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Featured image for WikiSkill: A Skill Memory That Never Gets Rolled Back

WikiSkill: A Skill Memory That Never Gets Rolled Back

Hong-Wei Wu avatarHong-Wei Wu  published on 2026-09-02 included in  category Paper Introduction
WikiSkill adds a wiki layer that never gets rolled back between raw agent traces and skill files, so each skill edit builds on accumulated cross-iteration evidence.
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 Large Language Model, Agent Memory, Prompting, Single-Agent
Featured image for LLM-as-a-Verifier: A Better Alternative to LLM-as-a-Judge

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

Hong-Wei Wu avatarHong-Wei Wu  published on 2026-08-26 included in  category Paper Introduction
LLM-as-a-Verifier reads the full score-token probability distribution instead of argmax, eliminating ties and beating trained reward models with zero training.
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 Large Language Model, LLM-as-a-Judge, Evaluation, Uncertainty Estimation
Featured image for RAGU: The Paper That Accidentally Measured GraphRAG's Ceiling

RAGU: The Paper That Accidentally Measured GraphRAG's Ceiling

Hong-Wei Wu avatarHong-Wei Wu  published on 2026-08-22 included in  category Paper Introduction
A close reading of RAGU's GraphRAG engine -- two-stage extraction, DBSCAN consolidation, Leiden clustering -- and the number in its own tables: the graph is worth 1.2 to 4.3 pp.
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 Large Language Model, Retrieval-Augmented Generation, Evaluation
Featured image for SAG: Multi-Hop RAG via Query-Time SQL, Not Offline Graphs

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

Hong-Wei Wu avatarHong-Wei Wu  published on 2026-08-19 included in  category Paper Introduction
SAG skips the offline knowledge graph, storing events and entities in SQL, joined at query time -- beating HippoRAG 2 on multi-hop benchmarks like MuSiQue.
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 Large Language Model, Retrieval-Augmented Generation
Featured image for SketchVLM: Letting a VLM Draw Its Own Reasoning

SketchVLM: Letting a VLM Draw Its Own Reasoning

Hong-Wei Wu avatarHong-Wei Wu  published on 2026-08-08 included in  category Paper Introduction
A walkthrough of SketchVLM: with no retraining, a coordinate grid, XML commands and Bezier smoothing let a VLM annotate the image so its answers become verifiable.
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 Vision Language Model, Large Language Model, Prompting
Featured image for Persona-Aware D2S: One Paper, Four Audience-Tailored Slide Decks

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

Hong-Wei Wu avatarHong-Wei Wu  published on 2026-07-29 included in  category Paper Introduction
Persona-Aware D2S (EACL 2024) generates four slide-deck versions of one paper by audience and length, via an RLHF-lite pipeline we unpack and critique.
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 Large Language Model, Fine-Tuning, LLM Alignment
Featured image for Claude Code Concepts: Agentic Loop, Tools, Skills

Claude Code Concepts: Agentic Loop, Tools, Skills

Hong-Wei Wu avatarHong-Wei Wu  published on 2026-07-24 included in  category Essential AI Concept
A concept-level tour of Claude Code's architecture: the read-think-act agentic loop, its tool system, CLAUDE.md project memory, hooks, skills, MCP, and permission model.
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 Large Language Model, Single-Agent, Agent Memory
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2022 - 2026 Hong-Wei Wu | CC BY-NC 4.0