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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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deepfake detection

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Teacher-Student Domain Adaptation Boosts Ensemble Audio-Visual Deepfake Detection by Up to 18% Technology
Artificial Intelligence #deepfake detection#teacher-student

Teacher-Student Domain Adaptation Boosts Ensemble Audio-Visual Deepfake Detection by Up to 18%

Researchers propose EAV-DFD, an ensemble audio-visual deepfake detection model with a teacher-student domain adaptation mechanism. Tested on FakeAVCeleb as primary domain and three unseen datasets (DFDC, Deepfake_TIMIT, PolyGlotFake), it improved AUC by 4.09%, 17.94%, and 0.5%, respectively, using only a small portion of target domain data.

Jun 16, 2026 1 source
Noise Amplification Method Detects AI-Generated Videos by Revealing Hidden Artifacts Technology
Artificial Intelligence #ai-generated video detection#noise amplification

Noise Amplification Method Detects AI-Generated Videos by Revealing Hidden Artifacts

Researchers from arXiv introduce Noise Amplification, a novel approach for detecting AI-generated videos by amplifying noise signals from bit-planes. The method significantly outperforms existing detectors on standard benchmarks, addressing the challenge of realistic text-to-video generation.

Jun 16, 2026 1 source
Training-Free Framework Uses XAI and Multimodal LLMs to Generate Grounded Explanations for Speech Deepfake Detection Technology
Artificial Intelligence #deepfake detection#xai

Training-Free Framework Uses XAI and Multimodal LLMs to Generate Grounded Explanations for Speech Deepfake Detection

Researchers propose a training-free explanation framework that integrates XAI evidence with multimodal large language models to generate grounded and specific explanations for speech deepfake detection. Using the PartialSpoof dataset, the method increases inside accuracy by over 45%, verified through human evaluation and faithfulness checks.

Jun 16, 2026 1 source