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Andrei Kopanev

2 accepted papers

2025

BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning

NeurIPS 2025spotlight

Foundation models trained at scale exhibit remarkable emergent behaviors, learning new capabilities beyond their initial training objectives. We find such emergent behaviors in biological vision models via large-scale contrastive vision-language training. To achieve this, we first curate TreeOfLife-…

Cited by 0SourcecodeScholar
2025

Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge

NeurIPS 2025poster

Agentic search such as Deep Research systems-where agents autonomously browse the web, synthesize information, and return comprehensive citation-backed answers-represents a major shift in how users interact with web-scale information. While promising greater efficiency and cognitive offloading, the…

Cited by 0SourceScholar