✨✨Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

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

An open-source framework for training large multimodal models.

Painter & SegGPT Series: Vision Foundation Models from BAAI

总结Prompt&LLM论文，开源数据&模型，AIGC应用

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

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

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.

Must-read Papers on LLM Agents.

Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought, Instruction-Tuning and Multimodality.

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

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

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

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

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

Research Trends in LLM-guided Multimodal Learning.

An Easy-to-use Instruction Processing Framework for LLMs.

Paper List for Recommend-system PreTrained Models

[ICLR 2023] Code for the paper "Binding Language Models in Symbolic Languages"