Iterative Multi-document Neural Attention for Multiple Answer Prediction. - Claudio Greco 002; Alessandro Suglia; Pierpaolo Basile; Gaetano Rossiello; Giovanni Semeraro (URANIA@AI*IA, 2016)

Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks. - Cataldo Musto; Claudio Greco 002; Alessandro Suglia; Giovanni Semeraro (IIR, 2016)

Converse-Et-Impera: Exploiting Deep Learning and Hierarchical Reinforcement Learning for Conversational Recommender Systems. - Claudio Greco 002; Alessandro Suglia; Pierpaolo Basile; Giovanni Semeraro (AI*IA, 2017)

A Similarity-Based Abstract Argumentation Approach to Extractive Text Summarization. - Stefano Ferilli; Andrea Pazienza; Sergio Angelastro; Alessandro Suglia (AI*IA, 2017)

An Automatic Procedure for Generating Datasets for Conversational Recommender Systems. - Alessandro Suglia; Claudio Greco 002; Pierpaolo Basile; Giovanni Semeraro; Annalina Caputo (CLEF (Working Notes), 2017)

A Deep Architecture for Content-based Recommendations Exploiting Recurrent Neural Networks. - Alessandro Suglia; Claudio Greco 002; Cataldo Musto; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (UMAP, 2017)

Deep Learning and Hierarchical Reinforcement Learning for modeling a Conversational Recommender System. - Pierpaolo Basile; Claudio Greco 002; Alessandro Suglia; Giovanni Semeraro (Intelligenza Artificiale, 2018)

Bridging the gap between linked open data-based recommender systems and distributed representations. - Pierpaolo Basile; Claudio Greco 002; Alessandro Suglia; Giovanni Semeraro (Inf. Syst., 2019)

CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning. - Alessandro Suglia; Ioannis Konstas; Andrea Vanzo; Emanuele Bastianelli; Desmond Elliott; Stella Frank; Oliver Lemon (ACL, 2020)

Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games. - Alessandro Suglia; Antonio Vergari; Ioannis Konstas; Yonatan Bisk; Emanuele Bastianelli; Andrea Vanzo; Oliver Lemon (COLING, 2020)

Predicting Perceptual Speed from Search Behaviour. - Olivia Foulds; Alessandro Suglia; Leif Azzopardi; Martin Halvey (SIGIR, 2020)

An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games. - Alessandro Suglia; Yonatan Bisk; Ioannis Konstas; Antonio Vergari; Emanuele Bastianelli; Andrea Vanzo; Oliver Lemon (EACL, 2021)

Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion. - Alessandro Suglia; Qiaozi Gao; Jesse Thomason; Govind Thattai; Gaurav S. Sukhatme (CoRR, 2021)

Combine to Describe: Evaluating Compositional Generalization in Image Captioning. - Georgios Pantazopoulos; Alessandro Suglia; Arash Eshghi (ACL (student), 2022)

ACT-Thor: A Controlled Benchmark for Embodied Action Understanding in Simulated Environments. - Michael Hanna 001; Federico Pedeni; Alessandro Suglia; Alberto Testoni; Raffaella Bernardi (COLING, 2022)

Demonstrating EMMA: Embodied MultiModal Agent for Language-guided Action Execution in 3D Simulated Environments. - Alessandro Suglia; Bhathiya Hemanthage; Malvina Nikandrou; Georgios Pantazopoulos; Amit Parekh 001; Arash Eshghi; Claudio Greco 002; Ioannis Konstas; Oliver Lemon; Verena Rieser (SIGDIAL, 2022)

Exploring Multi-Modal Representations for Ambiguity Detection & Coreference Resolution in the SIMMC 2.0 Challenge. - Francisco Javier Chiyah Garcia; Alessandro Suglia; José Lopes 001; Arash Eshghi; Helen F. Hastie (CoRR, 2022)

Task Formulation Matters When Learning Continually: A Case Study in Visual Question Answering. - Malvina Nikandrou; Lu Yu; Alessandro Suglia; Ioannis Konstas; Verena Rieser (CoRR, 2022)

Going for GOAL: A Resource for Grounded Football Commentaries. - Alessandro Suglia; José Lopes 001; Emanuele Bastianelli; Andrea Vanzo; Shubham Agarwal 001; Malvina Nikandrou; Lu Yu; Ioannis Konstas; Verena Rieser (CoRR, 2022)

An Analysis of Visually Grounded Instructions in Embodied AI Tasks. - Marco Grazioso; Alessandro Suglia (CLiC-it, 2023)

Multitask Multimodal Prompted Training for Interactive Embodied Task Completion. - Georgios Pantazopoulos; Malvina Nikandrou; Amit Parekh 001; Bhathiya Hemanthage; Arash Eshghi; Ioannis Konstas; Verena Rieser; Oliver Lemon; Alessandro Suglia (EMNLP, 2023)

