An Open-Source Engineering Guide for Prompt-in-context-learning from EgoAlpha Lab.
📝 Papers | ⚡️ Playground | 🛠 Prompt Engineering | 🌍 ChatGPT Prompt ｜ ⛳ LLMs Usage Guide
⭐️ Shining ⭐️: This is fresh, daily-updated resources for in-context learning and prompt engineering. As Artificial General Intelligence (AGI) is approaching, let's take action and become a super learner so as to position ourselves at the forefront of this exciting era and strive for personal and professional greatness.
The resources include:
🎉Papers🎉: The latest papers about In-Context Learning, Prompt Engineering, Agent, and Foundation Models.
🎉Playground🎉: Large language models（LLMs）that enable prompt experimentation.
🎉Prompt Engineering🎉: Prompt techniques for leveraging large language models.
🎉ChatGPT Prompt🎉: Prompt examples that can be applied in our work and daily lives.
🎉LLMs Usage Guide🎉: The method for quickly getting started with large language models by using LangChain.
In the future, there will likely be two types of people on Earth (perhaps even on Mars, but that's a question for Musk):
- Those who enhance their abilities through the use of AIGC;
- Those whose jobs are replaced by AI automation.
💎EgoAlpha: Hello! human👤, are you ready?
Table of Contents
🔥 AI Spotlight: Trending Research Papers
[2026-05-29]
CubePart: An Open-Vocabulary Part-Controllable 3D Generator （New）
Published: 2026-05-27
Yiheng Zhu, Kangle Deng, Jean-Philippe Fauconnier, Inaki Navarro, Daiqing Li, Ava Pun, Yinan Zhang, Peiye Zhuang, Xiaoxia Sun, Maneesh Agrawala, Kiran Bhat, Tinghui Zhou - [arXiv]
From Pixels to Words -- Towards Native One-Vision Models at Scale （New）
Published: 2026-05-27
Haiwen Diao, Jiahao Wang, Penghao Wu, Yuhao Dong, Yuwei Niu, Yue Zhu, Zhongang Cai, Weichen Fan, Linjun Dai, Silei Wu, Xuanyu Zheng, Mingxuan Li, Yuanhan Zhang, Bo Li, Hanming Deng, Huchuan Lu, Quan W - [arXiv]
ESC-Skills: Discovering and Self-Evolving Skills for Emotional Support Conversations （New）
Published: 2026-05-27
Jie Zhu, Huaixia Dou, Shuo Jiang, Junhui Li, Lifan Guo, Feng Chen, Chi Zhang, Fang Kong - [arXiv]
Beyond Mode Collapse: Distribution Matching for Diverse Reasoning （New）
Published: 2026-05-19
Xiaozhe Li, Yang Li, Xinyu Fang, Shengyuan Ding, Peiji Li, Yongkang Chen, Yichuan Ma, Tianyi Lyu, Linyang Li, Dahua Lin, Qipeng Guo, Qingwen Liu, Kai Chen - [arXiv]
OScaR: The Occam's Razor for Extreme KV Cache Quantization in LLMs and Beyond （New）
Published: 2026-05-19
Zunhai Su, Rui Yang, Chao Zhang, Yaxiu Liu, Yifan Zhang, Wei Wu, Jing Xiong, Dayou Du, Xialie Zhuang, Yulei Qian, Yuchen Xie, Yik-Chung Wu, Hongxia Yang, Ngai Wong - [arXiv]
📜 Papers
You can directly click on the title to jump to the corresponding PDF link location
Survey
Motion meets Attention: Video Motion Prompts （2024.07.03）
Towards a Personal Health Large Language Model （2024.06.10）
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning （2024.06.10）
Towards Lifelong Learning of Large Language Models: A Survey （2024.06.10）
Towards Semantic Equivalence of Tokenization in Multimodal LLM （2024.06.07）
LLMs Meet Multimodal Generation and Editing: A Survey （2024.05.29）
Tool Learning with Large Language Models: A Survey （2024.05.28）
When LLMs step into the 3D World: A Meta-Analysis of 3D Tasks via Multi-modal Large Language Models （2024.05.16）
Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach （2024.04.24）
A Survey on the Memory Mechanism of Large Language Model based Agents （2024.04.21）
👉Complete paper list 🔗 for "Survey"👈
Prompt Engineering
Prompt Design
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy （2024.06.28）
Dataset Size Recovery from LoRA Weights （2024.06.27）
Dual-Phase Accelerated Prompt Optimization （2024.06.19）
VoCo-LLaMA: Towards Vision Compression with Large Language Models （2024.06.18）