Cards

Developer-Gathered, AI-Crafted, Human-Checked.

RAPTOR: RECURSIVE ABSTRACTIVE PROCESSING FOR TREE-ORGANIZED RETRIEVAL

What makes Claude Code so damn good (and how to recreate that magic in your agent)!?

Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning

LeanRAG: Knowledge-Graph-Based Generation with Semantic Aggregation and Hierarchical Retrieval

Dummy's Guide to Modern LLM Sampling Intro Knowledge

DOM-based Extension Clickjacking: Your Password Manager Data at Risk

The Future of AI: Exploring the Potential of Large Concept Models

Enhancing Retrieval-Augmented Generation: A Study of Best Practices

CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs

Titans: Learning to Memorize at Test Time

Don’t Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution

Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning

RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning

MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models

Learning without training: The implicit dynamics of in-context learning

Retrieval-Augmented Reasoning with Lean Language Models

MCP vs CLI: Benchmarking Tools for Coding Agents

The MCP Security Survival Guide: Best Practices, Pitfalls, and Real-World Lessons

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models

Building a web search engine from scratch in two months with 3 billion neural embeddings

How to Hack a Web3 Wallet (Legally): A Full-Stack Pentesting Guide

Lost in the Middle: How Language Models Use Long Contexts