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

2 citations · 3 across the 16 of their papers we have counts for

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cs.LG2026

Step-wise Rubric Rewards for LLM Reasoning

Weichu Xie, Haozhe Zhao, Wenpu Liu +15

Reinforcement Learning with Verifiable Rewards (RLVR) is widely used to improve reasoning in large language models, but rewards only final-answer correctness with no supervision ov…

cs.LG2025

Improving MLLM Training Efficiency via Stage-Aware Sparsity

Kean Shi, Liang Chen, Haozhe Zhao +1

Multimodal Large Language Models (MLLMs) have demonstrated outstanding performance across a variety of domains. However, training MLLMs is often inefficient, as much of the computa…