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RayOrch: Programming and Executing Lineage-Controlled Multi-Grain Dataflows for Foundation-Model Data Preparation
Preparing high-quality training data for foundation models requires scalable data pipelines that transform heterogeneous documents and …
Xiaochen Ma, Zimo Meng, Junzhu Liang, Youhe Jiang, Yue Cheng, Hao Liang, Bohan Zeng, Dengchun Li, Lu Ma, Zhengyang Zhao, Zhen Hao Wong, Runming He, Meiyi Qiang, Jiangtao Guan, Binhang Yuan, Wentao Zhang
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DataFlow-Harness: A Grounded Code-Agent Platform for Constructing Editable LLM Data Pipelines
DataFlow-Harness bridges the gap between code generated from natural language and persistent, editable data-pipeline artifacts. It …
Runming He, Zhen Hao Wong, Hao Liang, Zimo Meng, Chengyu Shen, Xiaochen Ma, Wentao Zhang
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DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models
DataFlex is a unified framework for data-centric dynamic LLM training. Built on LLaMA-Factory, it integrates sample selection, …
Hao Liang, Zhengyang Zhao, Meiyi Qiang, Mingrui Chen, Lu Ma, Rongyi Yu, Hengyi Feng, Shixuan Sun, Zimo Meng, Xiaochen Ma, Xuanlin Yang, Qifeng Cai, Ruichuan An, Bohan Zeng, Zhen Hao Wong, Chengyu Shen, Runming He, Zhaoyang Han, Yaowei Zheng, Fangcheng Fu, Conghui He, Bin Cui, Zhiyu Li, Weinan E, Wentao Zhang
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Towards Next-Generation LLM Training: From the Data-Centric Perspective
This perspective outlines two complementary directions for next-generation LLM training: agent-based systems for automatic, reusable …
Hao Liang, Zhengyang Zhao, Zhaoyang Han, Meiyi Qiang, Xiaochen Ma, Bohan Zeng, Qifeng Cai, Zhiyu Li, Linpeng Tang, Weinan E, Wentao Zhang
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ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
The field of Fake Image Detection and Localization (FIDL) is highly fragmented, encompassing four domains: deepfake detection …
Bo Du, Xuekang Zhu, Xiaochen Ma, Chenfan Qu, Kaiwen Feng, Zhe Yang, Chi-Man Pun, Jian Liu, Ji-Zhe Zhou
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ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization Through Spare-Coding Transformer
Non-semantic features or semantic-agnostic features, which are irrelevant to image context but sensitive to image manipulations, are …
Lei Su, Xiaochen Ma, Xuekang Zhu, Chaoqun Niu, Zeyu Lei, Ji-Zhe Zhou
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Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization Through Spare-Coding Transformer
IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization
A comprehensive benchmark is yet to be established in the Image Manipulation Detection & Localization (IMDL) field. The absence of …
Xiaochen Ma, Xuekang Zhu, Lei Su, Bo Du, Zhuohang Jiang, Bingkui Tong, Zeyu Lei, Xinyu Yang, Chi-Man Pun, Jiancheng Lv, Jizhe Zhou
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IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization
Mesoscopic insights: Orchestrating multi-scale & hybrid architecture for image manipulation localization
The mesoscopic level serves as a bridge between the macroscopic and microscopic worlds, addressing gaps overlooked by both. Image …
Xuekang Zhu, Xiaochen Ma, Lei Su, Zhuohang Jiang, Bo Du, Xiwen Wang, Zeyu Lei, Wentao Feng, Chi-Man Pun, Ji-Zhe Zhou
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Mesoscopic insights: Orchestrating multi-scale & hybrid architecture for image manipulation localization
IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer
Advanced image tampering techniques are increasingly challenging the trustworthiness of multimedia, leading to the development of Image …
Xiaochen Ma, Bo Du, Zhuohang Jiang, Ahmed Y. Al Hammadi, Jizhe Zhou
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IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer
An example preprint / working paper
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Xiaochen Ma
Last updated on Oct 2, 2023
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An example preprint / working paper