arXiv
Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills
Autonomous agents are beginning to carry out machine-learning (ML) research end to end. These agents combine a model ...
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arXiv
Bilevel Coordinated Reflection: A Game-Theoretic Approach to Multi-Agent LLM Systems
Multi-agent LLM systems commonly use an orchestrator to decompose a task for a team of workers and then improve throu...
arXiv
Untangling the Mechanisms of Misleading Context in Medical Question Answering
Large language models now answer medical questions with expert-level performance. However, the context these systems ...
arXiv
Measurement-Driven Sub-Network Selection for On-Premise Retrieval-Augmented Factory Agents
On-premise assistants can give factory workers conversational access to machine documentation, but models capable of ...
arXiv
From Reweighting to Rewriting: Unlocking the Intervention Effects of Influential Samples in Training Data Attribution
Training data attribution (TDA) aims to identify training examples that shape model behavior, but its intervention va...
arXiv
SafeEvolve: Harness-Policy Co-Evolution from Agent Experience for Safety Alignment
The performance of LLM-based agents is jointly shaped by the base model and the harness used when interacting with th...
arXiv
Dutch Books for Language Models
People increasingly use language models to support life decisions. Many such decisions involve a probabilistic foreca...
arXiv
frb100-40 After Two Decades: An Optimality Certificate and a Preregistered Search Study
For more than 20 years, the Model-RB benchmark frb100-40 remained an open challenge; since 2014, its public record ha...
arXiv
Large Language Models (LLMs) for Telecom Root Cause Analysis (RCA): A Structured Reasoning Framework for Evidence-Grounded Diagnosis
Root cause analysis (RCA) is a critical task in telecom network operations, but diagnosing performance degradations i...
arXiv
AI Contextual Measurement for Recovering Individual and Group-Level Effects: Validation Against Survey Measures and an Occupational Application
Researchers increasingly use artificial intelligence to construct measures of social, organizational, and occupationa...
arXiv
Post-Training Language Models for Gold-Medal Performance in Coding Competitions
Competitive programming has become a key test of large language model reasoning, with international competitions such...
arXiv
Towards Trustworthy Autonomous Robots: An Explainable AI-Based Decision Framework
Autonomous robots powered by deep learning face a fundamental auditability challenge: when incidents occur, investiga...