Papers
Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.
Ask Your Advisor: Learning When to Consult Stronger Models in Agentic Systems
by Pascal Sowietzki, Steffen Holter, Yannick Metz, Emil Kasper, Raphael Baur, Mennatallah El-Assady
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
Decision-Focused Learning for Cyber-Physical Risk-Aware Power Grid Operations
by Ayesha Siddiqua Dina, Ebisa D.Wollega, Afzal Hossain Sohag
Inference-Time Steering Across Scaffolds and Epitopes for Sample-Efficient De Novo Nanobody Design
by Mason Minot, Simon Friedensohn, Cédric R. Weber
Returning to Development States: When Full Sandbox Snapshots Help Coding Agents
by Daniel Thi Graviet, Tanmay Shah
Studying Comics at Scale with Artificial Intelligence: The PAGE Framework and Three Studies of American Comics and Japanese Manga
by Emilio Ferrara
Specialists Learn Faster: Knowledge Organization in Pre-training Shapes Knowledge Update Efficiency
by Sheng Zhao, Yuhao Zhu
On the Design Space of Continuous Diffusion Language Models
by Oscar Davis, Daan Roos, Alice Bizeul, Amitis Shidani, Victor Turrisi, Louis Béthune, Pierre Ablin, Marco Cuturi
Shared Canonical Component Removal Beyond Expert Views
by Jose Roberto Tello Ayala, Akl C. Fahed, Roy Perlis, Finale Doshi-Velez
TabMF: Learning Dataset Representations with Tabular Foundation Models
by Rafiq Kamel, Nicolas Atienza, Aziz Fouché, Nicola Cancedda, Josif Grabocka