Anna Rogers @ ICML Profile picture
Associate professor @ITUkbh: LLM interpretability, generalization, AI & society. Co-editor-in-chief @ACLRollingReview. Blog: https://t.co/ij5T9dS8W6

Nov 10, 2021, 10 tweets

A few highlights from @nlpnoah's talk at insights-workshop.github.io:

@nlpnoah: NLP research and practice ask fundamentally different questions
/1

@nlpnoah: NLP practice asks whether X improves the outcome. NLP research tries to fill in the gaps in the knowledge map.
/2

@nlpnoah: Leaderboards are the dominant frame for presenting research findings. That frame by its very nature puts the winner at the top, and un-focuses all of this:
/3

@nlpnoah: let's admit to ourselves that "sota" is a verb. and it should be lowercased.
/4

@nlpnoah: depressingly many parallels between leaderboard-driven research and competitive sports
/5

@nlpnoah The very notion of "negative results" presupposes that very same sports-like frame! Useful as the leaderboards are, they are not the only thing we need.
(with follow-up comment from Margot Mieskes: the Insights workshop should be renamed!)
/6

@nlpnoah: here's some alternative frames that might be useful in NLP research.
/7

@nlpnoah: a bonus from focusing on gaining knowledge and not on sota-ing is improved mental health. If you're trying to answer a question, whatever answer you get is a result.
/8

Question: in an exploding field the simple leaderboard frame is partly a coping mechanism for the authors to try to reach a broader audience.
@nlpnoah: NLP community is not all that homogeneous. Let's be brave, non-mainstream papers may find a wider audience than we think.
/9

Question: one reason for leaderboards is to enable people to easily compare with prior work. How about we just publish multiple metrics, for maximal reach to future work?
@nlpnoah: Might work. We could also release raw system outputs.
/10

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