Open yanzhangnlp opened 5 months ago
From the paper and code provided by the author above, the approaches of these two projects are indeed very similar.
The content of this project and this paper seems to be very similar. The paper is well developed and worthy of citation.
Hi, Andrew and all collaborators on this project! It's great to see the implementation of such a fantastic concept bringing Agent into the Machine Translation field. In February, we also released an LLM-based Self-Refinement framework that aligns closely with your translation-agent project. We believe it may complement your work. For those interested, you can access our paper here: https://arxiv.org/abs/2402.16379 and the source code here: https://github.com/fzp0424/self_correct_mt.
Andrew, i have a research paper on document similarity -- was wondering what you'd think about it.
it's cryptocurrency document similarity--been working on it for 1+ year.
On Mon, Jun 24, 2024 at 10:02 PM fzppp @.***> wrote:
Hi, Andrew and all collaborators on this project! It's great to see the implementation of such a fantastic concept bringing Agent into the Machine Translation field. In February, we also released an LLM-based Self-Refinement framework that aligns closely with your translation-agent project. We believe it may complement your work. For those interested, you can access our paper here: https://arxiv.org/abs/2402.16379 and the source code here: https://github.com/fzp0424/self_correct_mt.
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@andrewyng @j-dominguez9 @methanet @johnsanterre I hope you find our work of interest. Thank you.
Hello Andrew, thank you for your excellent contributions to the translation agent! I am reaching out to highlight our recent work, "TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement", which was released this February. Our research utilizes a self-refinement strategy along with a state-of-the-art GPT evaluation method to enhance translation agents, which may complement your work. For those interested, you can access our paper here: https://arxiv.org/abs/2402.16379 and the source code here: https://github.com/fzp0424/self_correct_mt.