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Sandro Pezzelle

5 papers hereh-index 9434 citations26 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CV1
same name
  • Sandro Pezzelle — 6 papers, h 4
  • Sandro Pezzelle — 3 papers, h 9
  • Sandro Pezzelle — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026★ 1 cited

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

Anna Bavaresco, Marianne de Heer Kloots, Sandro Pezzelle +1

Recent studies suggest that transformer-based vision-language models (VLMs) capture the multimodality of concept processing in the human brain. However, a systematic evaluation exp…

cs.CL2025

Natural Language Generation from Visual Events: State-of-the-Art and Key Open Questions

Aditya K Surikuchi, Raquel Fernández, Sandro Pezzelle

In recent years, a substantial body of work in visually grounded natural language processing has focused on real-life multimodal scenarios such as describing content depicted in im…

cs.CL2025

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

Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi +17

There is an increasing trend towards evaluating NLP models with LLMs instead of human judgments, raising questions about the validity of these evaluations, as well as their reprodu…

cs.CL2024

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

Aditya K Surikuchi, Raquel Fernández, Sandro Pezzelle

Visual storytelling consists in generating a natural language story given a temporally ordered sequence of images. This task is not only challenging for models, but also very diffi…

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