1 min readfrom Machine Learning

Independent researcher looking for technical feedback on a paper about a revision-capable language model [P]

Hi everyone! I am an independent researcher working on Reviser, a language model that generates through cursor-relative edit actions on a mutable canvas. It is autoregressive over edit-history actions rather than final text order, which lets it revise its response while keeping decoding efficiency close to standard autoregressive transformers.

My goal is to submit the paper to a conference such as ACL, EMNLP, ICML, or a similar venue, and I would really appreciate technical feedback on things like:

- Boldness/strength of the claims

- Weaknesses

- Quality of the results, or if I should include other results

Paper: https://github.com/Sean-Diab/Reviser/blob/main/main.pdf

I would really value any feedback on what I should improve before submitting.

I am also looking for an arXiv endorsement for cs.CL. If anyone here is eligible and feels comfortable helping, my endorsement link is: https://arxiv.org/auth/endorse?x=ISRSI8

Thank you very much.

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