arXiv:2604.00187v1 Announce Type: cross
Abstract: Explainable Artificial Intelligence (XAI) is critical for ensuring trust and accountability, yet its development remains predominantly visual. For blind and low-vision (BLV) users, the lack of accessib…
arXiv:2604.00556v1 Announce Type: cross
Abstract: Housing selection is a high-stakes and largely irreversible decision problem. We study housing consultation as a decision-support interface for housing selection. Existing housing platforms and many LL…
arXiv:2604.00694v1 Announce Type: cross
Abstract: Autonomous agents increasingly interact with the web, yet most websites remain designed for human browsers — a fundamental mismatch that the emerging “Agentic Web” must resolve. Agents must repeated…
arXiv:2604.00300v1 Announce Type: new
Abstract: This paper presents REMind, an innovative educational robot-mediated role-play game designed to support anti-bullying bystander intervention among children. REMind invites players to observe a bullying s…
arXiv:2603.29495v1 Announce Type: new
Abstract: Positive margins are common in head and neck squamous cell carcinoma, yet intraoperative re-resection is often imprecise because margin locations are typically communicated verbally from pathology. We pr…
arXiv:2603.14841v2 Announce Type: replace
Abstract: Road crashes remain a leading cause of preventable fatalities. Existing prediction models predominantly produce binary outcomes, which offer limited actionable insights for real-time driver feedback….
arXiv:2602.20206v2 Announce Type: replace-cross
Abstract: The democratization of Large Language Models has given rise to vibe coding, where novice programmers prioritize semantic intent over syntactic implementation. Without pedagogical guardrails, we…
arXiv:2603.09964v2 Announce Type: replace-cross
Abstract: As social virtual reality (VR) grows more popular, addressing accessibility for blind and low vision (BLV) users is increasingly critical. Researchers have proposed an AI “sighted guide” to hel…
arXiv:2601.20404v2 Announce Type: replace-cross
Abstract: AI coding agents such as Codex and Claude Code are increasingly used to autonomously contribute to software repositories. However, little is known about how repository-level configuration artif…
arXiv:2501.08096v4 Announce Type: replace
Abstract: Reinforcement Learning (RL) has shown excellent performance in solving decision-making and control problems of autonomous driving, which is increasingly applied in diverse driving scenarios. However,…