Summary of Velora: a Low-rank Adaptation Approach For Efficient Rgb-event Based Recognition, by Lan Chen et al.
VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognitionby Lan Chen, Haoxiang Yang, Pengpeng…
Summary of Multi-point Positional Insertion Tuning For Small Object Detection, by Kanoko Goto et al.
Multi-Point Positional Insertion Tuning for Small Object Detectionby Kanoko Goto, Takumi Karasawa, Takumi Hirose, Rei…
Summary of Refining Salience-aware Sparse Fine-tuning Strategies For Language Models, by Xinxin Liu et al.
Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Modelsby Xinxin Liu, Aaron Thomas, Cheng Zhang, Jianyi…
Summary of Adapting Segment Anything Model (sam) to Experimental Datasets Via Fine-tuning on Gan-based Simulation: a Case Study in Additive Manufacturing, by Anika Tabassum et al.
Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case…
Summary of From Noise to Nuance: Advances in Deep Generative Image Models, by Benji Peng et al.
From Noise to Nuance: Advances in Deep Generative Image Modelsby Benji Peng, Chia Xin Liang,…
Summary of Queen: a Large Language Model For Quechua-english Translation, by Junhao Chen et al.
QueEn: A Large Language Model for Quechua-English Translationby Junhao Chen, Peng Shu, Yiwei Li, Huaqin…
Summary of A Comprehensive Evaluation Of Large Language Models on Aspect-based Sentiment Analysis, by Changzhi Zhou et al.
A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysisby Changzhi Zhou, Dandan Song,…
Summary of Visual Cue Enhancement and Dual Low-rank Adaptation For Efficient Visual Instruction Fine-tuning, by Pengkun Jiao et al.
Visual Cue Enhancement and Dual Low-Rank Adaptation for Efficient Visual Instruction Fine-Tuningby Pengkun Jiao, Bin…
Summary of Prompt-efficient Fine-tuning For Gpt-like Deep Models to Reduce Hallucination and to Improve Reproducibility in Scientific Text Generation Using Stochastic Optimisation Techniques, by Daniil Sulimov
Prompt-Efficient Fine-Tuning for GPT-like Deep Models to Reduce Hallucination and to Improve Reproducibility in Scientific…
Summary of Parameter-efficient Fine-tuning Medical Multimodal Large Language Models For Medical Visual Grounding, by Jinlong He et al.
Parameter-Efficient Fine-Tuning Medical Multimodal Large Language Models for Medical Visual Groundingby Jinlong He, Pengfei Li,…