Aggregation methods for efficient collocation detection. - Anca Dinu; Liviu P. Dinu; Ionut Sorodoc (LREC, 2014)

"Look, some Green Circles!": Learning to Quantify from Images. - Ionut Sorodoc; Angeliki Lazaridou; Gemma Boleda; Aurélie Herbelot; Sandro Pezzelle; Raffaella Bernardi (VL@ACL, 2016)

Imparare a Quantificare Guardando (Learning to Quantify by Watching). - Sandro Pezzelle; Ionut Sorodoc; Aurélie Herbelot; Raffaella Bernardi (CLiC-it/EVALITA, 2016)

Multimodal Topic Labelling. - Ionut Sorodoc; Jey Han Lau; Nikolaos Aletras; Timothy Baldwin (EACL (2), 2017)

Pay Attention to Those Sets! Learning Quantification from Images. - Ionut Sorodoc; Sandro Pezzelle; Aurélie Herbelot; Mariella Dimiccoli; Raffaella Bernardi (CoRR, 2017)

Comparatives, Quantifiers, Proportions: a Multi-Task Model for the Learning of Quantities from Vision. - Sandro Pezzelle; Ionut-Teodor Sorodoc; Raffaella Bernardi (NAACL-HLT, 2018)

AMORE-UPF at SemEval-2018 Task 4: BiLSTM with Entity Library. - Laura Aina; Carina Silberer; Ionut-Teodor Sorodoc; Matthijs Westera; Gemma Boleda (SemEval@NAACL-HLT, 2018)

Learning quantification from images: A structured neural architecture. - Ionut Sorodoc; Sandro Pezzelle; Aurélie Herbelot; Mariella Dimiccoli (Nat. Lang. Eng., 2018)

What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue. - Laura Aina; Carina Silberer; Ionut-Teodor Sorodoc; Matthijs Westera; Gemma Boleda (NAACL-HLT (1), 2019)

Recurrent Instance Segmentation using Sequences of Referring Expressions. - Alba Maria Hererra-Palacio; Carles Ventura; Carina Silberer; Ionut-Teodor Sorodoc; Gemma Boleda; Xavier Giró-i-Nieto (ViGIL@NeurIPS, 2019)

Recurrent Instance Segmentation using Sequences of Referring Expressions. - Alba Herrera-Palacio; Carles Ventura; Carina Silberer; Ionut-Teodor Sorodoc; Gemma Boleda; Xavier Giró-i-Nieto (CoRR, 2019)

Probing for Referential Information in Language Models. - Ionut-Teodor Sorodoc; Kristina Gulordava; Gemma Boleda (ACL, 2020)

Class-Agnostic Continual Learning of Alternating Languages and Domains. - Germán Kruszewski; Ionut-Teodor Sorodoc; Tomás Mikolov (CoRR, 2020)

Controlled tasks for model analysis: Retrieving discrete information from sequences. - Ionut-Teodor Sorodoc; Gemma Boleda; Marco Baroni (BlackboxNLP@EMNLP, 2021)

Challenges in including extra-linguistic context in pre-trained language models. - Ionut Sorodoc; Laura Aina; Gemma Boleda (Insights@ACL, 2022)

Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision. - Philipp Christmann; Svitlana Vakulenko; Ionut Sorodoc; Bill Byrne; Adrià de Gispert (EMNLP (Findings), 2024)

GaRAGe: A Benchmark with Grounding Annotations for RAG Evaluation. - Ionut-Teodor Sorodoc; Leonardo F. R. Ribeiro; Rexhina Blloshmi; Christopher Davis; Adrià de Gispert (ACL (Findings), 2025)