1 min readfrom Machine Learning

How strongly do you believe LLM judges on the for the ML papers?? [D]

Our take

The role of large language model (LLM) judges in evaluating machine learning papers is a topic worth exploring. Many critiques focus on specific aspects, such as "missing ablations," which can sometimes overshadow more substantial feedback. It's essential to differentiate between nitpicking and constructive commentary that genuinely enhances the quality of research. Understanding how LLMs assess these submissions could provide valuable insights into the evaluation process, ultimately shaping the future of machine learning discourse and fostering a more productive environment for innovation and discovery.

I'm curious about your thoughts on these,

as far as I've seen most of the comments are nitpicking about "missing ablations" while some comments seem to be relevant.

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