Arvid Frydenlund
@ArvidFrydenlundPh.D. student in Machine Learning at University of Toronto
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'The Mystery of the Pathological Path-star Task for Language Models' was accepted to #EMNLP2024 and is now available on arxiv arxiv.org/abs/2410.13779 An earlier version of this was accepted to RepL4NLP at #acl2024 this year.
There were many supportive responses to this, and also similar tweets from others. I think it is time we make it official and start collecting "signatures". I created this web form. Do fill it if you support a change! And do spread it in other channels forms.gle/NyfuxRhXTxrR4M…
anon period in NLP venues is a bad idea that does a lot of harm and no good whatsoever. let's get rid of it. (if someone can demonstrate a good outcome, and I mean demonstrate, not just hand-wave about equality, I am open to hearing and being convinced otherwise).
Here's a clip of the thundersnow and lightning hitting just as I was doing an interview, being pelleted by the snow. I'm outside in the streets, so y'all don't need to be. #ONStorm
Located in the town of Caviahue, Argentina, Salto del Agrio is a 60 meter high waterfall, which drops to a small green pool surrounded by yellow and red basaltic rocks [read more: buff.ly/3TyAiSg] [📹 buff.ly/3Tm5Kn6]
Next Tuesday & Wednesday we'll be hosting a workshop on Sparsity & Adaptive Computation! More than 30 speakers from Google, other industry labs & many universities will share their views on scaling language & vision models. Keynotes by @JeffDean & Dave Patterson! See agenda below
Why aren't any recent LLMs (OPT, PaLM, etc.) using "efficient" architectures (Reformer, Longformer, etc.)? There's 20+ of them, and they've been around since 2020! Are they actually *not* more efficient?
'Language Modelling via Learning to Rank' will be at the 6th Workshop on Structured Prediction for NLP at #ACL2022 today. @SPOClab
Join us this Thurs Apr 21 @ 2pm EDT for our webinar ft. our CEO @PrivateNLP in conversation w/ @ArvidFrydenlund (PhD candidate in #ML at @UofT + @VectorInst) discussing his paper ‘Language Modeling via Learning to Rank’. RSVP today 👉 bit.ly/3Je46hC
Our paper 'Language Modelling via Learning to Rank' was selected for an oral presentation at #AAAI2022 at 6:30 - 7:45 PM PST (red 4) after the poster session (4:45-6:30). Video at aaai-2022.virtualchair.net/poster_aaai6417 Come listen if you are interested in rank-based knowledge distillation.
Our paper 'Language Modelling via Learning to Rank' was accepted at #AAAI2022 arxiv.org/abs/2110.06961 updated version coming soon.
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