Alessandro Suglia

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 40

Top Topics

Hierarchical Reinforcement Learning

Language Learning

Recommender Systems

Question Answering

Top Venues

Publications

Yintao Tai, Xiyang Liao, Alessandro Suglia, Antonio Vergari
PIXAR: Auto-Regressive Language Modeling in Pixel Space. ACL (Findings) (2024)
Daniel Hernández García, Marta Romeo, Christian Dondrup, Nancie Gunson, Angus Addlesee, Weronika Sieinska, Oliver Lemon, Alessandro Suglia, Matthew Peter Aylett
Human - Large Language Model Interaction: The dawn of a new era or the end of it all? HRI (Companion) (2024)
Malvina Nikandrou, Georgios Pantazopoulos, Ioannis Konstas, Alessandro Suglia
Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature Distillation. CoRR (2024)
Georgios Pantazopoulos, Amit Parekh, Malvina Nikandrou, Alessandro Suglia
Learning To See But Forgetting To Follow: Visual Instruction Tuning Makes LLMs More Prone To Jailbreak Attacks. CoRR (2024)
Alessandro Suglia, Claudio Greco, Katie Baker, Jose L. Part, Ioannis Papaioannou, Arash Eshghi, Ioannis Konstas, Oliver Lemon
AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding. CoRR (2024)
Alessandro Suglia, Ioannis Konstas, Oliver Lemon
Visually Grounded Language Learning: A Review of Language Games, Datasets, Tasks, and Models. J. Artif. Intell. Res. 79 (2024)
Amit Parekh, Nikolas Vitsakis, Alessandro Suglia, Ioannis Konstas
Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks. CoRR (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)
Yintao Tai, Xiyang Liao, Alessandro Suglia, Antonio Vergari
PIXAR: Auto-Regressive Language Modeling in Pixel Space. CoRR (2024)
Georgios Pantazopoulos, Alessandro Suglia, Oliver Lemon, Arash Eshghi
Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language Resamplers. CoRR (2024)
Alessandro Suglia, Ioannis Konstas, Oliver Lemon
Visually Grounded Language Learning: a review of language games, datasets, tasks, and models. CoRR (2023)
Marco Grazioso, Alessandro Suglia
An Analysis of Visually Grounded Instructions in Embodied AI Tasks. CLiC-it (2023)
Georgios Pantazopoulos, Malvina Nikandrou, Amit Parekh, Bhathiya Hemanthage, Arash Eshghi, Ioannis Konstas, Verena Rieser, Oliver Lemon, Alessandro Suglia
Multitask Multimodal Prompted Training for Interactive Embodied Task Completion. CoRR (2023)
Francisco Javier Chiyah Garcia, Alessandro Suglia, Arash Eshghi, Helen Hastie
'What are you referring to?' Evaluating the Ability of Multi-Modal Dialogue Models to Process Clarificational Exchanges. CoRR (2023)
Francisco Javier Chiyah Garcia, Alessandro Suglia, Arash Eshghi, Helen Hastie
'What are you referring to?' Evaluating the Ability of Multi-Modal Dialogue Models to Process Clarificational Exchanges. SIGDIAL (2023)
Georgios Pantazopoulos, Malvina Nikandrou, Amit Parekh, Bhathiya Hemanthage, Arash Eshghi, Ioannis Konstas, Verena Rieser, Oliver Lemon, Alessandro Suglia
Multitask Multimodal Prompted Training for Interactive Embodied Task Completion. EMNLP (2023)
Sabrina McCallum, Max Taylor-Davies, Stefano V. Albrecht, Alessandro Suglia
Is Feedback All You Need? Leveraging Natural Language Feedback in Goal-Conditioned Reinforcement Learning. CoRR (2023)
Francisco Javier Chiyah Garcia, Alessandro Suglia, José Lopes, Arash Eshghi, Helen F. Hastie
Exploring Multi-Modal Representations for Ambiguity Detection & Coreference Resolution in the SIMMC 2.0 Challenge. CoRR (2022)
Alessandro Suglia, Bhathiya Hemanthage, Malvina Nikandrou, George Pantazopoulos, Amit Parekh, Arash Eshghi, Claudio Greco, Ioannis Konstas, Oliver Lemon, Verena Rieser
Demonstrating EMMA: Embodied MultiModal Agent for Language-guided Action Execution in 3D Simulated Environments. SIGDIAL (2022)
Michael Hanna, Federico Pedeni, Alessandro Suglia, Alberto Testoni, Raffaella Bernardi
