Giannis Karamanolakis

Senior Applied Scientist @Amazon AGI. Previously @MSFTResearch, @Columbia, @behaviorsignals.

[Giannis Karamanolakis @gkaraml]

@filippos_kok Thanks Filippe!

[Giannis Karamanolakis @gkaraml]

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.

https://t.co/ojhGx0fuyK

#amazon #nova #llm

[Giannis Karamanolakis @gkaraml]

@Swarooprm7 @Google Congrats Swaroop!!!

[Giannis Karamanolakis @gkaraml]

@pinelopip3 @MohitIyyer @mlapata @frank_e_keller @DeepMind Congrats Nelly!!!

[Giannis Karamanolakis @gkaraml]

@MApidianaki @TuhinChakr @columbianlp Thank you Marianna!!

[Giannis Karamanolakis @gkaraml]

@awasthi_a_ @TuhinChakr @columbianlp Thanks so much Abhijeet!!

[Giannis Karamanolakis @gkaraml]

@TuhinChakr @columbianlp Thanks so much my friend @TuhinChakr!! Hope we have the chance to travel in many more places together!

[Giannis Karamanolakis @gkaraml]

@maria_antoniak Congratulations!!!

[Giannis Karamanolakis @gkaraml]

@DanielKhashabi @jhuclsp @JHUCompSci @JohnsHopkins Congratulations Daniel!!!

[Giannis Karamanolakis @gkaraml]

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!

📜https://t.co/DBsz7KSBXt

[Giannis Karamanolakis @gkaraml]

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!

[Giannis Karamanolakis @gkaraml]

@AaronSchein @UChicago @DSI_UChicago Congrats Aaron!!!

[Antonis Anastasopoulos @anas_ant]

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!

[Giannis Karamanolakis @gkaraml]

@ibalazevic @_rockt @InfAtEd @DeepMind Congrats Ivana!!!

[Giannis Karamanolakis @gkaraml]

I recently did a Q&A with @ColumbiaCompSci talking about my research experience and projects in #ML and #NLP: https://t.co/qCnaL3OeFi

Extra: you will also find a photo advertisement of my hometown in Greece :-)

[Daniel Vila Suero @dvilasuero]

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.

👩‍💻 https://t.co/NL4nKjTufC
📝https://t.co/q05DZd8avE

#python #nlproc #naacl21 #DataScience

[Giannis Karamanolakis @gkaraml]

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 :)

[Giannis Karamanolakis @gkaraml]

Excited to share our #NAACL2021 paper (w. @subho_mpi, Guoqing Zheng, and @AhmedHAwadallah at Microsoft Research) on "Self-training with Weak Supervision".

paper: https://t.co/arEdSqbEaj
code: https://t.co/i8VHjlf0Jo

[Beth Tellman, Phd @pazjusticiavida]

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!