Sandro Pezzelle
33 papers · 2016–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (44) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🔬
Deep Specialist
(14)
👥
Mega-Team · Squad
🤝
Dynamic Duo
(15)
🌟
Keyword Trendsetter Combo
(3)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
🧭
Keyword Pioneer
❓
The Questioner
(3)
💎
Century Club · Bronze
🗃️
Keyword Collector
(158)
⚡
Prolific Year · Productive
🔥
Unstoppable · Silver
Top co-authors
Research topics
Artificial Intelligence
(19)
Core AI · Artificial Intelligence
(19)
Natural Language Processing
(15)
Computer Vision
(13)
Machine Learning
(11)
Interdisciplinary
(6)
Applications
(6)
Core AI · Computer Vision
(6)
Resources & Methods
(6)
Deep Learning
(5)
Analysis
(5)
Core Methods
(5)
Generation · Natural Language Processing
(5)
Generation · Computer Vision
(5)
Cognitive Science
(4)
Keywords
multimodal learning
(12)
large language model
(5)
visual grounding
(4)
image captioning
(4)
pre-trained language model
(3)
vision-language model
(3)
semantic understanding
(2)
dialogue system
(2)
visual scene
(2)
lexical semantics
(2)
visual scene understanding
(2)
human evaluation
(2)
cognitive modeling
(2)
cross-modal alignment
(2)
semantic analysis
(2)
visual storytelling
(2)
referring expression
(2)
visual reasoning
(2)
relational reasoning
(2)
multimodal 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
From Tools to Teammates: Evaluating LLMs in Multi-Session Coding Interactions
ACL 2025
If I feel smart, I will do the right thing: Combining Complementary Multimodal Information in Visual Language Models
COLING 2025
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks
ACL 2025
They want to pretend not to understand: The Limits of Current LLMs in Interpreting Implicit Content of Political Discourse
ACL 2025
Describing Images Fast and Slow: Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes
EACL 2024
Detecting and Translating Language Ambiguity with Multilingual LLMs
EMNLP 2024
Do Pre-Trained Language Models Detect and Understand Semantic Underspecification? Ask the DUST!
ACL 2024
Naming, Describing, and Quantifying Visual Objects in Humans and LLMs
ACL 2024
Not (yet) the whole story: Evaluating Visual Storytelling Requires More than Measuring Coherence, Grounding, and Repetition
EMNLP 2024
A Psycholinguistic Analysis of BERT’s Representations of Compounds
EACL 2023
Dealing with Semantic Underspecification in Multimodal NLP
ACL 2023
GROOViST: A Metric for Grounding Objects in Visual Storytelling
EMNLP 2023
Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind
ACL 2023
The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models
EMNLP 2023
When Language Models Fall in Love: Animacy Processing in Transformer Language Models
EMNLP 2023
Controllable Text Generation for All Ages: Evaluating a Plug-and-Play Approach to Age-Adapted Dialogue
EMNLP 2022
Less Descriptive yet Discriminative: Quantifying the Properties of Multimodal Referring Utterances via CLIP
ACL 2022
EaSe: A Diagnostic Tool for VQA based on Answer Diversity
NAACL 2021
Probing Cross-Modal Representations in Multi-Step Relational Reasoning
ACL 2021
Be Different to Be Better! A Benchmark to Leverage the Complementarity of Language and Vision
EMNLP 2020
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
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
EMNLP 2019
Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN)
EMNLP 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
Be Precise or Fuzzy: Learning the Meaning of Cardinals and Quantifiers from Vision
EACL 2017
FOIL it! Find One mismatch between Image and Language caption
ACL 2017
The LAMBADA dataset: Word prediction requiring a broad discourse context
ACL 2016