Alessandro Suglia
Orcid: 0000-0002-3177-5197Affiliations:
- Heriot-Watt University, UK
According to our database1,
Alessandro Suglia
authored at least 34 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
Visually Grounded Language Learning: A Review of Language Games, Datasets, Tasks, and Models.
J. Artif. Intell. Res., 2024
Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature Distillation.
CoRR, 2024
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks.
CoRR, 2024
Learning To See But Forgetting To Follow: Visual Instruction Tuning Makes LLMs More Prone To Jailbreak Attacks.
CoRR, 2024
Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language Resamplers.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024
Human - Large Language Model Interaction: The dawn of a new era or the end of it all?
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024
AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language Modeling.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Repairs in a Block World: A New Benchmark for Handling User Corrections with Multi-Modal Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Is Feedback All You Need? Leveraging Natural Language Feedback in Goal-Conditioned Reinforcement Learning.
CoRR, 2023
'What are you referring to?' Evaluating the Ability of Multi-Modal Dialogue Models to Process Clarificational Exchanges.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 9th Italian Conference on Computational Linguistics, Venice, Italy, November 30, 2023
2022
Task Formulation Matters When Learning Continually: A Case Study in Visual Question Answering.
CoRR, 2022
Exploring Multi-Modal Representations for Ambiguity Detection & Coreference Resolution in the SIMMC 2.0 Challenge.
CoRR, 2022
Demonstrating EMMA: Embodied MultiModal Agent for Language-guided Action Execution in 3D Simulated Environments.
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022
ACT-Thor: A Controlled Benchmark for Embodied Action Understanding in Simulated Environments.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2022
2021
Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion.
CoRR, 2021
An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Bridging the gap between linked open data-based recommender systems and distributed representations.
Inf. Syst., 2019
2018
Deep Learning and Hierarchical Reinforcement Learning for modeling a Conversational Recommender System.
Intelligenza Artificiale, 2018
2017
A Deep Architecture for Content-based Recommendations Exploiting Recurrent Neural Networks.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017
An Automatic Procedure for Generating Datasets for Conversational Recommender Systems.
Proceedings of the Working Notes of CLEF 2017, 2017
Proceedings of the AI*IA 2017 Advances in Artificial Intelligence, 2017
Converse-Et-Impera: Exploiting Deep Learning and Hierarchical Reinforcement Learning for Conversational Recommender Systems.
Proceedings of the AI*IA 2017 Advances in Artificial Intelligence, 2017
2016
Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks.
Proceedings of the 7th Italian Information Retrieval Workshop, 2016
Proceedings of the AI*IA Workshop on Deep Understanding and Reasoning: A Challenge for Next-generation Intelligent Agents 2016 co-located with 15th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2016), 2016