Computational Language Understanding Lab at University of Arizona

Tucson, AZ
Joined January 2016
We (w/ @msurd) will be presenting our Spotlight paper at #ICLR2024 in Vienna next week. Drop by for some amazing intellectual exchanges on data contamination. Paper: arxiv.org/abs/2308.08493 Code: github.com/shahriargolchin/t… Media: thenewstack.io/how-to-detect…
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🔗 Preprint: arxiv.org/abs/2404.07544 LLMs like GPT-4 or Claude 3 can perform both linear and non-linear regression surprisingly well when given (input, output) examples in their context, without any parameter update. (1/n)
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The #nlproc group at University of Arizona has grown too big, and my account doesn't do it justice. Please follow @LabCLU for updates about our group!
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A short paper that shows that neural networks can learn argumentation theory semantics well: clulab.org/papers/icaart2024…
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Our explanation centered analysis of QA inference reqs for science exams accepted @ #coling2016. Kudos Peter Jansen,@msurd,&Peter Clark.
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This was a great talk by @scheidegger on the #dlearn viz papers: github.com/clulab/nlp-readin…
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the #NLProc reading group at @UofA has a 30+ audience this semester.
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Candidate papers for our reading group: github.com/clulab/nlp-readin…
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#NLProc forensics: I reconstructed the CoNLL-2008 shared task website, which silently died sometime ago: surdeanu.info/conll08/
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I've never found simple instructions on how to publish to Maven Central, so our lab wrote them: github.com/clulab/processors…
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