Huge thanks to my co-authors, mentors, and collaborators who made this work possible. I’m incredibly proud of what we’ve built and grateful to share it with the NLP community.
I’m thrilled to share that our paper — Can LLMs Be Efficient Predictors of Conversational Derailment? — has been officially published in EMNLP 2025 Findings.
Read it here: https://t.co/26TyJpAxdb
We explore whether LLMs can forecast conversational derailment—spotting when a dialogue might go off-topic or toxic before it happens. Even without fine-tuning, LLMs act as lightweight, proactive moderators balancing efficiency and accuracy.
@eaclmeeting Could you please remind the reviewers to take part in the discussion period? It’s one day remaining and I have not heard back anything on my rebuttal.
@eaclmeeting Decisions for #emnlp2023 are out in the first week of October. Can we upload the paper on arxiv after that and before submission deadline?
@gimyong30482200 2 reviewers have not yet commented anything. One commented the same as yours with literally no change in review or scores. I don’t understand if it was changed or anything.
@mrdrozdov Reviewer 1: Reason to Reject: The motivation for the work are week.
Reviewer 2: Reason to Accept: The paper gives straightforward motivation for work.
😑 #emnlp2023
@TuhinChakr For me, the reviewer is insistent on testing on a particular dataset and citing papers related to that which is on a very special domain even though I have proven my hypothesis on widely used nlp benchmarks. This is not the way to promote your datasets.
@PrakamyaMishra@emnlpmeeting The email I got for emergency review clearly stated "Assignments have been made and emergency reviews are due August 11 EOD anywhere on earth."