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How to collect evidence for LLM reviewer? [D]

BACKGROUND
1 SIGNALFIRST DETECTED 26 April 2026
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How the story developed
26 Apr
How to collect evidence for LLM reviewer? [D]
OPINION · HOW · MachineLearning
6.1
Other feeds and industry voices
8 Apr
[D] Dealing with an unprofessional reviewer using fake references and personal attacks in ICML26

<!-- SC_OFF --><div class="md"><p>We are currently facing an ICML 2026 reviewer who lowered the score to a 1 (Confidence 5) while ignoring our rebuttal and relying on fake

OPINION · WHO · MachineLearningOPEN STORY
10 Apr
Getting sabotaged by a reviewer at IJCAI [D]

<!-- SC_OFF --><div class="md"><p>Recently got the reviews back from ijcai, now all is good except for this one reviewer who has not read the paper in depth, and is making false

OPINION · WHO · MachineLearningOPEN STORY
13 Apr
[ICML 2026] Extending the deadline for reviewer final justifications while not extending for Author-AC comments was a huge mistake [D]

<!-- SC_OFF --><div class="md"><p>Just as the title says, I believe the decision to extend the deadline for reviewers to post their final justifications while not allowing authors

OPINION · WHO · MachineLearningOPEN STORY
14 Aug
For the people who got reviews back from neurips, cvpr, eccv, etc and also tested their paper through an agentic reviewer like the stanford one, how different were the reviews? [D]

<!-- SC_OFF --><div class="md"><p>Hello,</p> <p>I was curious about the differences you can get from the human reviewers and the llms.</p> <p>Any insight is welcome, thank

OPINION · WHO · MachineLearningOPEN STORY
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