Stars
source code for TKDE paper “CED: Credible Early Detection of Social Media Rumors”
EANN: event-adversarial neural networks for multi-modal fake news detection
We introduce MM-Soc, a comprehensive benchmark designed to evaluate MLLMs' understanding of multimodal social media content.
paper link: https://dl.acm.org/doi/abs/10.1145/3664647.3681317
Paper list of misinformation research using (multi-modal) large language models, i.e., (M)LLMs.
The dataset and code for the ICLR 2024 paper "Can LLM-Generated Misinformation Be Detected?"
For ACL'2024 Paper "Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection"
Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models, CIKM 2024.
This is code for DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3, Qwen3-MoE, DeepSeek-R1, GLM4.5, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Llava, …
✨✨Latest Advances on Multimodal Large Language Models
A list of awesome papers and resources of recommender system on large language model (LLM).
Example models using DeepSpeed
Use reinforcement learning to train a flappy bird which NEVER dies in Python.
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
The official implementation for LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection
A list of tools, papers and code related to Deepfake Detection.