A Distributional Study of Negated Adjectives and Antonyms. - Laura Aina; Raffaella Bernardi; Raquel Fernández (CLiC-it, 2018)

How to represent a word and predict it, too: improving tied architectures for language modelling. - Kristina Gulordava; Laura Aina; Gemma Boleda (EMNLP, 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)

Putting Words in Context: LSTM Language Models and Lexical Ambiguity. - Laura Aina; Kristina Gulordava; Gemma Boleda (ACL (1), 2019)

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)

Modeling word interpretation with deep language models: The interaction between expectations and lexical information. - Laura Aina; Thomas Brochhagen; Gemma Boleda (CogSci, 2020)

The Language Model Understood the Prompt was Ambiguous: Probing Syntactic Uncertainty Through Generation. - Laura Aina; Tal Linzen (BlackboxNLP@EMNLP, 2021)

Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution. - Laura Aina; Xixian Liao; Gemma Boleda; Matthijs Westera (CoNLL, 2021)

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

Performance-Efficiency Trade-Offs in Adapting Language Models to Text Classification Tasks. - Laura Aina; Nikos Voskarides; Roi Blanco (AACL/IJCNLP (2), 2022)

Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators. - Matéo Mahaut; Laura Aina; Paula Czarnowska; Momchil Hardalov; Thomas Müller; Lluís Màrquez (ACL (1), 2024)

Understanding and Improving Information Preservation in Prompt Compression for LLMs. - Weronika Lajewska; Momchil Hardalov; Laura Aina; Neha Anna John; Hang Su; Lluís Màrquez (CoRR, 2025)