It's time to desk reject papers that don't include code that can reproduce the r

<!-- SC_OFF --><div class="md"><p>I am now reviewing a bunch of papers for AAAI 2027 and it has surprised me the low amount of submissions with no code implementation. I don’t

<!-- SC_OFF --><div class="md"><p>Asking primarily due to the NIPS deadline. I have always submitted code with my submissions to all conferences before. However, with how good new

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1sj76a2/just_did_an_analysis_on_iclr_2025_vs_2026_scores/"> <img alt="Just did an analysis on ICLR 2025

<!-- SC_OFF --><div class="md"><p>hey all. the NeurIPS Position Paper Track just used a proprietary AI detector (Pangram) to desk-reject 18.4% of all submissions. no human review,

<!-- SC_OFF --><div class="md"><p>I am curious what everyone will be doing. I myself am torn, on the one hand I understand it boosts a paper’s credibility but on the other hand I

<!-- SC_OFF --><div class="md"><p>My paper cited and even built up on a niche topic that was accepted in 2024. The template and everything was also followed properly. Sure, it

<!-- SC_OFF --><div class="md"><p>I have tried to reproduce paper claims that are feasible for me to check. This year, out of 7 checked claims, 4 were irreproducible, with 2

<!-- SC_OFF --><div class="md"><p>We submitted our first paper to ARR, intending to commit to IJCNLP-AACL. Area: Multilingualism and Cross-Lingual NLP</p> <p>Scores: (3,4) (2.5,3)