Towards End-to-End In-Image Neural Machine Translation — mentioned by gwern

Wed, 08 Mar 2023 16:52:19 GMT

> LLMs do not do this, and if you're training the LLMs (at cost) to do this, you're already having to do the very same searching out of materials within the corpus related to what you want. A more reasonable suggestion would be not training a LLM (which one doesn't want to do anyway) but treating it as a retrieval+summarization task: search the corpus for mentions and similar-by-embedding documents, and summarize. LLMs are good at abstractive summarization with minimal hallucination or error. This can serve as an 'annotated bibliography', a first pass for a human writing it themselves, or the…

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Towards End-to-End In-Image Neural Machine Translation · HackerPapers discussions

Towards End-to-End In-Image Neural Machine Translation — mentioned by gwern