'What are you referring to?' Evaluating the Ability of Multi-Modal Dialogue Models to Process Clarificational Exchanges. - Francisco Javier Chiyah Garcia; Alessandro Suglia; Arash Eshghi; Helen Hastie (SIGDIAL, 2023)

Is Feedback All You Need? Leveraging Natural Language Feedback in Goal-Conditioned Reinforcement Learning. - Sabrina McCallum; Max Taylor-Davies; Stefano V. Albrecht; Alessandro Suglia (CoRR, 2023)

PIXAR: Auto-Regressive Language Modeling in Pixel Space. - Yintao Tai; Xiyang Liao; Alessandro Suglia; Antonio Vergari (ACL (Findings), 2024)

Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks. - Amit Parekh 001; Nikolas Vitsakis; Alessandro Suglia; Ioannis Konstas (EMNLP, 2024)

Repairs in a Block World: A New Benchmark for Handling User Corrections with Multi-Modal Language Models. - Francisco Javier Chiyah Garcia; Alessandro Suglia; Arash Eshghi (EMNLP, 2024)

Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language Modeling. - Georgios Pantazopoulos; Malvina Nikandrou; Alessandro Suglia; Oliver Lemon; Arash Eshghi (EMNLP, 2024)

AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding. - Alessandro Suglia; Claudio Greco 002; Katie Baker; Jose L. Part; Ioannis Papaioannou; Arash Eshghi; Ioannis Konstas; Oliver Lemon (EMNLP (Findings), 2024)

Human - Large Language Model Interaction: The dawn of a new era or the end of it all? - Daniel Hernández García; Marta Romeo; Christian Dondrup; Nancie Gunson; Angus Addlesee; Weronika Sieinska; Oliver Lemon; Alessandro Suglia; Matthew Peter Aylett (HRI (Companion), 2024)

Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language Resamplers. - Georgios Pantazopoulos; Alessandro Suglia; Oliver Lemon; Arash Eshghi (NAACL (Short Papers), 2024)

Follow Me: A Study on the Dynamics of Alignment Between Humans and LLM-Based Social Robots. - Jeffrey Sherer; Robbie McPherson; Sattwik Mohanty; Guilhem Santé; Greta Gandolfi; Marta Romeo; Alessandro Suglia (ICSR + AI (2), 2024)

Learning To See But Forgetting To Follow: Visual Instruction Tuning Makes LLMs More Prone To Jailbreak Attacks. - Georgios Pantazopoulos; Amit Parekh 001; Malvina Nikandrou; Alessandro Suglia (CoRR, 2024)

LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks. - Anna Bavaresco; Raffaella Bernardi; Leonardo Bertolazzi; Desmond Elliott; Raquel Fernández; Albert Gatt; Esam Ghaleb; Mario Giulianelli; Michael Hanna 001; Alexander Koller; André F. T. Martins; Philipp Mondorf; et al. (CoRR, 2024)

Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature Distillation. - Malvina Nikandrou; Georgios Pantazopoulos; Ioannis Konstas; Alessandro Suglia (CoRR, 2024)

Visually Grounded Language Learning: A Review of Language Games, Datasets, Tasks, and Models. - Alessandro Suglia; Ioannis Konstas; Oliver Lemon (J. Artif. Intell. Res., 2024)

CROPE: Evaluating In-Context Adaptation of Vision and Language Models to Culture-Specific Concepts. - Malvina Nikandrou; Georgios Pantazopoulos; Nikolas Vitsakis; Ioannis Konstas; Alessandro Suglia (NAACL (Long Papers), 2025)

Triangulating LLM Progress through Benchmarks, Games, and Cognitive Tests. - Filippo Momentè; Alessandro Suglia; Mario Giulianelli; Ambra Ferrari; Alexander Koller; Oliver Lemon; David Schlangen; Raquel Fernández; Raffaella Bernardi (CoRR, 2025)

Playpen: An Environment for Exploring Learning Through Conversational Interaction. - Nicola Horst; Davide Mazzaccara; Antonia Schmidt; Michael Sullivan; Filippo Momentè; Luca Franceschetti; Philipp Sadler; Sherzod Hakimov; Alberto Testoni; Raffaella Bernardi; Raquel Fernández; Alexander Koller; et al. (CoRR, 2025)

Movie Facts and Fibs (MF2): A Benchmark for Long Movie Understanding. - Emmanouil Zaranis; António Farinhas; Saul José Rodrigues dos Santos; Beatriz Canaverde; Miguel Moura Ramos; Aditya K. Surikuchi; André Viveiros; Baohao Liao; Elena Belén Bueno-Benito; Nithin Sivakumaran; Pavlo Vasylenko; Shoubin Yu; et al. (CoRR, 2025)

VoyagerVision: Investigating the Role of Multi-modal Information for Open-ended Learning Systems. - Ethan Smyth; Alessandro Suglia (CoRR, 2025)