La reciente explosión de la IA llegando al mainstream está haciendo que más y más periodistas, divulgadores, tertulianos, se lancen a hablar de ella. El problema es que en muchos casos se está tratando mal, desde el desconocimiento, con poco rigor y desinformando. Mal, vamos.
RESEARCH
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Unintentional timing: missing major NLP conference deadlines
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Wasn't super intentional, i guess none of my work lined up with the ACL/EMNLP deadlines
Someone told me not to submit to NAACL lol -
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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Trustworthy AI Workshop Registration Deadline January 2023
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Today is the last day to enrol for the Workshop on Trustworthy AI co-organised by @MSFTResearch and @Penn at Microsoft Research, Bengaluru on 5-6 January 2023. Register at https://
trust-ai-workshop.github.io @AI4Code @SriramRajamani @RajeevAlur @TheSaddlePoint Amit Deshpande Amit Sharma -
LLM Hallucinations Reveal Alien Causal Mechanisms of AI Cognition
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Like how the brain was understood by its clinical failures, in LLM hallucinations we see bare the true causal mechanisms that lead to its answers. What we mistook for human-like cognition is revealed as something more alien:
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Evolution of LLM Hallucinations and AI Promise
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I began studying LLMs to understand the content of their hallucinations. Even in text‑davinci‑002, confabulation was oxygen. 003 has less. ChatGPT less still. Every year, we need squint less to see promise.
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Artificial Intelligence Enters New Era of Vision and Language
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‘Learning to see and learning to read’: #ArtificialIntelligence enters a new era https://
princeton.edu/news/2023/01/0
3/learning-see-and-learning-read-artificial-intelligence-enters-new-era
… @Princeton #AI #MachineLearning #DataScience #IoT #100DaysofCode #womenwhocode #serverless @enilev @FmFrancoise @Shi4Tech @anijov #NLP #BigData #Analytics #DeepLearning -
Theorem Prover as Dynamical System: Axioms to Deductive Closure
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A theorem prover is a dynamical system. Its initial state is the axioms, and its final one is their deductive closure.
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ACL Conference Decline in Influential NLP Papers 2022
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Can't help but notice that approximately 0 of this list of 20+ influential papers was submitted to *ACL/EMNLP in 2022. What happened? Back in the late 2010's, *ACL had some of the best work (BERT, etc)