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Giuseppe Attanasio
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2020 – today
- 2024
- [j4]Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia:
Author Correction: A challenge for rounded evaluation of recommender systems. Nat. Mac. Intell. 6(3): 368 (2024) - [j3]Alkis Koudounas, Eliana Pastor, Giuseppe Attanasio, Vittorio Mazzia, Manuel Giollo, Thomas Gueudré, Elisa Reale, Luca Cagliero, Sandro Cumani, Luca de Alfaro, Elena Baralis, Daniele Amberti:
Towards Comprehensive Subgroup Performance Analysis in Speech Models. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1468-1480 (2024) - [c28]Manuel Lardelli, Giuseppe Attanasio, Anne Lauscher:
Building Bridges: A Dataset for Evaluating Gender-Fair Machine Translation into German. ACL (Findings) 2024: 7542-7550 - [c27]Amanda Cercas Curry, Giuseppe Attanasio, Zeerak Talat, Dirk Hovy:
Classist Tools: Social Class Correlates with Performance in NLP. ACL (1) 2024: 12643-12655 - [c26]Eliana Pastor, Alkis Koudounas, Giuseppe Attanasio, Dirk Hovy, Elena Baralis:
Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features. EACL (1) 2024: 2221-2238 - [c25]Manuel Lardelli, Anne Lauscher, Giuseppe Attanasio:
GeFMT: Gender-Fair Language in German Machine Translation. EAMT (2) 2024: 37-38 - [c24]Giuseppe Attanasio, Beatrice Savoldi, Dennis Fucci, Dirk Hovy:
Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps. EMNLP 2024: 21318-21340 - [c23]Pieter Delobelle, Giuseppe Attanasio, Debora Nozza, Su Lin Blodgett, Zeerak Talat:
Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP. EMNLP 2024: 21669-21691 - [c22]Alkis Koudounas, Eliana Pastor, Vittorio Mazzia, Manuel Giollo, Thomas Gueudré, Elisa Reale, Giuseppe Attanasio, Luca Cagliero, Sandro Cumani, Luca De Alfaro, Elena Baralis, Daniele Amberti:
Leveraging Confidence Models for Identifying Challenging Data Subgroups in Speech Models. ICASSP Workshops 2024: 134-138 - [c21]Alkis Koudounas, Eliana Pastor, Giuseppe Attanasio, Luca de Alfaro, Elena Baralis:
Prioritizing Data Acquisition for end-to-end Speech Model Improvement. ICASSP 2024: 7000-7004 - [c20]Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou:
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. ICLR 2024 - [c19]Paul Röttger, Hannah Kirk, Bertie Vidgen, Giuseppe Attanasio, Federico Bianchi, Dirk Hovy:
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models. NAACL-HLT 2024: 5377-5400 - [c18]Chrysoula Zerva, Frédéric Blain, José Guilherme Camargo de Souza, Diptesh Kanojia, Sourabh Dattatray Deoghare, Nuno Miguel Guerreiro, Giuseppe Attanasio, Ricardo Rei, Constantin Orasan, Matteo Negri, Marco Turchi, Rajen Chatterjee, Pushpak Bhattacharyya, Markus Freitag, André Martins:
Findings of the Quality Estimation Shared Task at WMT 2024: Are LLMs Closing the Gap in QE? WMT 2024: 82-109 - [i17]Giuseppe Attanasio, Beatrice Savoldi, Dennis Fucci, Dirk Hovy:
Multilingual Speech Models for Automatic Speech Recognition Exhibit Gender Performance Gaps. CoRR abs/2402.17954 (2024) - [i16]Amanda Cercas Curry, Giuseppe Attanasio, Zeerak Talat, Dirk Hovy:
Classist Tools: Social Class Correlates with Performance in NLP. CoRR abs/2403.04445 (2024) - [i15]Manuel Lardelli, Giuseppe Attanasio, Anne Lauscher:
