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Knowledge retrieval and reasoning are the main bottlenecks in KI-VQA, but a new diagnostic benchmark reveals deeper issues in visual grounding and object identification.
Forget contrastive learning: LLM2Vec-Gen learns text embeddings by representing the *response* an LLM would generate, unlocking safety and reasoning abilities for embedding tasks.
