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
[2026-05-27]
Published: 2026-05-20
Ziang Cao, Yinghao Liu, Haitian Li, Runmao Yao, Fangzhou Hong, Zhaoxi Chen, Liang Pan, Ziwei Liu - [arXiv]
TriSplat: Simulation-Ready Feed-Forward 3D Scene Reconstruction （New）
Published: 2026-05-25
Weijie Wang, Zimu Li, Jinchuan Shi, Zeyu Zhang, Botao Ye, Marc Pollefeys, Donny Y. Chen, Bohan Zhuang - [arXiv]
WavFlow: Audio Generation in Waveform Space （New）
Published: 2026-05-18
Feiyan Zhou, Luyuan Wang, Shoufa Chen, Zhe Wang, Zhiheng Liu, Yuren Cong, Xiaohui Zhang, Fanny Yang, Belinda Zeng - [arXiv]
OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization （New）
Published: 2026-05-18
Zhongzhu Zhou, Donglin Zhuang, Jisen Li, Ziyan Chen, Shuaiwen Leon Song, Ben Athiwaratkun, Xiaoxia Wu - [arXiv]
Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution （New）
Published: 2026-05-22
Hongbo Wang, Huaibo Huang, Pin Wang, Jinhua Hao, Chao Zhou, Ran He - [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）
[LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation](https://a