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Led by US, exits from gold ETFs continue for the 5th week in a row Domain-Guided Prompting Boosts Segment Anything Model for Seismic Interpretation Spokes Optimizes Diverse Pretraining Data Selection for LLMs, Boosting Performance Medical Heuristic Learning: LLM-Driven Framework for Interpretable Clinical Decision Rules Commodore Callback 8020 Brings Digital Detox With Modern Apps and Retro Design PreLort: Prefix-Nested LoRA Enables Federated Fine-Tuning Across Heterogeneous Hardware Ranks Research Shows 'Retrieve, Don't Retrain' Approach Cuts AI Model Adaptation Costs Multi-Modal Attention Model Achieves 94.9% Accuracy in Automated Disaster Damage Classification Using Satellite Imagery AdaSTORM Breakthrough Scales LLM Reasoning to Thousand-Node Dynamic Graphs, Paves Way for Supply Chain AI Finance survived the quantum threat by preparing early. Mythos won't make it so easy Led by US, exits from gold ETFs continue for the 5th week in a row Domain-Guided Prompting Boosts Segment Anything Model for Seismic Interpretation Spokes Optimizes Diverse Pretraining Data Selection for LLMs, Boosting Performance Medical Heuristic Learning: LLM-Driven Framework for Interpretable Clinical Decision Rules Commodore Callback 8020 Brings Digital Detox With Modern Apps and Retro Design PreLort: Prefix-Nested LoRA Enables Federated Fine-Tuning Across Heterogeneous Hardware Ranks Research Shows 'Retrieve, Don't Retrain' Approach Cuts AI Model Adaptation Costs Multi-Modal Attention Model Achieves 94.9% Accuracy in Automated Disaster Damage Classification Using Satellite Imagery AdaSTORM Breakthrough Scales LLM Reasoning to Thousand-Node Dynamic Graphs, Paves Way for Supply Chain AI Finance survived the quantum threat by preparing early. Mythos won't make it so easy
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pipeline

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OmniTraffic Pipeline Enables Controlled Training of Spatio-Temporal Traffic AI for Logistics Technology
Artificial Intelligence #omnitraffic#controllable generation

OmniTraffic Pipeline Enables Controlled Training of Spatio-Temporal Traffic AI for Logistics

Researchers introduce OmniTraffic, a controllable generation pipeline and benchmark for spatio-temporal traffic reasoning. Built on 12 real-world intersections and surveillance footage from two countries, it generates 8M VQA samples and a 3K human-verified test set. Evaluation of 11 frontier MLLMs shows a large human-model gap, especially in topology-grounded reasoning. Fine-tuning on OmniTraffic data improves real-world performance, offering a valuable tool for logistics and supply chain AI.

Jun 16, 2026 1 source
Mask-Proof: New LLM Pipeline Automates Data Curation for Mathematical Proofs with 96.8% Accuracy Technology
Artificial Intelligence #llm#machine learning

Mask-Proof: New LLM Pipeline Automates Data Curation for Mathematical Proofs with 96.8% Accuracy

Researchers introduce Mask-Proof, an LLM-based pipeline that turns real mathematical proofs into automatically checkable masked-step tasks. The resulting Mask-ProofBench contains 292 problems. Seventeen models tested show reasoning-enhanced models outperform standard ones by 12-27%, with the evaluator achieving 96.8% agreement with expert annotators.

Jun 16, 2026 1 source