Diego Antognini

48 papers A* 4A 4B 2Journal 29Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving Interactive In-Context Learning from Natural Language Feedback. CoRR Martin Klissarov, Jonathan Cook, Diego Antognini, Hao Sun, Jingling Li, Natasha Jaques, Claudiu Musat, Edward Grefenstette
2026	J	`jnl`	Learning to Learn from Language Feedback with Social Meta-Learning. CoRR Jonathan Cook, Diego Antognini, Martin Klissarov, Claudiu Musat, Edward Grefenstette
2026	J	`jnl`	Position: Introspective Experience from Conversational Environments as a Path to Better Learning. CoRR Claudiu Cristian Musat, Jackson Tolins, Diego Antognini, Jingling Li, Martin Klissarov, Tom Duerig
2025	J	`jnl`	InkFM: A Foundational Model for Full-Page Online Handwritten Note Understanding. CoRR Anastasiia Fadeeva, Vincent Coriou, Diego Antognini, Claudiu Musat, Andrii Maksai
2024	A*	`conf`	ESG Accountability Made Easy: DocQA at Your Service. AAAI Lokesh Mishra, Cesar Berrospi, Kasper Dinkla, Diego Antognini, Francesco Fusco, Benedikt Bothur, Maksym Lysak, Nikolaos Livathinos, Ahmed S. Nassar, Panagiotis Vagenas, Lucas Morin, Christoph Auer, Michele Dolfi, Peter W. J. Staar
2024	J	`jnl`	MC Layer Normalization for calibrated uncertainty in Deep Learning. Trans. Mach. Learn. Res. Thomas Frick, Diego Antognini, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi, Rong J. B. Zhu, Mattia Rigotti
2024	—	`conf`	Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models. NAACL-HLT Yue Zhou, Yada Zhu, Diego Antognini, Yoon Kim, Yang Zhang
2024	J	`jnl`	Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models. CoRR Yue Zhou, Yada Zhu, Diego Antognini, Yoon Kim, Yang Zhang
2024	A*	`conf`	Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning. NeurIPS Runqian Wang, Soumya Ghosh, David D. Cox, Diego Antognini, Aude Oliva, Rogério Feris, Leonid Karlinsky
2024	J	`jnl`	Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning. CoRR Runqian Wang, Soumya Ghosh, David D. Cox, Diego Antognini, Aude Oliva, Rogério Feris, Leonid Karlinsky
2023	A	`conf`	Assistive Recipe Editing through Critiquing. EACL Diego Antognini, Shuyang Li, Boi Faltings, Julian J. McAuley
2023	J	`jnl`	ESG Accountability Made Easy: DocQA at Your Service. CoRR Lokesh Mishra, Cesar Berrospi, Kasper Dinkla, Diego Antognini, Francesco Fusco, Benedikt Bothur, Maksym Lysak, Nikolaos Livathinos, Ahmed S. Nassar, Panagiotis Vagenas, Lucas Morin, Christoph Auer, Michele Dolfi, Peter W. J. Staar
2023	—	`conf`	Extracting Text Representations for Terms and Phrases in Technical Domains. ACL (industry) Francesco Fusco, Diego Antognini
2023	J	`jnl`	Extracting Text Representations for Terms and Phrases in Technical Domains. CoRR Francesco Fusco, Diego Antognini
2023	—	`conf`	pNLP-Mixer: an Efficient all-MLP Architecture for Language. ACL (industry) Francesco Fusco, Damian Pascual, Peter W. J. Staar, Diego Antognini
2022	—	`conf`	Active Learning for Imbalanced Civil Infrastructure Data. ECCV Workshops (7) Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi
2022	J	`jnl`	Active Learning for Imbalanced Civil Infrastructure Data. CoRR Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi
2022	J	`jnl`	Assistive Recipe Editing through Critiquing. CoRR Diego Antognini, Shuyang Li, Boi Faltings, Julian J. McAuley
2022	J	`jnl`	Interlock-Free Multi-Aspect Rationalization for Text Classification. CoRR Shuangqi Li, Diego Antognini, Boi Faltings
2022	J	`jnl`	Positive and Negative Critiquing for VAE-based Recommenders. CoRR Diego Antognini, Boi Faltings
2022	J	`jnl`	Textual Explanations and Critiques in Recommendation Systems. CoRR Diego Antognini
