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Open-Qwen2VL: Compute-Efficient Pre-Training of Fully-Open Multimodal LLMs on Academic Resources
The source code for "Zero-Shot Relational Learning for Multimodal Knowlege Graphs", In the Proceedings of the 2024 IEEE International Conference on Big Data
An open-source implementaion for fine-tuning Qwen2-VL and Qwen2.5-VL series by Alibaba Cloud.
a state-of-the-art-level open visual language model | 多模态预训练模型
VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.
Synthetic data curation for post-training and structured data extraction
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
[ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Ongoing research training transformer models at scale
Large Concept Models: Language modeling in a sentence representation space
This repository contains demos I made with the Transformers library by HuggingFace.
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
Official implementation of "Why are Visually-Grounded Language Models Bad at Image Classification?" (NeurIPS 2024)
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
This repository is the official implementation of "Red Teaming Language Models for Processing Contradictory Dialogues"
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."
An open-source framework for self-supervised recommender systems.
A unified, comprehensive and efficient recommendation library
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
This is for the knowledge graph embedding recommendation framework – RKGE
Knowledge-enhanced Neighborhood Interaction model for recommendation
[SIGIR'22] Knowledge Graph Contrastive Learning for Recommendation