Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills
Autonomous research agents are becoming increasingly capable of handling machine learning tasks, yet they often struggle with a specific hurdle: the gap betw...
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Understand new AI research with readable explanations and links to the original papers.
Autonomous research agents are becoming increasingly capable of handling machine learning tasks, yet they often struggle with a specific hurdle: the gap betw...
Bilevel Coordinated Reflection: A Game-Theoretic Approach to Multi-Agent LLM Systems Multi-agent LLM systems often use an orchestrator to break down complex...
Loom: Weaving Diagnostic Strands into Free-Text Consensus via Embedding-Space Reweighting In industrial settings, identifying the root cause of system failur...
Measurement-Driven Sub-Network Selection for On-Premise Retrieval-Augmented Factory Agents Factory workers often need quick access to technical machine docum...
Large Language Models (LLMs) for Telecom Root Cause Analysis (RCA): A Structured Reasoning Framework for Evidence-Grounded Diagnosis Modern 5G and emerging 6...
AI Contextual Measurement for Recovering Individual and Group-Level Effects: Validation Against Survey Measures and an Occupational Application Researchers o...
Door-in-the-Face Requests and Refusal Behaviour in Large Language Models This paper investigates whether the "door-in-the-face" (DITF) technique—a social psy...
Collective creativity in hybrid societies The paper Collective creativity in hybrid societies explores how the integration of generative AI into human creati...
Harness-of-Harness (HoH) is a framework designed to enable AI coding agents to build complex software systems from scratch without human intervention.
Neuro-Symbolic Geometric Abstraction (NeuSOGA): From Observations to Symbolic Mathematical Representations Modern artificial intelligence excels at recognizi...
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