Scientist/engineer working on computational models for language understanding and reasoning. Assistant professor @MetuCogSci.
Ankara, Turkey
Joined August 2012
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Duygu Ataman retweeted
Why doesn’t OpenAI use an equal amount of the money they spend to prove interesting conjectures in funding PhDs in the mathematical sciences?
That way we will have a next generation of researchers that can understand these results and formulate the next wave of conjectures.
Duygu Ataman retweeted
A good PhD advisor teaches their student to be independent.
Usually by saying, “I don’t know. Figure it out.”
I'm using mostly Linkedin now for sharint professional updates, please feel free to connect with me there if you'd like to stay in touch:
linkedin.com/in/duygu-ataman…
Duygu Ataman retweeted
I'm honored and humbled that Jonne Sälevä, Duygu Ataman (@_dataman_) and I received the best paper award at @aaclmeeting for our work on evaluation in multilingual/multitask benchmarks. I never expected an eval paper could make it this far! More info here: github.com/j0ma/reuben
If you're interested in the Ph.D. Program in Cognitive Science at the School of Informatics, METU the applications are now open to start in Spring 2026. To indicate your interest in working with me you can mention it in your cover letter.
ii.metu.edu.tr/important-dat…
Duygu Ataman retweeted
I am the 129th author🎉🎉🎉
We managed to include Azerbaijani, Kyrgyz, and Turkish examples, thanks to @_dataman_ and her team.
Duygu Ataman retweeted
Excited to announce the call for papers for the Multilingual Representation Learning workshop #EMNLP2025 sigtyp.github.io/ws2025-mrl.…
with @_dataman_ @linguist_cat Jiayi Wang @fdschmidt @tylerachang @hila_gonen
and amazing speakers: Alice Oh, Kelly Marchisio, & Pontus Stenetorp
Excited to hold the first weekly meeting of my research group @MetuCogSci. Today our visiting researcher Kavsar Huseynova shared insights on how neural reasoning pathways can be traced in LLMs.
Duygu Ataman retweeted
*I-Con: A Unifying Framework for Representation Learning*
by @Sa_9810 @mhamilton723 et al.
They show that many losses (contrastive, supervised, clustering, ...) can be derived from a single loss defined in terms of neighbors distributions.
arxiv.org/abs/2504.16929
I still have open full-time or part-time research scholarships for Master's or PhD students who are interested in studying topics around efficient learning and optimization methods for language modeling and applications.
Duygu Ataman retweeted
The submission deadline for the 5th Workshop on Multilingual Representation Learning is coming up! See details below!
Duygu Ataman retweeted
My @NYUDataScience colleague, Carlos Fernandez-Granda, released the 700-page textbook «Probability and Statistics for Data Science», where he condenses 10 years of teaching experience at @NYUniversity.
200 exercises, 102 notebooks, 115 videos! 🥳🥳🥳
ps4ds.net/
Duygu Ataman retweeted
🧵generative models are sweet, but navigating existing repositories can be overwhelming, particularly when starting a new research project
so i built jax-interpolants, a clean & flexible implementation of the stochastic interpolant framework in jax
github.com/nmboffi/jax-inter…
Duygu Ataman retweeted
5 Habits That Are Killing Your Productivity:
1. You don’t wake up early (Marcus Aurelius)
2. You focus on what’s outside your control (Epictetus)
3. You don’t know how to say “no” (Seneca)
4. You’re in the wrong crowd (Marcus Aurelius)
5. You think you’ll live forever (Seneca)
Duygu Ataman retweeted
Nice example of using an RCT to measure real-world impact of LLM tech
