PulseAugur
EN
LIVE 05:06:04

PhD student seeks advice on ACL ARR paper withdrawal

A first-year PhD student is seeking advice on whether to withdraw their paper from the ACL ARR review cycle due to mediocre scores. The student received scores of 2.5/3, 3/4, and 2.5/4 for their interpretability track paper, which they believe may not be sufficient for acceptance. They are considering revising the paper and submitting it to the BlackboxNLP workshop instead. AI

RANK_REASON User is asking for advice on a personal academic publishing decision, not reporting on a new event or finding.

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

PhD student seeks advice on ACL ARR paper withdrawal

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
User is asking for advice on a personal academic publishing decision, not reporting on a new event or finding.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
45 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/H4RZ3RK4S3 ·

    Withdraw from ACL ARR and resubmit to a workshop? [D]

    <!-- SC_OFF --><div class="md"><p>Hey guys,</p> <p>I received mediocre scores for my EMNLP paper during the May ACL ARR cycle: 2.5/3, 3/4, 2.5/4. The paper is in the Interpretability track. The reviewers had no larger issue with the methodology or the paper in general, but it see…