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FakeWorld 1.0: An Omni-modal Benchmark for Fake Media and Content
可解释性 | 6.1/10
Icml-2026
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FoeGlass: Simple In-Context Learning Is Enough for Red Teaming Audio Deepfake Detectors
语音伪造检测 | 6.8/10
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From Inpainting to Editing: Unlocking Robust Mask-Free Visual Dubbing via Generative Bootstrapping
扩散模型 | 7.6/10
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From Talking to Singing: A New Challenge for Audio-Visual Deepfake Detection
音视频理解 | 6.9/10
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FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs
音视频问答 | 8/10
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Group Cognition Learning: Making Everything Better Through Controlled Two-Stage Agents Collaboration
音视频理解 | 7.3/10
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Hearing Without Noticing? Attention-Aware Stealthy Black-Box Adversarial Audio Attacks
语音识别 | 7.6/10
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Hidden in Plain Tokens: Simply Robust, Gradient-Free Watermark for Synthetic Audio
音频水印 | 7/10
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HyperPotter: Spell the Charm of High-Order Interactions in Audio Deepfake Detection
音频伪造检测 | 7.9/10
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INFER: Learning Implicit Neural Frequency Response Fields for Confined Acoustic Environments
空间音频 | 6.4/10
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IVQ: Structured and Lightweight Vector Quantization via Binary Hierarchical Composition Inspired by \(\textit{IChing}\)
音频编码 | 8.2/10
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JAEGER: Joint 3D Audio-Visual Grounding and Reasoning in Simulated Physical Environments
声源定位 | 8.1/10
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Joint Enhancement and Classification using Coupled Diffusion Models of Signals and Logits
语音识别 | 9.3/10
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LALM-as-a-Judge: Benchmarking Large Audio-Language Models for Safety Evaluation in Multi-Turn Spoken Dialogues
语音交互 | 8.1/10
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Language Model Augmented Semi-Supervised Statistical Inference
语音属性识别 | 5.4/10
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Learning Tight Rejection Boundaries without Negatives for Strict One-Class Audio Deepfake Detection
语音伪造检测 | 9.3/10
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LightAVSeg: Lightweight Audio-Visual Segmentation
模型压缩 | 6.3/10
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Listening Through the Noise: Cauchy-Driven Diffusion Bridges for Robust Gastrointestinal Auscultation and Clinical Benchmarking
音频修复 | 7.4/10
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MECAT: A Multi-Experts Constructed Benchmark for Fine-Grained Audio Understanding Tasks
音频理解 | 9.1/10
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MedMosaic: A Challenging Large Scale Benchmark of Diverse Medical Audio
音频理解 | 6.4/10