Scholar
Ionut-Teodor Sorodoc
Google Scholar ID: XwT4ExYAAAAJ
PhD student, Pompeu Fabra University
Citations & Impact
Citations
103
H-index
6
i10-index
3
Publications
20
Co-authors
0
Resume (English only)
Academic Achievements
- Paper 'GaRAGe: A Benchmark with Grounding Annotations for RAG Evaluation' accepted and presented at ACL 2025 in July 2025; paper 'Retrieving contextual information for long-form question answering using weak supervision' accepted and presented at EMNLP 2024 in November 2024; paper 'Probing for referential information in language models' accepted at ACL 2020 in March 2020; paper 'Comparatives, Quantifiers, Proportions...' presented at NAACL-HLT2018 in June 2018.
Research Experience
- Joined Huawei Ireland Research Center as a Principal LLM Researcher in August 2025; served as an applied scientist at Amazon AGI from 2022 to 2025; joined Amazon Alexa as an applied science intern under the supervision of Marco del Tredici in November 2021; worked as a research intern at Facebook Artificial Intelligence Research under the supervision of Tomas Mikolov in June 2018.
Education
- Graduated from the Erasmus Mundus European Masters Program in Language and Communication Technologies (LCT) at CIMeC, University of Trento, and University of Malta in 2017, supervised by Raffaella Bernardi. Completed his doctoral thesis titled 'Learning to identify and encode entities with deep learning models' under the guidance of Gemma Boleda in 2022.
Background
- Currently working as a Principal LLM Researcher at Huawei Ireland Research Center, developing LLM solutions for various AiOps applications. From 2022 to 2025, worked as an applied scientist at Amazon AGI, focusing on the development of RAG capabilities for the Amazon Nova foundation models. Until 2022, was a doctoral student at Pompeu Fabra University, working at the intersection of Computational Linguistics, Computer Vision, and Artificial Intelligence.
Miscellany
- Personal interests not mentioned
Co-authors