mathematical Capabilities

Experiments reveal that models with similar end-to-end accuracy can exhibit markedly different agentic capability profiles, demonstrating that process-level evaluation is crucial for interpreting the true potential of LLMs and guiding the development of next-generation mathematical agents.

Jiayi Kuang, Yinghui Li, Yun-Ze Song et al. · 0 citations