Alibaba-NLP CORE: boosting compositional reasoning in MLLM embeddings via reranker distillation
Alibaba-NLP · hf · 2026-09-04
Alibaba-NLP introduces CORE, an approach to improve compositional reasoning in MLLM embeddings.
- Method: distills compositional ranking judgments from a cross-attentive reranker into an embedding model
- Training uses synthesized multi-level candidates and a Rank-KL objective
- Result: improves compositional retrieval without degrading standard retrieval performance
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