✨✨Latest Advances on Multimodal Large Language Models

multi-modality instruction-following in-context-learning large-language-models chain-of-thought instruction-tuning visual-instruction-tuning large-vision-language-model multimodal-instruction-tuning large-vision-language-models multimodal-large-language-models multimodal-in-context-learning multimodal-chain-of-thought

• Updated Oct 29, 2026

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

natural-language-processing pre-training pre-trained-language-models in-context-learning large-language-models llm llms chain-of-thought chatgpt rlhf instruction-tuning

• Updated Mar 11, 2025
• Python

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

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• Updated Oct 31, 2026
• Jupyter Notebook

An open-source framework for training large multimodal models.

computer-vision deep-learning pytorch language-model flamingo multimodal-learning in-context-learning

• Updated Aug 31, 2024
• Python

From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓

awesome prompt gpt papers language-models strawberry reasoning cot multimodal in-context-learning prompt-engineering chain-of-thought chatgpt mllm deepseek gpt-4o openai-o1 deepseek-r1

• Updated Apr 20, 2026

总结Prompt&LLM论文，开源数据&模型，AIGC应用

prompt papers demonstration zero-shot-learning few-shot-learning prompt-tuning in-context-learning aigc llm prompt-engineering chain-of-thought chatgpt instruction-tuning llm-agent

• Updated Nov 8, 2026

Must-read Papers on LLM Agents.

nlp agent review natural-language-processing environment interactive prompt survey multiagent-systems surveys agents paper-list awsome-list instruction-following in-context-learning large-language-models llm

• Updated Nov 7, 2026

Painter & SegGPT Series: Vision Foundation Models from BAAI

in-context-learning cvpr2023 generalist-model in-context-visual-learning generalist-painter seggpt segmentation-foundation-model

• Updated Dec 6, 2024
• Python

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.

chatbot prompt language-modeling cot pre-training ai-agent prompt-learning in-context-learning llm prompt-engineering chain-of-thought prompt-based-learning chatgpt chatgpt-api large-language-model

• Updated Nov 12, 2026
• Jupyter Notebook

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

text-to-speech tts valle in-context-learning large-language-models chatgpt vall-e

• Updated Sep 10, 2025
• Python

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

codex palm gpt-3 prompt-learning in-context-learning large-language-models chain-of-thought

• Updated Oct 5, 2023

Emu Series: Generative Multimodal Models from BAAI

foundation-models in-context-learning multimodal-pretraining instruct-tuning multimodal-generalist generative-pretraining-in-multimodality

• Updated Jan 12, 2026
• Python

[ICCV 2025] 🔥🔥 UNO: A Universal Customization Method for Both Single and Multi-Subject Conditioning

flux image-generation text-to-image diffusion in-context-learning diffusion-transformer subject-driven-generation universal-image-generation

• Updated Sep 12, 2025
• Python

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

information-extraction named-entity-recognition event-detection event-extraction data-augmentation relation-extraction zero-shot-learning few-shot-learning knowledge-graph-construction event-arguments cross-domain-learning in-context-learning large-language-models

• Updated Nov 18, 2024

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

reliability calibration safety awesome-list uncertainty-quantification uncertainty-estimation robustness hallucination gpt-3 gpt-4 in-context-learning large-language-models prompt-engineering prompting llms chain-of-thought chatgpt

• Updated Nov 7, 2026

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

nlp language-model in-context-learning

• Updated Oct 3, 2023
• Python

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

natural-language-processing language-modeling artificial-intelligence awesome-list human-intelligence language-models reasoning deductive-reasoning paper-list gpt-3 prompt-learning in-context-learning large-language-models llm prompt-engineering chain-of-thought chatgpt

• Updated Nov 13, 2023

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

prompt survey awesome-list datasets instruction paper-list pretrained-language-model in-context-learning large-language-models instruction-tuning instruction-learning

• Updated Apr 4, 2024
• Python

Keras based framework for neuro-symbolic LM systems

reinforcement-learning language-model reinforcement-learning-agent neuro-symbolic neuro-symbolic-ai test-time-adaptation in-context-learning llms test-time-training llmops in-context-reinforcement-learning context-engineering

• Updated Nov 12, 2026
• Python

In‑Context World‑Action Modeling from Human Videos for Open‑Ended Task Generalization

in-context-learning cross-task-generalization human-video-learning

• Updated Sep 15, 2026
• Python