translorentz/vision-token-compression-bench

OPTIC-Bench Optical Text In-Context Benchmark: how reliably do LLMs consume text delivered as rendered images versus plain text tokens? In summary, the evaluation reported here finds that optical text compression is effective only within a narrow and specific envelope. Delivering content as rendered images genuinely reduces input tokens, by thirteen to fifty-four per cent depending on the model and the language, but only when the document is long, the rendering is dense and the… See the full description on the dataset page: https://huggingface.co/datasets/translorentz/vision-token-compression-

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