most citedBeyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs

3 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Advantage Collapse in Group Relative Policy Optimization: Diagnosis and Mitigation

Xixiang He, Qiyao Sun, Ao Cheng +5

Group Relative Policy Optimization (GRPO), a prominent algorithm within the Reinforcement Learning from Verifiable Rewards (RLVR) framework, has achieved strong results in improvin…

cs.CV2026

MoASE++: Mixture of Activation Sparsity Experts with Domain-Adaptive On-policy Distillation for Continual Test Time Adaptation

Ronyu Zhang, Aosong Cheng, Gaole Dai +8

Continual test-time adaptation adapts a source-pretrained model to non-stationary, unlabeled target streams while retaining past competence, yet texture-biased backbones risk error…

cs.LG2026

Key-Embedded Privacy for Decentralized AI in Biomedical Omics

Rongyu Zhang, Hongyu Dong, Gaole Dai +13

The rapid adoption of data-driven methods in biomedicine has intensified concerns over privacy, governance, and regulation, limiting raw data sharing and hindering the assembly of…

cs.CV2024★ 3 cited

Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs

Qizhe Zhang, Aosong Cheng, Ming Lu +6

Large vision-language models (LVLMs) generally contain significantly more visual tokens than their textual counterparts, resulting in a considerable computational burden. Recent ef…

cs.CV2024★ 1 cited

MMTrail: A Multimodal Trailer Video Dataset with Language and Music Descriptions

Xiaowei Chi, Yatian Wang, Aosong Cheng +16

Massive multi-modality datasets play a significant role in facilitating the success of large video-language models. However, current video-language datasets primarily provide text…

cs.CV2024

Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation

Rongyu Zhang, Aosong Cheng, Yulin Luo +8

Continual Test-Time Adaptation (CTTA), which aims to adapt the pre-trained model to ever-evolving target domains, emerges as an important task for vision models. As current vision…

cs.CV2024★ 1 cited

DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing

Yueru Jia, Yuhui Yuan, Aosong Cheng +4

Recently, how to achieve precise image editing has attracted increasing attention, especially given the remarkable success of text-to-image generation models. To unify various spat…