AI RESEARCH
RealBirdID: Benchmarking Bird Species Identification in the Era of MLLMs
arXiv CS.CV
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ArXi:2603.27033v1 Announce Type: new Fine-grained bird species identification in the wild is frequently unanswerable from a single image: key cues may be non-visual (e.g. vocalization), or obscured due to occlusion, camera angle, or low resolution. Yet today's multimodal systems are typically judged on answerable, in-schema cases, encouraging confident guesses rather than principled abstention.