ReToken adds one learned embedding to improve long-context visual retrieval
burkov · x · 2026-08-04
Researchers from the University of Illinois, Microsoft Research, and Google DeepMind introduce ReToken, a lightweight single learnable embedding for vision-language models.
- It helps models retrieve query-relevant visual tokens from long contexts more effectively.
- The method delivers substantial gains on image and video benchmarks.
- It stays computationally efficient, so the improvement is not just bought with extra compute.
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