Papers

Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.

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programming languages Oct 12 BT-Agent: Deploying Onboard Robot Agents with Behavior Trees and Multi-Fidelity Evaluation by Fabio Hübel, Adam Lilja, Yue Yin, Siming He, Claire Tomlin, Shankar Sastry, Jonas Frey, Marco Pavone cybersecurity Oct 12 Decision-Focused Learning for Cyber-Physical Risk-Aware Power Grid Operations by Ayesha Siddiqua Dina, Ebisa D.Wollega, Afzal Hossain Sohag machine learning Oct 12 Inference-Time Steering Across Scaffolds and Epitopes for Sample-Efficient De Novo Nanobody Design by Mason Minot, Simon Friedensohn, Cédric R. Weber machine learning Oct 12 Specialists Learn Faster: Knowledge Organization in Pre-training Shapes Knowledge Update Efficiency by Sheng Zhao, Yuhao Zhu machine learning Oct 12 TabMF: Learning Dataset Representations with Tabular Foundation Models by Rafiq Kamel, Nicolas Atienza, Aziz Fouché, Nicola Cancedda, Josif Grabocka machine learning Oct 12 Spanning Diffusion and Flow-based Posterior Sampling via Exact Gaussian Conditioning by Teo Deveney, Lea Bogensperger, Hok Shing Wong ai Oct 12 QTestBench: A Test Framework for Evaluating LLM-Generated Quantum Code by Meriem Terki, Nouhaila Innan, Minghao Shao, Muhammad Kashif, Alberto Marchisio, Muhammad Shafique machine learning Oct 12 FORTE: A Production Framework for Feature Evaluation and Deprecation in Industrial Recommender Systems by Vishnu Arun, Adam Obeng, Tianyou Wang, Zilin Ren, Mukuntha Narayanan Sundararaman, Han Wang, Shivin Thukral, Zhixiang Wang, Saurabh Vishwas Joshi, Darren Reger ai Oct 09 On the estimation and validity of AI time horizons---a statistical look at the METR plot by Drew T. Nguyen, William Fithian ai Oct 09 From Reactive Containment to Proactive Assurance: Lessons from OpenAI, Anthropic, and Google Agent Security Incidents by Abbas Raftari