Our pick of the week by @apierg: "Glitter: A Multi-Sentence, Multi-Reference #Benchmark for #Gender-Fair German Machine Translation" by A Pranav, Janiça Hackenbuchner, @peppeatta, @manuellardelli, @anne_lauscher (Findings #EMNLP2025)
#MT #Translation
Impressive work by the Glitter team: a new human-made benchmark for German gender-inclusive MT with long passages and multiple inclusive approaches + experiments showing that MT systems and LLMs still fall short in generating inclusive outputs.
https://aclanthology.org/2025.findings-emnlp.1002/ ✨
@fbk_mt
Our pick of the week by @dhairya_su47605: "How Does #Quantization Affect #Multilingual #LLMs?" by @cheeesio, @TheyCallMeMr_, Hongyu Chen, @d_aumiller, @ahmetustun89, @sarahookr, @seb_ruder (Findings EMNLP, 2024)
Pick of the week @fbk_mt: How Does Quantization Affect Multilingual LLMs?
Quantization has become a widely adopted technique for model compression. This work investigates the impact of quantization on different languages in multilingual LLMs.
https://aclanthology.org/2024.findings-emnlp.935.pdf
🗣️ Calling all researchers & practitioners in #Speech #Translation!
Help shape the future of the #Simultaneous track at @iwslt 2026. Your input matters!
Please spare 3-5 min to fill out this quick survey📋:
➡️
🚀 JOB ALERT 3: The FBK's MT Unit is hiring!
Join us as a Researcher in Responsible & Trustworthy NLP and advance ethical, fair, and transparent language technologies. If you care about building safe and accountable AI systems, you can apply here:
👉 https://jobs.fbk.eu/Annunci/Offerte_di_lavoro_A_Researcher_in_Responsible_and_Trustworthy_NLP_241757983.htm