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...

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2026-09-03
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...

AI 聚合
2026-09-03
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...

AI 聚合
2026-09-03
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...

AI 聚合
2026-09-03
arXiv

Discriminative World Models for Web Agents

Recent web agents use world models for test-time action selection by sampling candidate actions, predicting the resul...

AI 聚合
2026-09-03
HuggingFace

Cliff: Learning Process Rewards from the First Mistake

Reinforcement learning with verifiable rewards (RLVR) has emerged as a powerful paradigm for large language model (LL...

AI 聚合
2026-09-03
HuggingFace

Kirin: Animal Motion Generation from In-the-Wild Video

Understanding animal motion is fundamental to modeling animal behavior and biomechanics, yet progress in this area la...

AI 聚合
2026-09-03
HuggingFace

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...

AI 聚合
2026-09-03
HuggingFace

On the Design Fundamentals of Pixel Text Representation Learning

Text-rich visual inputs require models that can read, retrieve, and compress language directly in pixel space, yet ex...

AI 聚合
2026-09-03
HuggingFace

Language Models Can Control Their Own Attention

Language models spend most of their attention on a small fraction of context, yet they read the entire KV cache to fi...

AI 聚合
2026-09-03
HuggingFace

EarlyEval: Cheaper Agent Evaluation via Early Outcome Prediction

Evaluating LLM agents is essential for guiding their development, yet it has grown prohibitively expensive: a single ...

AI 聚合
2026-09-03
HuggingFace

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 ...

AI 聚合
2026-09-03
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