Summary of Hut: a More Computation Efficient Fine-tuning Method with Hadamard Updated Transformation, by Geyuan Zhang et al.
HUT: A More Computation Efficient Fine-Tuning Method With Hadamard Updated Transformationby Geyuan Zhang, Xiaofei Zhou,…
Summary of Mapper: Multimodal Prior-guided Parameter Efficient Tuning For Referring Expression Comprehension, by Ting Liu et al.
MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehensionby Ting Liu, Zunnan Xu, Yue…
Summary of User-specific Dialogue Generation with User Profile-aware Pre-training Model and Parameter-efficient Fine-tuning, by Atsushi Otsuka and Kazuya Matsuo and Ryo Ishii and Narichika Nomoto and Hiroaki Sugiyama
User-Specific Dialogue Generation with User Profile-Aware Pre-Training Model and Parameter-Efficient Fine-Tuningby Atsushi Otsuka, Kazuya Matsuo,…
Summary of Evalyaks: Instruction Tuning Datasets and Lora Fine-tuned Models For Automated Scoring Of Cefr B2 Speaking Assessment Transcripts, by Nicy Scaria et al.
EvalYaks: Instruction Tuning Datasets and LoRA Fine-tuned Models for Automated Scoring of CEFR B2 Speaking…
Summary of Teamlora: Boosting Low-rank Adaptation with Expert Collaboration and Competition, by Tianwei Lin et al.
TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competitionby Tianwei Lin, Jiang Liu, Wenqiao Zhang,…
Summary of Adaptive Layer Selection For Efficient Vision Transformer Fine-tuning, by Alessio Devoto et al.
Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuningby Alessio Devoto, Federico Alvetreti, Jary Pomponi, Paolo…
Summary of Llmi3d: Mllm-based 3d Perception From a Single 2d Image, by Fan Yang et al.
LLMI3D: MLLM-based 3D Perception from a Single 2D Imageby Fan Yang, Sicheng Zhao, Yanhao Zhang,…
Summary of Persoma: Personalized Soft Prompt Adapter Architecture For Personalized Language Prompting, by Liam Hebert et al.
PERSOMA: PERsonalized SOft ProMpt Adapter Architecture for Personalized Language Promptingby Liam Hebert, Krishna Sayana, Ambarish…
Summary of Multi-modal Parameter-efficient Fine-tuning Via Graph Neural Network, by Bin Cheng et al.
Multi-Modal Parameter-Efficient Fine-tuning via Graph Neural Networkby Bin Cheng, Jiaxuan LuFirst submitted to arxiv on:…
Summary of Catvton: Concatenation Is All You Need For Virtual Try-on with Diffusion Models, by Zheng Chong et al.
CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Modelsby Zheng Chong, Xiao…