Sandro Pezzelle

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 57

Top Topics

Referring Expressions

Image Description

Grounded Semantics

Top Venues

Publications

Ece Takmaz, Sandro Pezzelle, Raquel Fernández
Describing Images Fast and Slow: Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes. CoRR (2024)
Alberto Testoni, Juell Sprott, Sandro Pezzelle
Naming, Describing, and Quantifying Visual Objects in Humans and LLMs. CoRR (2024)
Ece Takmaz, Sandro Pezzelle, Raquel Fernández
Describing Images Fast and Slow: Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes. EACL (1) (2024)
Anna Bavaresco, Marianne de Heer Kloots, Sandro Pezzelle, Raquel Fernández
Modelling Multimodal Integration in Human Concept Processing with Vision-and-Language Models. CoRR (2024)
Michael Hanna, Sandro Pezzelle, Yonatan Belinkov
Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms. CoRR (2024)
Frank Wildenburg, Michael Hanna, Sandro Pezzelle
Do Pre-Trained Language Models Detect and Understand Semantic Underspecification? Ask the DUST! ACL (Findings) (2024)
Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, Desmond Elliott, Raquel Fernández, Albert Gatt, Esam Ghaleb, Mario Giulianelli, Michael Hanna, Alexander Koller, André F. T. Martins, Philipp Mondorf, Vera Neplenbroek, Sandro Pezzelle, Barbara Plank, David Schlangen, Alessandro Suglia, Aditya K. Surikuchi, Ece Takmaz, Alberto Testoni
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks. CoRR (2024)
Aditya K. Surikuchi, Raquel Fernández, Sandro Pezzelle
Not (yet) the whole story: Evaluating Visual Storytelling Requires More than Measuring Coherence, Grounding, and Repetition. CoRR (2024)
Frank Wildenburg, Michael Hanna, Sandro Pezzelle
Do Pre-Trained Language Models Detect and Understand Semantic Underspecification? Ask the DUST! CoRR (2024)
Aditya K. Surikuchi, Sandro Pezzelle, Raquel Fernández
GROOViST: A Metric for Grounding Objects in Visual Storytelling. CoRR (2023)
Ece Takmaz, Nicolo' Brandizzi, Mario Giulianelli, Sandro Pezzelle, Raquel Fernández
Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind. ACL (Findings) (2023)
Ece Takmaz, Nicolo' Brandizzi, Mario Giulianelli, Sandro Pezzelle, Raquel Fernández
Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind. CoRR (2023)
Sandro Pezzelle
Dealing with Semantic Underspecification in Multimodal NLP. ACL (1) (2023)
Sandro Pezzelle
Dealing with Semantic Underspecification in Multimodal NLP. CoRR (2023)
Sandro Pezzelle, Raquel Fernández
Semantic Adaptation to the Interpretation of Gradable Adjectives via Active Linguistic Interaction. Cogn. Sci. 47 (2) (2023)
Lars Buijtelaar, Sandro Pezzelle
A Psycholinguistic Analysis of BERT's Representations of Compounds. EACL (2023)
Lars Buijtelaar, Sandro Pezzelle
A Psycholinguistic Analysis of BERT's Representations of Compounds. CoRR (2023)
Xinyi Chen, Raquel Fernández, Sandro Pezzelle
The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models. EMNLP (2023)
Michael Hanna, Yonatan Belinkov, Sandro Pezzelle
When Language Models Fall in Love: Animacy Processing in Transformer Language Models. EMNLP (2023)
Giovanni Cinà, Daniel Fernandez-Llaneza, Nishant Mishra, Tabea E. Röber, Sandro Pezzelle, Iacer Calixto, Rob Goedhart, S. Ilker Birbil
Fixing confirmation bias in feature attribution methods via semantic match. CoRR (2023)
Xinyi Chen, Raquel Fernández, Sandro Pezzelle
The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models. CoRR (2023)
Michael Hanna, Yonatan Belinkov, Sandro Pezzelle
When Language Models Fall in Love: Animacy Processing in Transformer Language Models. CoRR (2023)
Aditya K. Surikuchi, Sandro Pezzelle, Raquel Fernández
GROOViST: A Metric for Grounding Objects in Visual Storytelling. EMNLP (2023)
Ece Takmaz, Sandro Pezzelle, Raquel Fernández
Time Alignment between Gaze and Speech in Image Descriptions: Exploring Theories of Linearization. CogSci (2022)
Sandro Pezzelle, Ece Takmaz, Raquel Fernández
Word Representation Learning in Multimodal Pre-Trained Transformers: An Intrinsic Evaluation. Trans. Assoc. Comput. Linguistics 9 (2021)
Raffaella Bernardi, Sandro Pezzelle
Linguistic issues behind visual question answering. Lang. Linguistics Compass 15 (6) (2021)
Iuliia Parfenova, Desmond Elliott, Raquel Fernández, Sandro Pezzelle
Probing Cross-Modal Representations in Multi-Step Relational Reasoning. RepL4NLP@ACL-IJCNLP (2021)
Lennert Jansen, Arabella Sinclair, Margot J. van der Goot, Raquel Fernández, Sandro Pezzelle
Detecting Age-Related Linguistic Patterns in Dialogue: Toward Adaptive Conversational Systems. CLiC-it (2021)
Shailza Jolly, Sandro Pezzelle, Moin Nabi
EaSe: A Diagnostic Tool for VQA based on Answer Diversity. NAACL-HLT (2021)
