PaperJury CS Paper Reviewer & Editor
Performs adversarial reviews and targeted LaTeX editing for computer science conference submissions across Vision, NLP, and ML venues.
PaperJury is an adversarial pre-submission review and LaTeX editing toolkit tailored for CS conference manuscripts targeting top-tier venues like CVPR, ACL, NeurIPS, and ICLR. It provides three operational modes: direct editing for localized polishing, translation, and de-AI passes; a multi-perspective courtroom review engine that deploys isolated domain reviewers, contestability routing, and jury-based adjudication; and an unattended auto mode for goal-driven revision loops with durable ledger tracking and strict author sign-off.
主要功能
01Courtroom-style adjudication system with isolated reviewer fan-out and defense trials for major issues
02Multi-agent adversarial review engine simulating realistic top-tier CS conference peer reviews
03Preconfigured style profiles for major CS venue families including CVPR, ACL, ICLR, NeurIPS, and ICML
04Durable ledger state tracking to manage issue lifecycles and prevent content drift across revision rounds
05Direct LaTeX editing toolkit for text polishing, de-AI rephrasing, compression, and note-to-LaTeX drafting
06216 GitHub stars
使用场景
01Pre-submission mock peer reviews to surface critical technical weaknesses before conference submission deadlines
02Translating rough notes and polishing LaTeX prose for abstracts, introductions, captions, and experiment sections
03Automated goal-driven manuscript hardening and iterative issue resolution with strict author sign-off