Studying People to Study AI: Expert Perspectives on the Epistemic Fit and Barriers of Human Research in AI Safety & Ethics
arXiv:2608.05656v2 Announce Type: replace-cross Abstract: Safety risks of AI are becoming increasingly evident in human interactions with AI technologies. The…
Towards Multi-Label Graph Foundation Models: from Single-Vector Representation Learning to Multi-Semantic Basis Learning
arXiv:2608.06394v1 Announce Type: new Abstract: Multi-label node classification is an important yet challenging task in graph learning, where nodes exhibit…
Audio-to-Score Transcription using Pre-trained Features, Data Augmentation, and the New SheetSage-A2S Dataset
arXiv:2608.06165v2 Announce Type: replace-cross Abstract: Existing audio-to-score (A2S) systems primarily focus on classical music, and the application to popular music…
HarnessSafe: Evaluating Safety Across Persistent Carriers in Agent Harnesses
arXiv:2608.06984v1 Announce Type: cross Abstract: Modern agent harnesses persist state across tasks and sessions through persistent carriers like memory, skills,…
PHASE-Tree: Modeling Character-State Evolution in Long-Horizon Role-Playing Dialogue
arXiv:2608.06975v1 Announce Type: cross Abstract: Long-horizon role-playing demands that characters remain recognizable as they evolve with the narrative. Yet existing…
HyTBE: Hyperbolic Target-Background Expert Model for Cross-Domain Infrared Small Target Detection
arXiv:2608.05771v2 Announce Type: replace-cross Abstract: Infrared small target detection (IRSTD) has achieved substantial progress under domain-consistent evaluation, yet detector performance…
Agentic Nesting: A New Methodology for Existing Enterprise Application Integration and Services
arXiv:2608.05159v1 Announce Type: new Abstract: Enterprise operations extensively rely on multiple heterogeneous business systems and information applications, which also result…
OPD-V: Visual On-Policy Self-Distillation with Modality Balance
arXiv:2608.05131v2 Announce Type: replace-cross Abstract: On-Policy Self-Distillation (OPSD) has become a standard post-training approach for improving visual reasoning in multimodal…