Multimodal models stop guessing at fine-grained recognition: tighter candidate lists plus contrastive hints lift 13 benchmarks by about 15 points
Multimodal large language models associate visual cues with category concepts too weakly during fine-grained recognition; LIVE tightens the candidate category list and adds category contrast hints at inference time, raising Qwen2.5-VL-7B average accuracy by 14.96 points across 13 benchmarks.