Search Results for author:
Found 10 papers, 6 papers with code
SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning
With support of over $300+$ LLMs and $50+$ MLLMs, SWIFT stands as the open-source framework that provide the most comprehensive support for fine-tuning large models.
CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases
Similarity-based retrieval often has low recall in complex tasks, while manual tools and APIs are typically task-specific and require expert knowledge, reducing their generalizability across diverse code tasks and real-world applications.
EIUP: A Training-Free Approach to Erase Non-Compliant Concepts Conditioned on Implicit Unsafe Prompts
Since image generation is conditioned on text, prompt purification serves as a straightforward solution for content safety.
ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning
To evaluate the efficacy of our proposed post-tuning approach, we conduct extension training on the Stable Video Diffusion model.
ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models
Large language models (LLMs) have recently demonstrated remarkable capabilities to comprehend human intentions, engage in reasoning, and design planning-like behavior.
FaceChain: A Playground for Human-centric Artificial Intelligence Generated Content
In this paper, we present FaceChain, a personalized portrait generation framework that combines a series of customized image-generation model and a rich set of face-related perceptual understanding models (\eg, face detection, deep face embedding extraction, and facial attribute recognition), to tackle aforementioned challenges and to generate truthful personalized portraits, with only a handful of portrait images as input.
On the Robustness of Split Learning against Adversarial Attacks
Split learning enables collaborative deep learning model training while preserving data privacy and model security by avoiding direct sharing of raw data and model details (i. e., sever and clients only hold partial sub-networks and exchange intermediate computations).
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning
Recent works have brought attention to the vulnerability of Federated Learning (FL) systems to gradient leakage attacks.
YOLOX-PAI: An Improved YOLOX, Stronger and Faster than YOLOv6
We develop an all-in-one computer vision toolbox named EasyCV to facilitate the use of various SOTA computer vision methods.
IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection
To solve this problem, we propose a novel end-to-end scene text detector IncepText from an instance-aware segmentation perspective.
