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20232026
most citedML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code

2 citations · 2 across the 6 of their papers we have counts for

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cs.CL2025

Enhancing LLM Reasoning via Non-Human-Like Reasoning Path Preference Optimization

Junjie Lu, Yuliang Liu, Chaofeng Qu +4

Current approaches for strengthening LLM reasoning tend to introduce a training bias toward human-like reasoning trajectories. In step-wise preference optimization, in particular,…

cs.CL2023★ 2 cited

ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code

Xiangru Tang, Yuliang Liu, Zefan Cai +21

Despite Large Language Models (LLMs) like GPT-4 achieving impressive results in function-level code generation, they struggle with repository-scale code understanding (e.g., coming…