When Agents Persuade: Rhetoric Generation and Mitigation in LLMs

Learning Dexterous Grasping from Sparse Taxonomy Guidance

arXiv:2604.04138v1 Announce Type: cross Abstract: Dexterous manipulation requires planning a grasp configuration suited to the object and task, which is then executed through coordinated multi-finger

Enhancing behavioral nudges with large language model-based iterative personalization: A field experiment on electricity and hot-water conservation

arXiv:2604.03881v1 Announce Type: cross Abstract: Nudging is widely used to promote behavioral change, but its effectiveness is often limited when recipients must repeatedly translate feedback

Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics

arXiv:2604.03980v1 Announce Type: cross Abstract: Parameter-efficient prompt learning has become the de facto standard for adapting Vision-Language Models (VLMs) to downstream tasks. Existing approaches predominantly

Unveiling Language Routing Isolation in Multilingual MoE Models for Interpretable Subnetwork Adaptation

arXiv:2604.03592v1 Announce Type: cross Abstract: Mixture-of-Experts (MoE) models exhibit striking performance disparities across languages, yet the internal mechanisms driving these gaps remain poorly understood. In

15 Years of Augmented Human(s) Research: Where Do We Stand?

arXiv:2604.03715v1 Announce Type: cross Abstract: The Augmented Human vision broadly seeks to improve or expand baseline human functioning through the restoration or extension of physical,