Ece Takmaz, Mario Giulianelli, Sandro Pezzelle, Arabella Sinclair, Raquel Fernández
Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts. CoRR (2020)
Sandro Pezzelle, Claudio Greco, Greta Gandolfi, Eleonora Gualdoni, Raffaella Bernardi
Be Different to Be Better! A Benchmark to Leverage the Complementarity of Language and Vision. EMNLP (Findings) (2020)
Sandro Pezzelle, Raquel Fernández
Asking questions with a big impact: Adapting to other interpretations of gradable adjectives. CogSci (2020)
Eleonora Gualdoni, Raffaella Bernardi, Raquel Fernández, Sandro Pezzelle
Grounded and Ungrounded Referring Expressions in Human Dialogues: Language Mirrors Different Grounding Conditions. CLiC-it (2020)
Ece Takmaz, Mario Giulianelli, Sandro Pezzelle, Arabella Sinclair, Raquel Fernández
Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts. EMNLP (1) (2020)
Ece Takmaz, Sandro Pezzelle, Lisa Beinborn, Raquel Fernández
Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human Gaze. CoRR (2020)
Ece Takmaz, Sandro Pezzelle, Lisa Beinborn, Raquel Fernández
Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human Gaze. EMNLP (1) (2020)
Sandro Pezzelle, Raquel Fernández
Big Generalizations with Small Data: Exploring the Role of Training Samples in Learning Adjectives of Size. LANTERN@EMNLP-IJCNLP (2019)
Sandro Pezzelle, Raquel Fernández
Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts. CoRR (2019)
Sandro Pezzelle, Raquel Fernández
Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts. EMNLP/IJCNLP (1) (2019)
Ionut Sorodoc, Sandro Pezzelle, Aurélie Herbelot, Mariella Dimiccoli
Learning quantification from images: A structured neural architecture. Nat. Lang. Eng. 24 (3) (2018)
Sandro Pezzelle, Shane Steinert-Threlkeld, Raffaella Bernardi, Jakub Szymanik
Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers. ACL (2) (2018)
Shailza Jolly, Sandro Pezzelle, Tassilo Klein, Andreas Dengel, Moin Nabi
The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA. CoRR (2018)
Sandro Pezzelle, Shane Steinert-Threlkeld, Raffaella Bernardi, Jakub Szymanik
Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers. CoRR (2018)
Sandro Pezzelle, Ionut-Teodor Sorodoc, Raffaella Bernardi
Comparatives, Quantifiers, Proportions: a Multi-Task Model for the Learning of Quantities from Vision. NAACL-HLT (2018)
Sandro Pezzelle, Ionut-Teodor Sorodoc, Raffaella Bernardi
Comparatives, Quantifiers, Proportions: A Multi-Task Model for the Learning of Quantities from Vision. CoRR (2018)
Ravi Shekhar, Sandro Pezzelle, Yauhen Klimovich, Aurélie Herbelot, Moin Nabi, Enver Sangineto, Raffaella Bernardi
FOIL it! Find One mismatch between Image and Language caption. ACL (1) (2017)
David Addison Smith, Sandro Pezzelle, Francesca Franzon, Chiara Zanini, Raffaella Bernardi
Can You See the (Linguistic) Difference? Exploring Mass/Count Distinction in Vision. IWCS(2) (2017)
Ravi Shekhar, Sandro Pezzelle, Aurélie Herbelot, Moin Nabi, Enver Sangineto, Raffaella Bernardi
Vision and Language Integration: Moving beyond Objects. IWCS(2) (2017)
Ionut Sorodoc, Sandro Pezzelle, Aurélie Herbelot, Mariella Dimiccoli, Raffaella Bernardi
Pay Attention to Those Sets! Learning Quantification from Images. CoRR (2017)
Sandro Pezzelle, Marco Marelli, Raffaella Bernardi
Be Precise or Fuzzy: Learning the Meaning of Cardinals and Quantifiers from Vision. CoRR (2017)
Sandro Pezzelle, Marco Marelli, Raffaella Bernardi
Be Precise or Fuzzy: Learning the Meaning of Cardinals and Quantifiers from Vision. EACL (2) (2017)
Ravi Shekhar, Sandro Pezzelle, Yauhen Klimovich, Aurélie Herbelot, Moin Nabi, Enver Sangineto, Raffaella Bernardi
FOIL it! Find One mismatch between Image and Language caption. CoRR (2017)
Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, Quan Ngoc Pham, Raffaella Bernardi, Sandro Pezzelle, Marco Baroni, Gemma Boleda, Raquel Fernández
The LAMBADA dataset: Word prediction requiring a broad discourse context. CoRR (2016)
Sandro Pezzelle, Ravi Shekhar, Raffaella Bernardi
Building a Bagpipe with a Bag and a Pipe: Exploring Conceptual Combination in Vision. VL@ACL (2016)
Ionut Sorodoc, Angeliki Lazaridou, Gemma Boleda, Aurélie Herbelot, Sandro Pezzelle, Raffaella Bernardi
"Look, some Green Circles!": Learning to Quantify from Images. VL@ACL (2016)
Sandro Pezzelle, Ionut Sorodoc, Aurélie Herbelot, Raffaella Bernardi
Imparare a Quantificare Guardando (Learning to Quantify by Watching). CLiC-it/EVALITA (2016)
Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, Quan Ngoc Pham, Raffaella Bernardi, Sandro Pezzelle, Marco Baroni, Gemma Boleda, Raquel Fernández
The LAMBADA dataset: Word prediction requiring a broad discourse context. ACL (1) (2016)