ACT-Thor: A Controlled Benchmark for Embodied Action Understanding in Simulated Environments. COLING (2022)
Mavina Nikandrou, Lu Yu, Alessandro Suglia, Ioannis Konstas, Verena Rieser
Task Formulation Matters When Learning Continually: A Case Study in Visual Question Answering. CoRR (2022)
Alessandro Suglia, José Lopes, Emanuele Bastianelli, Andrea Vanzo, Shubham Agarwal, Malvina Nikandrou, Lu Yu, Ioannis Konstas, Verena Rieser
Going for GOAL: A Resource for Grounded Football Commentaries. CoRR (2022)
George Pantazopoulos, Alessandro Suglia, Arash Eshghi
Combine to Describe: Evaluating Compositional Generalization in Image Captioning. ACL (student) (2022)
Alessandro Suglia, Yonatan Bisk, Ioannis Konstas, Antonio Vergari, Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon
An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games. CoRR (2021)
Alessandro Suglia, Yonatan Bisk, Ioannis Konstas, Antonio Vergari, Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon
An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games. EACL (2021)
Alessandro Suglia, Qiaozi Gao, Jesse Thomason, Govind Thattai, Gaurav Sukhatme
Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion. CoRR (2021)
Alessandro Suglia, Ioannis Konstas, Andrea Vanzo, Emanuele Bastianelli, Desmond Elliott, Stella Frank, Oliver Lemon
CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning. ACL (2020)
Alessandro Suglia, Ioannis Konstas, Andrea Vanzo, Emanuele Bastianelli, Desmond Elliott, Stella Frank, Oliver Lemon
CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning. CoRR (2020)
Alessandro Suglia, Antonio Vergari, Ioannis Konstas, Yonatan Bisk, Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon
Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games. CoRR (2020)
Olivia Foulds, Alessandro Suglia, Leif Azzopardi, Martin Halvey
Predicting Perceptual Speed from Search Behaviour. SIGIR (2020)
Alessandro Suglia, Antonio Vergari, Ioannis Konstas, Yonatan Bisk, Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon
Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games. COLING (2020)
Pierpaolo Basile, Claudio Greco, Alessandro Suglia, Giovanni Semeraro
Bridging the gap between linked open data-based recommender systems and distributed representations. Inf. Syst. 86 (2019)
Pierpaolo Basile, Claudio Greco, Alessandro Suglia, Giovanni Semeraro
Deep Learning and Hierarchical Reinforcement Learning for modeling a Conversational Recommender System. Intelligenza Artificiale 12 (2) (2018)
Alessandro Suglia, Claudio Greco, Pierpaolo Basile, Giovanni Semeraro, Annalina Caputo
An Automatic Procedure for Generating Datasets for Conversational Recommender Systems. CLEF (Working Notes) (2017)
Alessandro Suglia, Claudio Greco, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
A Deep Architecture for Content-based Recommendations Exploiting Recurrent Neural Networks. UMAP (2017)
Claudio Greco, Alessandro Suglia, Pierpaolo Basile, Gaetano Rossiello, Giovanni Semeraro
Iterative Multi-document Neural Attention for Multiple Answer Prediction. CoRR (2017)
Stefano Ferilli, Andrea Pazienza, Sergio Angelastro, Alessandro Suglia
A Similarity-Based Abstract Argumentation Approach to Extractive Text Summarization. AI*IA (2017)
Claudio Greco, Alessandro Suglia, Pierpaolo Basile, Giovanni Semeraro
Converse-Et-Impera: Exploiting Deep Learning and Hierarchical Reinforcement Learning for Conversational Recommender Systems. AI*IA (2017)
Cataldo Musto, Claudio Greco, Alessandro Suglia, Giovanni Semeraro
Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks. IIR (2016)
Claudio Greco, Alessandro Suglia, Pierpaolo Basile, Gaetano Rossiello, Giovanni Semeraro
Iterative Multi-document Neural Attention for Multiple Answer Prediction. URANIA@AI*IA (2016)