🟡 Notable
Enterprise Adoption
🟡 Our agreement with the Department of War — score 50
Sources: lab_blog/OpenAI
Details on OpenAI’s contract with the Department of War, outlining safety red lines, legal protections, and how AI systems will be deployed in classified environments.
📄 New Papers
| Title | Category | Score | Link |
|---|---|---|---|
| From Stochastic Answers to Verifiable Reasoning: Interpretable Decision-Making with LLM-Generated Code | cs.AI | 0 | Open |
| Hereditary Geometric Meta-RL: Nonlocal Generalization via Task Symmetries | cs.AI | 0 | Open |
| USE: Uncertainty Structure Estimation for Robust Semi-Supervised Learning | cs.AI | 0 | Open |
| Agent-Based User-Adaptive Filtering for Categorized Harassing Communication | cs.AI | 0 | Open |
| Geodesic Gradient Descent: A Generic and Learning-rate-free Optimizer on Objective Function-induced Manifolds | cs.AI | 0 | Open |
| Exact and Asymptotically Complete Robust Verifications of Neural Networks via Quantum Optimization | cs.AI | 0 | Open |
| MuonRec: Shifting the Optimizer Paradigm Beyond Adam in Scalable Generative Recommendation | cs.AI | 0 | Open |
| TMR-VLA:Vision-Language-Action Model for Magnetic Motion Control of Tri-leg Silicone-based Soft Robot | cs.AI | 0 | Open |
| An Interpretable Local Editing Model for Counterfactual Medical Image Generation | cs.AI | 0 | Open |
| CURE: A Multimodal Benchmark for Clinical Understanding and Retrieval Evaluation | cs.AI | 0 | Open |
| Personalities at Play: Probing Alignment in AI Teammates | cs.AI | 0 | Open |
| Taxonomy-Aware Representation Alignment for Hierarchical Visual Recognition with Large Multimodal Models | cs.AI | 0 | Open |
| TAP-SLF: Parameter-Efficient Adaptation of Vision Foundation Models for Multi-Task Ultrasound Image Analysis | cs.AI | 0 | Open |
| ROKA: Robust Knowledge Unlearning against Adversaries | cs.AI | 0 | Open |
| Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models | cs.AI | 0 | Open |