- Marco Turchi, post-doc in machine translation. Now at Zoom Video Communications.
- Nicola Bertoldi, post-doc in machine translation. Now at Translated, Italy.
- Dino Seppi, post-doc in automatic speech recognition. Dino moved to Polderland Language & Speech Technology in Nijmegen (NL), and then to Leuven University, Belgium.
- Gabriele Musillo, post-doc in machine translation, Oct 2009-Aug 2010. Project: EuromatrixPlus. Currently senior researcher for Localot Research, Boston.
- Boxing Chen, post-doc in machine translation, Jan 2005-Mar 2007. Project: TC-STAR. Currently senior researcher at Institute of Infocomm Research, Singapore.
- Deepa Gupta, post-doc in machine translation, Jan 2005-Mar 2007. Project: TC-STAR. Now at IIIT – Indian Institute of Information Technology, Bangalore, India.
- Georg Stemmer, post-doc in automatic speech recognition, Sep 2003-Mar 2005. Post-doc grant from the autonomous Province of Trento. Now with Siemens AG, Munich, Germany.
Our #PickOfTheWeek, selected by @BeatriceSavoldi:
"The AI Observatory: A Public Measure of Real-World AI Use" by @ShayneRedford, @AnkaReuel, @zoeykii et al.
A crucial framework tracking how AI models are deployed, adopted, and evaluated beyond lab benchmarks.
Pick of the week @fbk_mt
📚"The AI Observatory: A Public Measure of Real-World AI Use"
A study and taxonomy to explore real conversations across multiple datasets.
https://www.dataprovenance.org/ai_observatory.pdf
Can algorithmic gender prediction ever be valid?
Check out this week's top pick by @lina_conti: "Algorithmic Gender Prediction Is Illegitimate, But Gender Imputation Can Yield Valid Measurements" by @evandongyx & @ang3linawang.
Pick of the week by @evandongyx & @ang3linawang:
https://arxiv.org/pdf/2608.13444
Predicting gender from images or names can reveal discrimination. But the practice itself harms trans people. This paper works through when that tradeoff might be justified and how to do it responsibly.
Our pick of the week by
@dhairya_su47605
: "Task-Circuit Quantization: Leveraging Knowledge Localization and Interpretability for Compression" by @hanqi_xiao, @yilin_sung, @EliasEskin and @mohitban47
#Quantization #Interpretibility
#PickoftheWeek @fbk_mt
Super cool paper on leavaraging Interpretability for Compression!
https://arxiv.org/pdf/2504.07389
Our pick of the week:
"Large Language Diffusion Model" by Shen Nie, Fengqi Zhu, @ZebinYou, Xiaolu Zhang, Jingyang Ou, Jun Hu, Jun Zhou, Yankai Lin, Ji-Rong Wen, @LiChongxuan
It is very cool to see how the researcher combine diffusion model and transformer blocks to train