✨✨Latest Advances on Multimodal Large Language Models

The official GitHub page for the survey paper "A Survey of Large Language Models".

An open-source framework for training large multimodal models.

总结Prompt&LLM论文，开源数据&模型，AIGC应用

Painter & SegGPT Series: Vision Foundation Models from BAAI

PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html

Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓

A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

Must-read Papers on LLM Agents.

Emu Series: Generative Multimodal Models from BAAI

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

This repository contains a collection of papers and resources on Reasoning in Large Language Models.

OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.

Papers and Datasets on Instruction Tuning and Following. ✨✨✨

[ACL 2024] An Easy-to-use Instruction Processing Framework for LLMs.

Research Trends in LLM-guided Multimodal Learning.

Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)

Paper List for Recommend-system PreTrained Models