The Specification Gap: Coordination Failure Under Partial Knowledge in Code Agents
arXiv:2603.24284v1 Announce Type: cross Abstract: When multiple LLM-based code agents independently implement parts of the same class, they must agree…
Tiny Inference-Time Scaling with Latent Verifiers
arXiv:2603.22492v2 Announce Type: replace-cross Abstract: Inference-time scaling has emerged as an effective way to improve generative models at test time…
Memory Bear AI Memory Science Engine for Multimodal Affective Intelligence: A Technical Report
arXiv:2603.22306v1 Announce Type: new Abstract: Affective judgment in real interaction is rarely a purely local prediction problem. Emotional meaning often…
Beyond Matching to Tiles: Bridging Unaligned Aerial and Satellite Views for Vision-Only UAV Navigation
arXiv:2603.22153v2 Announce Type: replace-cross Abstract: Recent advances in cross-view geo-localization (CVGL) methods have shown strong potential for supporting unmanned aerial…
Set-Valued Prediction for Large Language Models with Feasibility-Aware Coverage Guarantees
arXiv:2603.22966v1 Announce Type: cross Abstract: Large language models (LLMs) inherently operate over a large generation space, yet conventional usage typically…
The EU AI Act and the Rights-based Approach to Technological Governance
arXiv:2603.22920v1 Announce Type: cross Abstract: The EU AI Act constitutes an important development in shaping the Union’s digital regulatory architecture.…
BadminSense: Enabling Fine-Grained Badminton Stroke Evaluation on a Single Smartwatch
arXiv:2603.21825v2 Announce Type: replace-cross Abstract: Evaluating badminton performance often requires expert coaching, which is rarely accessible for amateur players. We…
Robust Safety Monitoring of Language Models via Activation Watermarking
arXiv:2603.23171v1 Announce Type: cross Abstract: Large language models (LLMs) can be misused to reveal sensitive information, such as weapon-making instructions…
Can Graph Foundation Models Generalize Over Architecture?
arXiv:2603.22984v1 Announce Type: cross Abstract: Graph foundation models (GFMs) have recently attracted interest due to the promise of graph neural…
VISion On Request: Enhanced VLLM efficiency with sparse, dynamically selected, vision-language interactions
arXiv:2603.23495v1 Announce Type: cross Abstract: Existing approaches for improving the efficiency of Large Vision-Language Models (LVLMs) are largely based on…