The Paper List of Large Multi-Modality Model, Parameter-Efficient Finetuning, Vision-Language Pretraining, Conventional Image-Text Matching for Preliminary Insight.
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Updated
Jul 11, 2024
The Paper List of Large Multi-Modality Model, Parameter-Efficient Finetuning, Vision-Language Pretraining, Conventional Image-Text Matching for Preliminary Insight.
[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
[ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"
[SIGIR'24] The official implementation code of MOELoRA.
Collection of awesome parameter-efficient fine-tuning resources.
A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
Exploring the potential of fine-tuning Large Language Models (LLMs) like Llama2 and StableLM for medical entity extraction. This project focuses on adapting these models using PEFT, Adapter V2, and LoRA techniques to efficiently and accurately extract drug names and adverse side-effects from pharmaceutical texts
[ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.
This repository contains the lab work for Coursera course on "Generative AI with Large Language Models".
[ICRA 2024] Official Implementation of the Paper "Parameter-efficient Prompt Learning for 3D Point Cloud Understanding"
Code for the EACL 2024 paper: "Small Language Models Improve Giants by Rewriting Their Outputs"
Parameter Efficient Fine-Tuning for CLIP
A Production-Ready, Scalable RAG-powered LLM-based Context-Aware QA App
[WACV 2024] MACP: Efficient Model Adaptation for Cooperative Perception.
This is the official repository of the papers "Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers" and "Efficient Fine-tuning of Audio Spectrogram Transformers via Soft Mixture of Adapters".
A framework to optimize Parameter-Efficient Fine-Tuning for Fairness in Medical Image Analysis
[CVPR2024] The code of "UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory"
Fine-Tuned LLM-Based FAQ Generation for University Admissions: A project involving the fine-tuning of state-of-the-art language models, including LLaMA-3 8b, LLaMA-2 7b, Mistral 7b, T5, and BART, leveraging QLoRA PEFT.
My lab work of “Generative AI with Large Language Models” course offered by DeepLearning.AI and Amazon Web Services on coursera.
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models
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