Ionut-Teodor Sorodoc
About me
I am currently working as a Principal LLM Researcher in Huawei Ireland Research Center, developing LLM solutions for different AiOps applications.
From 2022 until 2025, I was an applied scientist in Amazon AGI, working on the development of RAG capabilities for the Amazon Nova foundation models.
Until 2022, I was a doctoral student in the The AMORE project, Pompeu Fabra University, working at the intersection between Computational Linguistics, Computer Vision and Artificial Intelligence.
In 2017, I graduated from the Erasmus Mundus European Masters Program in Language and Communication Technologies (LCT), at CIMeC, University of Trento and University of Malta, under the supervision of Raffaella Bernardi.
News
- August 2025: I joined Huawei Ireland Research Center as a Principal LLM Researcher.
- July 205: Our paper GaRAGe: A Benchmark with Grounding Annotations for RAG Evaluation was accepted and presented at ACL 2025.
- November 2024: Our paper Retrieving contextual information for long-form question answering using weak supervision was accepted and presented at EMNLP 2024.
- July 2022: I joined Amazon as an applied scientist.
- April 2022: I defended my Doctoral thesis: Learning to identify and encode entities with deep learning models!
- November 2021: I joined Amazon Alexa as an applied science intern under the supervision of Marco del Tredici.
- April 2021: We organized the EACL SRW Workshop.
- May 2020: We organized the GeCKo symposium
- April 2020: I am a member of the student board of EACL
- March 2020: Our paper Probing for referential information in language models has been accepted at ACL 2020 in Seattle!
- February 2019: We organized the COLT kick-off workshop
- December 2018: I presented a poster at Deep Learning Barcelona Symposium
- June 2018: I joined Facebook Artificial Intelligence Research as a research intern under the supervision of Tomas Mikolov
- June 2018: Our paper Comparatives, Quantifiers, Proportions ... has been presented at NAACL-HLT2018 in New Orleans!
- October 2017: I joined Gemma Boleda's group at COLT as a PhD student!
- December 2016: I defended my Masters thesis: Learning to quantify from images!