Large Language Model - Tag - DataSci Ocean

Large Language Model

2026

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

LLM-as-a-Verifier: A Better Alternative to LLM-as-a-Judge 08-26

RAGU: The Paper That Accidentally Measured GraphRAG's Ceiling 08-22

SAG: Multi-Hop RAG via Query-Time SQL, Not Offline Graphs 08-19

SketchVLM: Letting a VLM Draw Its Own Reasoning 08-08

Persona-Aware D2S: One Paper, Four Audience-Tailored Slide Decks 07-29

Claude Code Concepts: Agentic Loop, Tools, Skills, and Permissions 07-24

Cerebras's Enterprise RAG: Narrow-Waist Design, Decoupled Retrieval 07-23

SkillOpt: Treating an Agent's Skill File as a Trainable Weight 07-22

Adaptive Chunking: A Smarter, Per-Document Way to Split Text for RAG 07-22

Beyond Text-to-SQL: Implementing OpenAI’s 6-Layer Context Data Agent and the Hidden Challenges 04-25

AgentOpt: How to Optimize Client-Side LLM Agents and Cut API Costs by 67% 04-17

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

Takeaways of vLLM Semantic Router 03-29

Beyond Fine-Tuning: How MemRL Enables Self-Evolving AI Agents via Reinforcement Learning 03-29

UniversalRAG: Mastering Multimodal RAG with Intelligent Routing and Granularity Control 03-25

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

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