You know what?
I will stop sharing any LLM "news" if they don't share with me first (models or code)
#thereOrIDontCare
#scientivism
#uShareFirst
Thanks delip rao for inspiration
And the new vision and language that did open unlike XXXX-e
https://twitter.com/DrJimFan/status/1633179734803890177?t=VaQS4E56eEq55NHKN3y5hg&s=19
#machinelearning #cv #nlproc #nlp
#thereoridontcare #scientivism #usharefirst #machinelearning #cv #nlproc #nlp
So often we are reminded that good work goes unnoticed
I share others' papers to change that
What else could we do?
What mechanisms better allow propagation by value rather than by fame?
Is there something we can do to make science better?
https://blog.samaltman.com/you-and-your-research
#scientivism #ScienceMastodon #PR #NLProc #machinelearning #CV
#scientivism #ScienceMastodon #PR #nlproc #machinelearning #cv
A surprising take on why we should open LLMs:
otherwise empirical research would suffocate and
rule-based (nativist) would return
Not sure I am buying it or even that it is dreadful, but more the reason to share and hear opinions
https://arxiv.org/abs/2301.05272
Patrick Perrine
#LLM #NLP #nlproc #machinelearning #ML #scientivism
#llm #nlp #nlproc #machinelearning #ml #scientivism
I can't understand how this paper is so overlooked
Human annotation was a dreadful thing to me all my PhD, costly, cumbersome, requires my constant supervision
this is a game changer (and its not even mine...)
But generalized reranking get's double the PR...
#scientivism
We want to pretrain🤞
Instead we finetune🚮😔
Could we collaborate?🤗
ColD Fusion:
🔄Recycle finetuning to multitask
➡️evolve pretrained models forever
On 35 datasets
+2% improvement over RoBERTa
+7% in few shot settings
🧵
#NLProc #MachinLearning #NLP #ML #modelRecyclying #collaborativeAI #scientivism #pretrain
#nlproc #machinlearning #nlp #ml #modelrecyclying #CollaborativeAI #scientivism #pretrain
🔖Reviewing has so many faults📖
Finally, there is a dataset of reviews, edits and everything else!
5 venues 5K papers 11K reviews
Enjoy!
https://arxiv.org/abs/2211.06651
Nils Dycke, Ilia Kuznetsov, Iryna Gurevych
#nlproc #review #cv #machinelearning #scientivism
Are findings as good as ACL?
years since the first findings papers were introduced
since chris manning & ani nenkova called for a yearly analysis
since they were first done
Who's game for the yearly analysis?
https://twitter.com/chrmanning/status/1451261089644089394
For earlier analysis and code (old, not on :mastodondance: , next year links from here?)
https://twitter.com/gneubig/status/1451317437392113665?s=20&t=B0RYiSShHJQPpITBWbKF8g
https://twitter.com/ryandcotterell/status/1451551344012181514?s=20&t=bURi5XYeaZS93-GtCWW23Q
https://twitter.com/wilkeraziz/status/1451896682321485824?s=20&t=bURi5XYeaZS93-GtCWW23Q
https://twitter.com/sanxing_chen/status/1451325907918934019?s=20&t=cQ8RTuwN1plau9mrLtExXw
#NLProc #findings #scientivism #ACL
#nlproc #findings #scientivism #ACL
What do we know about using a fine-tuned model rather than the pretrained
They are sometimes much better, but what else?
A story of great #scientivism hypotheses and their rejections
The story of a field
Survey 🧵
Happy to be a part of this!
---
RT @LChoshen
Data augmentation? Look no further.
Framework of 100+ "transformations" (augmentations\paraphrasing functions\filters)
Many types:emojis, linguistic... see Fig
Extendable!
A vast effort, constructed by almost a hundred authors!
https://arxiv.org/abs/2112.02721
#scientivism
https://twitter.com/LChoshen/status/1468209223427411972