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Single-Agent
2026
Claude Code Concepts: Agentic Loop, Tools, Skills, and Permissions
07-24
SkillOpt: Treating an Agent's Skill File as a Trainable Weight
07-22
Beyond Text-to-SQL: Implementing OpenAI’s 6-Layer Context Data Agent and the Hidden Challenges
04-25
ERL: Teaching LLM Agents to Learn from a Single Attempt Without Fine-Tuning
04-10
Harness Engineering: Building Self-Evolving AI Agents with Ralph Loop and MemRL
04-05
WebResearcher: Redefining Deep Research through the Art of Iterative State Reconstruction
04-02
Beyond the Context Window: A Deep Dive into Context Engineering for AI Agents
03-22
Beyond Prompt Engineering: The System Engineering of AI Agents — Deconstructing Memory, Tool-Making, and Autonomy in OpenClaw
03-16
[EMNLP 2025] TableRAG Deep Dive: Text is for Reading, Tables are for Querying (via SQL)
02-13
2025
Beyond Prompt Engineering: Inside Agentic Context Engineering, The Future of Self-Evolving AI
10-27
Dynamic Cheatsheet: The Secret to Self-Improving LLMs that Learn During Inference
10-15
Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QA
06-28
Steering Large Language Models Between Code Execution and Textual Reasoning
05-25
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents
05-20
Intorduction to LangMem
05-06
HuatuoGPT-o1: Towards Medical Complex Reasoning with LLMs
01-31
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
01-27
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records
01-26