Worth repeating. If the only positive things you can say about a researcher is that they have many papers or citations, then either:
a) you don't know their work very well
b) they haven't done much interesting work
I always push for justification of quality beyond metrics.
@thegautamkamath
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Beyond Metrics: Evaluating Research Quality in AI
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Elon’s Twitter overhaul shows change despite ongoing chaos
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Elon Twitter feels like a constant dumpster fire, but it's undeniable that *something* is happening. The old Twitter felt stagnant and like nothing got done (…except NFT profile pics). Remember when they said academics would get verification "later in 2021"?
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ICML2023 LLM Detection Policy False Positives Analysis
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Bringing it back to our community, I wonder how many false positives (and false negatives!) there will be for #ICML2023's ban on LLM-generated text
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AI Art Ban Mistakenly Deletes Human-Made Artwork on Reddit
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The r/Art subreddit recently banned AI-generated art. Ben Moran (
@benmoran_artist
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Security Paper Review Process Demands Increased Burden Reviewers
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Besides the fact Im getting older, some reasons last year was more tiring:
– security papers are long! 13 two-column pages (vs 8 in ML)
– also, their revision process requires more commitment from reviewers
– more generally, labour expected from reviewers per paper is on the rise -
LLM Plagiarism: Transparency and Ethical Decision-Making
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My issue is lack of transparency. If this interpretation is right, it wouldn't be hard to add a line like: "Whether LLMs plagiarize is an emerging topic of discussion, we deliberated and chose to be conservative, we look forward to how things unfold, etc."
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Do Large Language Models Constitute Plagiarism?
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I think it is super debatable whether large language models (and more generally, powerful ML models) count as plagiarism. This seems like a big question that we will have to grapple with as a community and society.
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Major ML Conferences Need More Transparency in Policy Changes
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I feel like, in the last couple of years, NeurIPS/ICML/ICLR have made a number of changes, often drastic. Change can be good. But I wish these changes were made with a bit more transparency, rationale, and potentially input from the community.
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Submissions vs Papers: Research Collaboration and Student Impact
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To be clear, 14 submissions neq 14 papers, since some are resubmissions. I of course can't know absolutely everything about every paper, e.g., I don't read every line of code. It's hard to say whether great students or collaborators are more important, I'm blessed w both.
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Paper Review Practices at Major AI Conferences
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Yes, that is probably true. I put out my numbers publicly to give at least n = 1 data point. I would be curious to know how many papers are reviewed by those who submit 30+ papers to a single conference. Though maybe their large group would make up any deficit.