23 citations · 23 across the 2 of their papers we have counts for
2 papers
cs.AI2026
From Atomic to Agentic: Towards Interpretable Evaluation of LLMs' Agentic Mathematical Capabilities
Jiayi Kuang, Yinghui Li, Yunze Song +11
Large Language Models (LLMs) are evolving from performing end-to-end mathematical reasoning to integrating agentic intelligence. However, most existing math benchmarks evaluate onl…
cs.SE2024★ 23 cited
Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation
Kailun Jin, Chung-Yu Wang, Hung Viet Pham +1
Large language models (LLMs) have demonstrated notable proficiency in code generation, with numerous prior studies showing their promising capabilities in various development scena…