Giannis Karamanolakis
173 posts

Giannis Karamanolakis
@gkaraml
Senior Applied Scientist @Amazon AGI. Previously @MSFTResearch, @Columbia, @behaviorsignals.
New York, NY Katılım Ekim 2013
974 Takip Edilen319 Takipçiler

Excited to share our Amazon Nova Foundation Models! Proud to be part of the team bringing Nova models to our customers and excited for what lies ahead.
aws.amazon.com/ai/generative-…
#amazon #nova #llm
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Late Update: I have defended my PhD Dissertation and have joined @Google Brain. Super-excited to continue working on large language models.

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Yesterday I passed my viva with no corrections! 🎉
Thanks to my committee @MohitIyyer and N. Siddharth for insightful discussions and my supervisors @mlapata @frank_e_keller!
Next up: I am beyond excited to start as Research Scientist @DeepMind at the end of this month! 🥳
Tom Sherborne@tomsherborne
.@pinelopip3 is doing her viva talk! @EdinburghNLP 💫
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Many congratulations to @gkaraml for successfully defending his PhD. Giannis has been a great friend for all these years at @columbianlp . Here is a picture I took of him from EMNLP 2019 in Hong kong #NLProc

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@TuhinChakr @columbianlp Thanks so much my friend @TuhinChakr!! Hope we have the chance to travel in many more places together!
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Life update: Thrilled to announce that I will join Johns Hopkins University @jhuclsp @jhucompsci @JohnsHopkins as an assistant professor of computer science in the fall! This is an honor of a lifetime and I will do my best to rise to the occasion.
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Check out Natural Instructions v2, a benchmark with 1600+ #NLProc tasks and their natural language instructions. Excited to be part of this effort!
Yizhong Wang@yizhongwyz
Is it possible to solve NLP tasks by simply following instructions that define the tasks? How can we measure the progress? Excited to announce Natural Instructions v2, a collection of 1600+ diverse language tasks and their expert-written instructions! 📜arxiv.org/abs/2204.07705
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Our WALNUT benchmark for semi-weakly supervised learning is coming out very soon! #NAACL2022 #NLProc
Kai Shu@KaiShu0327
Our paper entitled "WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding" got accepted in #NAACL2022. Joint with @zzzzgq @gkaraml and @AhmedHAwadallah, from Microsoft Research and Columbia. Stay tuned!
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I will be an assistant professor @UChicago starting this Fall in @DSI_UChicago & Statistics. It is a dream come true.
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Giannis Karamanolakis retweetledi

Are you #PhDone (or close)? Would you like to live in the Washington, DC area and be part of the *exciting* @GMUCompSci dept, working on Machine Translation and #nlproc for low-resource languages? I'm looking for a postdoc (ideally starting in 2022) -- do reach out if interested!
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I recently did a Q&A with @ColumbiaCompSci talking about my research experience and projects in #ML and #NLP: cs.columbia.edu/2021/voices-of…
Extra: you will also find a photo advertisement of my hometown in Greece :-)


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Giannis Karamanolakis retweetledi

ASTRA: Self-training with Weak Supervision by @gkaraml,@subho_mpi et al.
Combines rules, unlabeled data and limited labeled with self-supervision. Great results for text classification.
👩💻 github.com/microsoft/ASTRA
📝aclanthology.org/2021.naacl-mai…
#python #nlproc #naacl21 #DataScience


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Our weak supervision method, ASTRA, leverages domain-specific rules, unlabeled data, and few labeled data through self-training.
If you are attending #NAACL2021 today, join our paper's presentation and Q&A at Session 3B. Happy to chat :)
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Excited to share our #NAACL2021 paper (w. @subho_mpi, Guoqing Zheng, and @AhmedHAwadallah at Microsoft Research) on "Self-training with Weak Supervision".
paper: aclweb.org/anthology/2021…
code: github.com/microsoft/ASTRA
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Giannis Karamanolakis retweetledi

highlight of my @EarthInstitute post doc has been working with @Columbia students- celebrating meeting each other IRL for the first time yesterday after a hard virtual year! Congrats to Tejit/ Johanna/Dorothee on graduating @ColumbiaCompSci thanks for helping me start my lab!

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