Thirteen Skills Push Hallucination Detection to 92%
- Thirteen Skills Make Research Agents Auditable. Spark-to-Paper raises hallucination detection from 14% to 92%, with 99.5% citation validity.
- Weak Models Improve From 0.49 to 0.91 Without Parameter Updates. AI4AI uses strong models to build execution harnesses from code, routing, and format constraints.
- Safety Evaluations Can Now Generate Adversarial Tool Environments at Scale. ToolHazard finds injection points and creates environment-specific payloads, but scale cannot replace business relevance.
- StateFlow Organizes 3D Previsualization Around World Memory and Render Feedback. Its access stage corrects camera plans into visually feasible trajectories.
Also Notable
- Creative Agents Need Business Context and Visual Cues — MBA tests six business scenarios and warns against reducing real-world context to plain text.
- Synthetic Paired Data Trains Video Reflection Removal — The approach offers a data-building route for temporal restoration tasks without real supervision.
- Road Geometry Priors Cut Driving Video Sampling — GeoFlow's speed gains matter only if they preserve consistency across moving objects.
- AVA-Encoder Gives Creative Agents Structured Video Representations — It aims to stop agents from treating video as nothing more than continuous pixels.
- Funnel Models Can Combine Conversion and Order Value — FunnelCausalNet estimates coupon uplift for zero-inflated, heavy-tailed revenue while staying closer to business decisions.
- Bilevel Optimization Reframes Black-Box Transfer Attacks — The method jointly handles initialization, surrogate adaptation, and gradient updates.
- Text and Visual Anchors Merge Anomaly Signals — The method tries to reduce zero-shot detection's dependence on text semantics.
- Earth Observation Embeddings Improve Local Weather Detail — They add surface information missed by coarse weather grids for probabilistic downscaling at arbitrary stations.
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