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cs.SD2026
SEAR: Spoofing Evidence-Grounded Audio Reasoning Benchmark for Audio Language Models
Rong Wan, Suliu Qin, Jiaxi Li +5
Audio language models (ALMs) are increasingly used for audio deepfake detection (ADD), yet existing benchmarks assess their verdicts or rationale plausibility without verifying the…
cs.SD2026
SE-ADD: Self-Evolving Audio Deepfake Detection with Mistake-Driven Supervision
Rong Wan, Wei Xie, Jiaxi Li +4
Audio deepfake detection (ADD) must remain effective when new spoofing attacks emerge after deployment. Emerging audio language model (ALM)-based ADD methods are built on predefine…