Single-Agent - Tag - DataSci Ocean

Single-Agent

2026

Skill Files Bloat as Agents Self-Evolve: Inside SkillZip's Fix 10-21

Do Agents Need a Map to Search Documents? Inside CorpusMap 10-17

Do Self-Improving Agents Just Memorize the Test? Inside Google's RRSI 10-04

Resource2Skill: Video Alone Beats Code, Articles, Artifacts Combined 09-30

Naive Prompt Optimization: What's Left Once You Remove the Search 09-27

Dream-RSI: Replay History as a Free Simulator, Not a World Model 09-21

WikiSkill: A Skill Memory That Never Gets Rolled Back 09-02

Claude Code Concepts: Agentic Loop, Tools, Skills 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

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