Summary of Aim: Adaptive Inference Of Multi-modal Llms Via Token Merging and Pruning, by Yiwu Zhong et al.
AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruningby Yiwu Zhong, Zhuoming Liu,…
Summary of Gracefully Filtering Backdoor Samples For Generative Large Language Models Without Retraining, by Zongru Wu et al.
Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retrainingby Zongru Wu, Pengzhou Cheng,…
Summary of [cls] Attention Is All You Need For Training-free Visual Token Pruning: Make Vlm Inference Faster, by Qizhe Zhang et al.
[CLS] Attention is All You Need for Training-Free Visual Token Pruning: Make VLM Inference Fasterby…
Summary of Randar: Decoder-only Autoregressive Visual Generation in Random Orders, by Ziqi Pang et al.
RandAR: Decoder-only Autoregressive Visual Generation in Random Ordersby Ziqi Pang, Tianyuan Zhang, Fujun Luan, Yunze…
Summary of Llms4life: Large Language Models For Ontology Learning in Life Sciences, by Nadeen Fathallah et al.
LLMs4Life: Large Language Models for Ontology Learning in Life Sciencesby Nadeen Fathallah, Steffen Staab, Alsayed…
Summary of Painternet: Adaptive Image Inpainting with Actual-token Attention and Diverse Mask Control, by Ruichen Wang et al.
PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Controlby Ruichen Wang, Junliang Zhang,…
Summary of Alignmamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment, by Yan Li et al.
AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignmentby Yan Li, Yifei Xing, Xiangyuan…
Summary of Llms As Mirrors Of Societal Moral Standards: Reflection Of Cultural Divergence and Agreement Across Ethical Topics, by Mijntje Meijer et al.
LLMs as mirrors of societal moral standards: reflection of cultural divergence and agreement across ethical…
Summary of Draft Model Knows When to Stop: a Self-verification Length Policy For Speculative Decoding, by Ziyin Zhang and Jiahao Xu and Tian Liang and Xingyu Chen and Zhiwei He and Rui Wang and Zhaopeng Tu
Draft Model Knows When to Stop: A Self-Verification Length Policy for Speculative Decodingby Ziyin Zhang,…
Summary of Cross-modal Information Flow in Multimodal Large Language Models, by Zhi Zhang et al.
Cross-modal Information Flow in Multimodal Large Language Modelsby Zhi Zhang, Srishti Yadav, Fengze Han, Ekaterina…