2022	—	`—`	Textual Explanations and Critiques in Recommendation Systems. Diego Antognini
2022	—	`conf`	Unsupervised Term Extraction for Highly Technical Domains. EMNLP (Industry Track) Francesco Fusco, Peter W. J. Staar, Diego Antognini
2022	J	`jnl`	Unsupervised Term Extraction for Highly Technical Domains. CoRR Francesco Fusco, Peter W. J. Staar, Diego Antognini
2021	A	`conf`	Addressing fairness in classification with a model-agnostic multi-objective algorithm. UAI Kirtan Padh, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat
2021	A	`conf`	Fast Multi-Step Critiquing for VAE-based Recommender Systems. RecSys Diego Antognini, Boi Faltings
2021	J	`jnl`	Fast Multi-Step Critiquing for VAE-based Recommender Systems. CoRR Diego Antognini, Boi Faltings
2021	A*	`conf`	Interacting with Explanations through Critiquing. IJCAI Diego Antognini, Claudiu Musat, Boi Faltings
2021	—	`conf`	Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context. Perspectives@RecSys Milena Filipovic, Blagoj Mitrevski, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat
2021	A*	`conf`	Multi-Dimensional Explanation of Target Variables from Documents. AAAI Diego Antognini, Claudiu Musat, Boi Faltings
2021	A	`conf`	Multi-Step Critiquing User Interface for Recommender Systems. RecSys Diana Andreea Petrescu, Diego Antognini, Boi Faltings
2021	J	`jnl`	Multi-Step Critiquing User Interface for Recommender Systems. CoRR Diana Petrescu, Diego Antognini, Boi Faltings
2021	—	`conf`	Rationalization through Concepts. ACL/IJCNLP (Findings) Diego Antognini, Boi Faltings
2021	J	`jnl`	Rationalization through Concepts. CoRR Diego Antognini, Boi Faltings
2021	J	`jnl`	Recommending Burgers based on Pizza Preferences: Addressing Data Sparsity with a Product of Experts. CoRR Martin Milenkoski, Diego Antognini, Claudiu Musat
2020	J	`jnl`	Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm. CoRR Kirtan Padh, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat
2020	B	`conf`	GameWikiSum: a Novel Large Multi-Document Summarization Dataset. LREC Diego Antognini, Boi Faltings
2020	J	`jnl`	GameWikiSum: a Novel Large Multi-Document Summarization Dataset. CoRR Diego Antognini, Boi Faltings
2020	B	`conf`	HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset. LREC Diego Antognini, Boi Faltings
2020	J	`jnl`	HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset. CoRR Diego Antognini, Boi Faltings
2020	J	`jnl`	Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context. CoRR Milena Filipovic, Blagoj Mitrevski, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat
2020	J	`jnl`	Momentum-based Gradient Methods in Multi-objective Recommender Systems. CoRR Blagoj Mitrevski, Milena Filipovic, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat
2020	J	`jnl`	Multi-Gradient Descent for Multi-Objective Recommender Systems. CoRR Nikola Milojkovic, Diego Antognini, Giancarlo Bergamin, Boi Faltings, Claudiu Musat
2020	J	`jnl`	T-RECS: a Transformer-based Recommender Generating Textual Explanations and Integrating Unsupervised Language-based Critiquing. CoRR Diego Antognini, Claudiu Musat, Boi Faltings
2019	J	`jnl`	Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization. CoRR Diego Antognini, Boi Faltings
2019	J	`jnl`	Multi-Dimensional Explanation of Reviews. CoRR Diego Antognini, Claudiu Musat, Boi Faltings
2017	—	`conf`	Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision. ICDM Workshops Athanasios Giannakopoulos, Diego Antognini, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl
2017	J	`jnl`	Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision. CoRR Athanasios Giannakopoulos, Diego Antognini, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl