There are 14 repositories under in-context-learning topic.
:sparkles::sparkles: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.
From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓
总结Prompt&LLM论文,开源数据&模型,AIGC应用
Must-read Papers on LLM Agents.
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
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
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. - Professor Yu Liu
[ICCV 2025] 🔥🔥 UNO: A Universal Customization Method for Both Single and Multi-Subject Conditioning
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
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.
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.
🧠🔗 From idea to production in just few lines: Graph-Based Programmable Neuro-Symbolic LM Framework - a production-first LM framework built with decade old Deep Learning best practices
Paper List for Recommend-system PreTrained Models
A curated list of awesome instruction tuning datasets, models, papers and repositories.
Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"
[ICCV 2025] VisualCloze: A universal image generation framework that can support a wide range of in-domain tasks and generalize to unseen ones. (🔥 🔥 🔥 Merged into offical pipelines of diffusers.)
Awesome In-Context RL: A curated list of In-Context Reinforcement Learning - - —
🎁[ChatGPT4NLU] A Comparative Study on ChatGPT and Fine-tuned BERT
ICML2025, I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models
[NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"
Official implementation of the paper "Linear Transformers with Learnable Kernel Functions are Better In-Context Models"
A curated list of papers and applications on tool learning.
Grimoire is All You Need for Enhancing Large Language Models
[ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"