Summary of Plpp: Prompt Learning with Perplexity Is Self-distillation For Vision-language Models, by Biao Liu et al.
PLPP: Prompt Learning with Perplexity Is Self-Distillation for Vision-Language Modelsby Biao Liu, Wenyi Fang, Xiaoyu…
Summary of Advanced Ingestion Process Powered by Llm Parsing For Rag System, By Arnau Perez et al.
Advanced ingestion process powered by LLM parsing for RAG systemby Arnau Perez, Xavier VizcainoFirst submitted…
Summary of Crabs: Consuming Resource Via Auto-generation For Llm-dos Attack Under Black-box Settings, by Yuanhe Zhang et al.
Crabs: Consuming Resource via Auto-generation for LLM-DoS Attack under Black-box Settingsby Yuanhe Zhang, Zhenhong Zhou,…
Summary of Lita: An Efficient Llm-assisted Iterative Topic Augmentation Framework, by Chia-hsuan Chang et al.
LITA: An Efficient LLM-assisted Iterative Topic Augmentation Frameworkby Chia-Hsuan Chang, Jui-Tse Tsai, Yi-Hang Tsai, San-Yih…
Summary of Token Prepending: a Training-free Approach For Eliciting Better Sentence Embeddings From Llms, by Yuchen Fu et al.
Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMsby Yuchen Fu, Zifeng…
Summary of Biobridge: Unified Bio-embedding with Bridging Modality in Code-switched Emr, by Jangyeong Jeon et al.
BioBridge: Unified Bio-Embedding with Bridging Modality in Code-Switched EMRby Jangyeong Jeon, Sangyeon Cho, Dongjoon Lee,…
Summary of Video Representation Learning with Joint-embedding Predictive Architectures, by Katrina Drozdov et al.
Video Representation Learning with Joint-Embedding Predictive Architecturesby Katrina Drozdov, Ravid Shwartz-Ziv, Yann LeCunFirst submitted to…
Summary of Learning to Merge Tokens Via Decoupled Embedding For Efficient Vision Transformers, by Dong Hoon Lee et al.
Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformersby Dong Hoon Lee, Seunghoon…
Summary of Wordvis: a Color Worth a Thousand Words, by Umar Khan et al.
WordVIS: A Color Worth A Thousand Wordsby Umar Khan, Saifullah, Stefan Agne, Andreas Dengel, Sheraz…
Summary of When Text Embedding Meets Large Language Model: a Comprehensive Survey, by Zhijie Nie et al.
When Text Embedding Meets Large Language Model: A Comprehensive Surveyby Zhijie Nie, Zhangchi Feng, Mingxin…