arXiv:2608.06409v1 Announce Type: cross Abstract: Speech language models are increasingly evaluated on paralinguistic tasks by the accuracy of prompted…
Category: AI
Model ML completes finance work more efficiently with GPT-5.6 Sol
Model ML uses GPT-5.6 Sol to carry finance work from research and analysis through editable, traceable PowerPoint decks and Excel workbooks.
ED-CSP: Crystal Structure Prediction from Electron Diffraction
arXiv:2608.06448v1 Announce Type: cross Abstract: Recovering a periodic 3D crystal structure from sparse, unindexed electron diffraction (ED) observations…
Told to book a gym class, an AI agent hacked the site instead to move its user up the waitlist
An Australian user just wanted a spot in a class. His AI agent found a security hole instead and exploited it. The article Told to book a gym class, an AI…
WorldMark: A Plug-and-Play World Knowledge Interface for Cross-Host Language Model Watermarking
arXiv:2608.06416v1 Announce Type: cross Abstract: Watermarking traces the provenance of text produced by large language models by embedding statistically…
Why Agentic AI Will Fail Without Trusted Asset Data
Agentic AI is moving quickly from discussion to deployment in asset-intensive industries. Unlike generative AI, which summarizes information or drafts…
TransSLR: A Lightweight Transformer for Sign Language Recognition
arXiv:2608.06407v1 Announce Type: cross Abstract: Automated Sign Language Recognition for under-represented languages remains a largely unsolved problem.…
Recovering Explanations from Transformed Rule-Based Ontologies
arXiv:2608.06399v1 Announce Type: cross Abstract: Datalog rules are often used to define ontologies over Knowledge Graphs. Rule reasoners routinely…
Evaluating XAI Support From A Hierarchical Reinforcement Learning Policy in Human-Agent Collaboration
arXiv:2608.06381v1 Announce Type: cross Abstract: Explainable AI (XAI) has shown promise for human-agent collaboration, yet results rely on hand-crafted…
TEXAS: Task-Expert-Aware Supervision for Downstream Mixture-of-Experts LLM Adaptation
arXiv:2608.06396v1 Announce Type: cross Abstract: Mixture-of-Experts (MoE) language models route each token through a small subset of experts, making…
