Sandro Pezzelle

35 papers · 2016–2026 · 6 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (49) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (6) 🏃 Academic Marathon (9) 🌟 Keyword Trendsetter Combo (4) 👥 Mega-Team (20) 🤝 Dynamic Duo (16) 🔬 Deep Specialist (12) 🧬 Topic Evolution 🏆 Keyword Champion (2) 🗃️ Keyword Collector (163) ⚡ Prolific Year (5) 🔥 Unstoppable (10) 💎 Century Club (33) ❓ The Questioner (4)

Conferences

ACL (12) EMNLP (12) EACL (5) NAACL (3) IJCNLP (2) COLING (1)

Top co-authors

Raquel Fernández (17) Raffaella Bernardi (8) Ece Takmaz (6) Alberto Testoni (4) Michael Hanna (3) Aditya K Surikuchi (3) Desmond Elliott (3) Mario Giulianelli (3) Moin Nabi (2) Anna Bavaresco (2)

Keywords

multimodal learning (13) visual grounding (5) large language model (5) image captioning (4) relational reasoning (4) human evaluation (2) visual scene understanding (2) dialogue system (2) lexical semantics (2) cross-modal representation (2) pre-trained language model (2) multimodal model (2) cognitive modeling (2) cross-modal alignment (2) semantic analysis (2) visual storytelling (2) referring expression (2) visual reasoning (2) visual context (2) vision-language model (2)

Papers

Beyond Divergent Creativity: A Human-Based Evaluation of Creativity in Large Language Models EACL 2026

Vision-Language Models Align with Human Neural Representations in Concept Processing EACL 2026

They want to pretend not to understand: The Limits of Current LLMs in Interpreting Implicit Content of Political Discourse ACL 2025

If I feel smart, I will do the right thing: Combining Complementary Multimodal Information in Visual Language Models COLING 2025

From Tools to Teammates: Evaluating LLMs in Multi-Session Coding Interactions ACL 2025

LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks ACL 2025

Detecting and Translating Language Ambiguity with Multilingual LLMs EMNLP 2024

Naming, Describing, and Quantifying Visual Objects in Humans and LLMs ACL 2024

Do Pre-Trained Language Models Detect and Understand Semantic Underspecification? Ask the DUST! ACL 2024

Describing Images Fast and Slow: Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes EACL 2024

Not (yet) the whole story: Evaluating Visual Storytelling Requires More than Measuring Coherence, Grounding, and Repetition EMNLP 2024

The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models EMNLP 2023

Dealing with Semantic Underspecification in Multimodal NLP ACL 2023

Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind ACL 2023

A Psycholinguistic Analysis of BERT’s Representations of Compounds EACL 2023

GROOViST: A Metric for Grounding Objects in Visual Storytelling EMNLP 2023

When Language Models Fall in Love: Animacy Processing in Transformer Language Models EMNLP 2023

Less Descriptive yet Discriminative: Quantifying the Properties of Multimodal Referring Utterances via CLIP ACL 2022

Controllable Text Generation for All Ages: Evaluating a Plug-and-Play Approach to Age-Adapted Dialogue EMNLP 2022

Probing Cross-Modal Representations in Multi-Step Relational Reasoning IJCNLP 2021

Probing Cross-Modal Representations in Multi-Step Relational Reasoning ACL 2021

EaSe: A Diagnostic Tool for VQA based on Answer Diversity NAACL 2021

Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human Gaze EMNLP 2020

Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts EMNLP 2020

Be Different to Be Better! A Benchmark to Leverage the Complementarity of Language and Vision EMNLP 2020

Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN) EMNLP 2019

Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts EMNLP 2019

Big Generalizations with Small Data: Exploring the Role of Training Samples in Learning Adjectives of Size EMNLP 2019

Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts IJCNLP 2019

Quantifiers in a Multimodal World: Hallucinating Vision with Language and Sound NAACL 2019

Comparatives, Quantifiers, Proportions: a Multi-Task Model for the Learning of Quantities from Vision NAACL 2018

Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers ACL 2018

FOIL it! Find One mismatch between Image and Language caption ACL 2017

Be Precise or Fuzzy: Learning the Meaning of Cardinals and Quantifiers from Vision EACL 2017

The LAMBADA dataset: Word prediction requiring a broad discourse context ACL 2016