Poster "attention mechanism analysis" Papers
9 papers found
Conference
Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference
Yuan Feng, Junlin Lv, Yukun Cao et al.
NEURIPS 2025arXiv:2407.11550
106
citations
Attribution-Driven Adaptive Token Pruning for Transformers
YAOYAO YAN, Hui Yu, Weizhi Xu
NEURIPS 2025
Don't Just Chase “Highlighted Tokens” in MLLMs: Revisiting Visual Holistic Context Retention
Xin Zou, Di Lu, Yizhou Wang et al.
NEURIPS 2025arXiv:2510.02912
9
citations
Exploring Multimodal Diffusion Transformers for Enhanced Prompt-based Image Editing
Joonghyuk Shin, Alchan Hwang, Yujin Kim et al.
ICCV 2025arXiv:2508.07519
5
citations
Hallucinatory Image Tokens: A Training-free EAZY Approach to Detecting and Mitigating Object Hallucinations in LVLMs
Liwei Che, Qingze T Liu, Jing Jia et al.
ICCV 2025arXiv:2503.07772
3
citations
One Head to Rule Them All: Amplifying LVLM Safety through a Single Critical Attention Head
Junhao Xia, Haotian Zhu, Shuchao Pang et al.
NEURIPS 2025
Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words
Gouki Gouki, Hiroki Furuta, Yusuke Iwasawa et al.
ICLR 2025arXiv:2501.06254
9
citations
Seg4Diff: Unveiling Open-Vocabulary Semantic Segmentation in Text-to-Image Diffusion Transformers
Chaehyun Kim, Heeseong Shin, Eunbeen Hong et al.
NEURIPS 2025
6
citations
Why Larger Language Models Do In-context Learning Differently?
Zhenmei Shi, Junyi Wei, Zhuoyan Xu et al.
ICML 2024arXiv:2405.19592
49
citations