Yi-Fan Zhang

Generalization-Causality. 关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

Awesome-Multimodal-Large-Language-Models. Reading notes about Multimodal Large Language Models, Large Language Models, and Diffusion Models

Thyme. ✨✨ [ICLR 2026] Think Beyond Images

r1_reward. ✨✨ [ICLR 2026] R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

SliME. ✨✨Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models

OneNet. This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling》

AdaNPC. This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.

LLaVA-Align. [ACM Multimedia 2025] This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strategy.

Environment-Label-Smoothing. This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothing》.

mmrlhf-eval. Python

Awesome-Unified-Multimodal-Models. 📖 This is a repository for organizing papers, codes and other resources related to unified multimodal models.

LLaVA-NeXT. Python

Modality-Gap. Python

robustness-detection. Python

mme-realword.github.io. JavaScript

yfzhang114.github.io. HTML

VideoMMEv2. HTML