activity
20242026
most citedBeyond 2:4: exploring V:N:M sparsity for efficient transformer inference on GPUs

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

cs.CV2026

MinCU: A Fine-Grained Benchmark for Grounded Minimal-Change Understanding in Image Pairs

Chaoqian Mu, Wenhao Wu, Zichen Liang +4

Localizing and describing fine-grained differences between near-identical images is a critical yet underexplored capability for multimodal large language models (MLLMs). Existing b…

cs.AI2026

MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery

Shangheng Du, Xiangchao Yan, Jinxin Shi +13

Large language model (LLM) agents are increasingly applied to long-horizon tasks such as scientific discovery and machine learning engineering (MLE), where sustained self-evolution…