Summary of Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment, By Xin Xiao et al.
Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignmentby Xin Xiao, Bohong Wu, Jiacong Wang,…
Summary of Yuan 2.0-m32: Mixture Of Experts with Attention Router, by Shaohua Wu et al.
Yuan 2.0-M32: Mixture of Experts with Attention Routerby Shaohua Wu, Jiangang Luo, Xi Chen, Lingjun…
Summary of Lora-switch: Boosting the Efficiency Of Dynamic Llm Adapters Via System-algorithm Co-design, by Rui Kong et al.
LoRA-Switch: Boosting the Efficiency of Dynamic LLM Adapters via System-Algorithm Co-designby Rui Kong, Qiyang Li,…
Summary of Don’t Miss the Forest For the Trees: Attentional Vision Calibration For Large Vision Language Models, by Sangmin Woo et al.
Don’t Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Modelsby…
Summary of Tokenunify: Scalable Autoregressive Visual Pre-training with Mixture Token Prediction, by Yinda Chen et al.
TokenUnify: Scalable Autoregressive Visual Pre-training with Mixture Token Predictionby Yinda Chen, Haoyuan Shi, Xiaoyu Liu,…
Summary of Empowering Character-level Text Infilling by Eliminating Sub-tokens, By Houxing Ren et al.
Empowering Character-level Text Infilling by Eliminating Sub-Tokensby Houxing Ren, Mingjie Zhan, Zhongyuan Wu, Hongsheng LiFirst…
Summary of Sed: Self-evaluation Decoding Enhances Large Language Models For Better Generation, by Ziqin Luo et al.
SED: Self-Evaluation Decoding Enhances Large Language Models for Better Generationby Ziqin Luo, Haixia Han, Haokun…
Summary of Less Is More: Summarizing Patch Tokens For Efficient Multi-label Class-incremental Learning, by Thomas De Min et al.
Less is more: Summarizing Patch Tokens for efficient Multi-Label Class-Incremental Learningby Thomas De Min, Massimiliano…
Summary of Gecko: Generative Language Model For English, Code and Korean, by Sungwoo Oh and Donggyu Kim
GECKO: Generative Language Model for English, Code and Koreanby Sungwoo Oh, Donggyu KimFirst submitted to…
Summary of Let’s Fuse Step by Step: a Generative Fusion Decoding Algorithm with Llms For Multi-modal Text Recognition, By Chan-jan Hsu et al.
Let’s Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Multi-modal Text…