5 citations · 17 across the 23 of their papers we have counts for
10 papers · 1 filter
Repairs in a Block World: A New Benchmark for Handling User Corrections with Multi-Modal Language Models
Javier Chiyah-Garcia, Alessandro Suglia, Arash Eshghi
In dialogue, the addressee may initially misunderstand the speaker and respond erroneously, often prompting the speaker to correct the misunderstanding in the next turn with a Thir…
CROPE: Evaluating In-Context Adaptation of Vision and Language Models to Culture-Specific Concepts
Malvina Nikandrou, Georgios Pantazopoulos, Nikolas Vitsakis +2
As Vision and Language models (VLMs) are reaching users across the globe, assessing their cultural understanding has become a critical challenge. In this paper, we introduce CROPE,…
Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language Modeling
Georgios Pantazopoulos, Malvina Nikandrou, Alessandro Suglia +2
This study explores replacing Transformers in Visual Language Models (VLMs) with Mamba, a recent structured state space model (SSM) that demonstrates promising performance in seque…
Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks
Amit Parekh, Nikolas Vitsakis, Alessandro Suglia +1
Evaluating the generalisation capabilities of multimodal models based solely on their performance on out-of-distribution data fails to capture their true robustness. This work intr…
Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature Distillation
Malvina Nikandrou, Georgios Pantazopoulos, Ioannis Konstas +1
Continual learning focuses on incrementally training a model on a sequence of tasks with the aim of learning new tasks while minimizing performance drop on previous tasks. Existing…
AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding
Alessandro Suglia, Claudio Greco, Katie Baker +5
AI personal assistants deployed via robots or wearables require embodied understanding to collaborate with humans effectively. However, current Vision-Language Models (VLMs) primar…
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…
Learning To See But Forgetting To Follow: Visual Instruction Tuning Makes LLMs More Prone To Jailbreak Attacks
Georgios Pantazopoulos, Amit Parekh, Malvina Nikandrou +1
Augmenting Large Language Models (LLMs) with image-understanding capabilities has resulted in a boom of high-performing Vision-Language models (VLMs). While studying the alignment…
Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language Resamplers
Georgios Pantazopoulos, Alessandro Suglia, Oliver Lemon +1
An effective method for combining frozen large language models (LLM) and visual encoders involves a resampler module that creates a `visual prompt' which is provided to the LLM, al…
PIXAR: Auto-Regressive Language Modeling in Pixel Space
Yintao Tai, Xiyang Liao, Alessandro Suglia +1
Recent work showed the possibility of building open-vocabulary large language models (LLMs) that directly operate on pixel representations. These models are implemented as autoenco…