The LAMBADA dataset: Word prediction requiring a broad discourse context. - Denis Paperno; Germán Kruszewski; Angeliki Lazaridou; Quan Ngoc Pham; Raffaella Bernardi; Sandro Pezzelle; Marco Baroni; Gemma Boleda; Raquel Fernández (ACL (1), 2016)

Building a Bagpipe with a Bag and a Pipe: Exploring Conceptual Combination in Vision. - Sandro Pezzelle; Ravi Shekhar; Raffaella Bernardi (VL@ACL, 2016)

"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)

FOIL it! Find One mismatch between Image and Language caption. - Ravi Shekhar; Sandro Pezzelle; Yauhen Klimovich; Aurélie Herbelot; Moin Nabi; Enver Sangineto; Raffaella Bernardi (ACL (1), 2017)

Be Precise or Fuzzy: Learning the Meaning of Cardinals and Quantifiers from Vision. - Sandro Pezzelle; Marco Marelli; Raffaella Bernardi (EACL (2), 2017)

Vision and Language Integration: Moving beyond Objects. - Ravi Shekhar; Sandro Pezzelle; Aurélie Herbelot; Moin Nabi; Enver Sangineto; Raffaella Bernardi (IWCS(2), 2017)

Can You See the (Linguistic) Difference? Exploring Mass/Count Distinction in Vision. - David Addison Smith; Sandro Pezzelle; Francesca Franzon; Chiara Zanini; Raffaella Bernardi (IWCS(2), 2017)

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

Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers. - Sandro Pezzelle; Shane Steinert-Threlkeld; Raffaella Bernardi; Jakub Szymanik (ACL (2), 2018)

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

The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA. - Shailza Jolly; Sandro Pezzelle; Tassilo Klein; Andreas Dengel 001; Moin Nabi (CoRR, 2018)

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

Learning the Meaning of Quantifiers from Language and Vision. - Sandro Pezzelle (2018)

Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts. - Sandro Pezzelle; Raquel Fernández (EMNLP/IJCNLP (1), 2019)

Big Generalizations with Small Data: Exploring the Role of Training Samples in Learning Adjectives of Size. - Sandro Pezzelle; Raquel Fernández (LANTERN@EMNLP-IJCNLP, 2019)

Grounded and Ungrounded Referring Expressions in Human Dialogues: Language Mirrors Different Grounding Conditions. - Eleonora Gualdoni; Raffaella Bernardi; Raquel Fernández; Sandro Pezzelle (CLiC-it, 2020)

Asking questions with a big impact: Adapting to other interpretations of gradable adjectives. - Sandro Pezzelle; Raquel Fernández (CogSci, 2020)

Be Different to Be Better! A Benchmark to Leverage the Complementarity of Language and Vision. - Sandro Pezzelle; Claudio Greco 002; Greta Gandolfi; Eleonora Gualdoni; Raffaella Bernardi (EMNLP (Findings), 2020)

Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts. - Ece Takmaz; Mario Giulianelli; Sandro Pezzelle; Arabella Sinclair; Raquel Fernández (EMNLP (1), 2020)

Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human Gaze. - Ece Takmaz; Sandro Pezzelle; Lisa Beinborn; Raquel Fernández (EMNLP (1), 2020)

Detecting Age-Related Linguistic Patterns in Dialogue: Toward Adaptive Conversational Systems. - Lennert Jansen; Arabella Sinclair; Margot J. van der Goot; Raquel Fernández; Sandro Pezzelle (CLiC-it, 2021)

EaSe: A Diagnostic Tool for VQA based on Answer Diversity. - Shailza Jolly; Sandro Pezzelle; Moin Nabi (NAACL-HLT, 2021)

Probing Cross-Modal Representations in Multi-Step Relational Reasoning. - Iuliia Parfenova; Desmond Elliott; Raquel Fernández; Sandro Pezzelle (RepL4NLP@ACL-IJCNLP, 2021)

Linguistic issues behind visual question answering. - Raffaella Bernardi; Sandro Pezzelle (Lang. Linguistics Compass, 2021)

Word Representation Learning in Multimodal Pre-Trained Transformers: An Intrinsic Evaluation. - Sandro Pezzelle; Ece Takmaz; Raquel Fernández (Trans. Assoc. Comput. Linguistics, 2021)

Time Alignment between Gaze and Speech in Image Descriptions: Exploring Theories of Linearization. - Ece Takmaz; Sandro Pezzelle; Raquel Fernández (CogSci, 2022)

Dealing with Semantic Underspecification in Multimodal NLP. - Sandro Pezzelle (ACL (1), 2023)

Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind. - Ece Takmaz; Nicolo' Brandizzi; Mario Giulianelli; Sandro Pezzelle; Raquel Fernández (ACL (Findings), 2023)

A Psycholinguistic Analysis of BERT's Representations of Compounds. - Lars Buijtelaar; Sandro Pezzelle (EACL, 2023)

When Language Models Fall in Love: Animacy Processing in Transformer Language Models. - Michael Hanna 001; Yonatan Belinkov; Sandro Pezzelle (EMNLP, 2023)

The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models. - Xinyi Chen; Raquel Fernández; Sandro Pezzelle (EMNLP, 2023)

GROOViST: A Metric for Grounding Objects in Visual Storytelling. - Aditya K. Surikuchi; Sandro Pezzelle; Raquel Fernández (EMNLP, 2023)

Fixing confirmation bias in feature attribution methods via semantic match. - Giovanni Cinà; Daniel Fernandez-Llaneza; Nishant Mishra; Tabea E. Röber; Sandro Pezzelle; Iacer Calixto; Rob Goedhart; S. Ilker Birbil (CoRR, 2023)

Semantic Adaptation to the Interpretation of Gradable Adjectives via Active Linguistic Interaction. - Sandro Pezzelle; Raquel Fernández (Cogn. Sci., 2023)

Naming, Describing, and Quantifying Visual Objects in Humans and LLMs. - Alberto Testoni; Juell Sprott; Sandro Pezzelle (ACL (Short Papers), 2024)

Do Pre-Trained Language Models Detect and Understand Semantic Underspecification? Ask the DUST! - Frank Wildenburg; Michael Hanna 001; Sandro Pezzelle (ACL (Findings), 2024)

Describing Images Fast and Slow: Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes. - Ece Takmaz; Sandro Pezzelle; Raquel Fernández (EACL (1), 2024)

Not (yet) the whole story: Evaluating Visual Storytelling Requires More than Measuring Coherence, Grounding, and Repetition. - Aditya Kaushik Surikuchi; Raquel Fernández; Sandro Pezzelle (EMNLP (Findings), 2024)

Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms. - Michael Hanna 001; Sandro Pezzelle; Yonatan Belinkov (CoRR, 2024)

LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks. - Anna Bavaresco; Raffaella Bernardi; Leonardo Bertolazzi; Desmond Elliott; Raquel Fernández; Albert Gatt; Esam Ghaleb; Mario Giulianelli; Michael Hanna 001; Alexander Koller; André F. T. Martins; Philipp Mondorf; et al. (CoRR, 2024)

Modelling Multimodal Integration in Human Concept Processing with Vision-and-Language Models. - Anna Bavaresco; Marianne de Heer Kloots; Sandro Pezzelle; Raquel Fernández (CoRR, 2024)

They want to pretend not to understand: The Limits of Current LLMs in Interpreting Implicit Content of Political Discourse. - Walter Paci; Alessandro Panunzi; Sandro Pezzelle (ACL (Findings), 2025)

From Tools to Teammates: Evaluating LLMs in Multi-Session Coding Interactions. - Nathanaël Carraz Rakotonirina; Mohammed Hamdy; Jon Ander Campos; Lucas Weber; Alberto Testoni; Marzieh Fadaee; Sandro Pezzelle; Marco Del Tredici (ACL (1), 2025)

If I feel smart, I will do the right thing: Combining Complementary Multimodal Information in Visual Language Models. - Yuyu Bai; Sandro Pezzelle (COLING Workshops, 2025)

On the Challenges in Evaluating Visually Grounded Stories. - Aditya K. Surikuchi; Raquel Fernández; Sandro Pezzelle (Text2Story@ECIR, 2025)

Natural Language Generation from Visual Sequences: Challenges and Future Directions. - Aditya K. Surikuchi; Raquel Fernández; Sandro Pezzelle (CoRR, 2025)

Are formal and functional linguistic mechanisms dissociated in language models? - Michael Hanna 001; Yonatan Belinkov; Sandro Pezzelle (CoRR, 2025)

Movie Facts and Fibs (MF2): A Benchmark for Long Movie Understanding. - Emmanouil Zaranis; António Farinhas; Saul José Rodrigues dos Santos; Beatriz Canaverde; Miguel Moura Ramos; Aditya K. Surikuchi; André Viveiros; Baohao Liao; Elena Belén Bueno-Benito; Nithin Sivakumaran; Pavlo Vasylenko; Shoubin Yu; et al. (CoRR, 2025)