Building Bridges: A Dataset for Evaluating Gender-Fair Machine Translation into German. CoRR abs/2406.06131 (2024) - [i14]Emmanouil Zaranis, Giuseppe Attanasio, Sweta Agrawal, André F. T. Martins:
Watching the Watchers: Exposing Gender Disparities in Machine Translation Quality Estimation. CoRR abs/2410.10995 (2024) - 2023
- [j2]Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia:
A challenge for rounded evaluation of recommender systems. Nat. Mac. Intell. 5(2): 181-182 (2023) - [c17]Federico Bianchi, Giuseppe Attanasio, Raphael Pisoni, Silvia Terragni, Gabriele Sarti, Dario Balestri:
Contrastive Language-Image Pre-training for the Italian Language. CLiC-it 2023 - [c16]Debora Nozza, Giuseppe Attanasio:
Is It Really That Simple? Prompting Large Language Models for Automatic Text Simplification in Italian. CLiC-it 2023 - [c15]Giuseppe Attanasio, Eliana Pastor, Chiara Di Bonaventura, Debora Nozza:
ferret: a Framework for Benchmarking Explainers on Transformers. EACL (System Demonstrations) 2023: 256-266 - [c14]Giuseppe Attanasio, Flor Miriam Plaza del Arco, Debora Nozza, Anne Lauscher:
A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation. EMNLP 2023: 3996-4014 - [c13]Alkis Koudounas, Eliana Pastor, Giuseppe Attanasio, Vittorio Mazzia, Manuel Giollo, Thomas Gueudré, Luca Cagliero, Luca de Alfaro, Elena Baralis, Daniele Amberti:
Exploring Subgroup Performance in End-to-End Speech Models. ICASSP 2023: 1-5 - [c12]Alkis Koudounas, Moreno La Quatra, Lorenzo Vaiani, Luca Colomba, Giuseppe Attanasio, Eliana Pastor, Luca Cagliero, Elena Baralis:
ITALIC: An Italian Intent Classification Dataset. INTERSPEECH 2023: 2153-2157 - [c11]Amanda Cercas Curry, Giuseppe Attanasio, Debora Nozza, Dirk Hovy:
MilaNLP at SemEval-2023 Task 10: Ensembling Domain-Adapted and Regularized Pretrained Language Models for Robust Sexism Detection. SemEval@ACL 2023: 2067-2074 - [i13]Patrick John Chia, Giuseppe Attanasio, Jacopo Tagliabue, Federico Bianchi, Ciro Greco, Gabriel de Souza P. Moreira, Davide Eynard, Fahd Husain:
E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems. CoRR abs/2304.10621 (2023) - [i12]Alkis Koudounas, Moreno La Quatra, Lorenzo Vaiani, Luca Colomba, Giuseppe Attanasio, Eliana Pastor, Luca Cagliero, Elena Baralis:
ITALIC: An Italian Intent Classification Dataset. CoRR abs/2306.08502 (2023) - [i11]Paul Röttger, Hannah Rose Kirk, Bertie Vidgen, Giuseppe Attanasio, Federico Bianchi, Dirk Hovy:
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models. CoRR abs/2308.01263 (2023) - [i10]Helena Bonaldi, Giuseppe Attanasio, Debora Nozza, Marco Guerini:
Weigh Your Own Words: Improving Hate Speech Counter Narrative Generation via Attention Regularization. CoRR abs/2309.02311 (2023) - [i9]Eliana Pastor, Alkis Koudounas, Giuseppe Attanasio, Dirk Hovy, Elena Baralis:
Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features. CoRR abs/2309.07733 (2023) - [i8]Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou:
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. CoRR abs/2309.07875 (2023) - [i7]Giuseppe Attanasio, Flor Miriam Plaza del Arco, Debora Nozza, Anne Lauscher:
A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation. CoRR abs/2310.12127 (2023) - 2022
- [c10]Giuseppe Attanasio, Debora Nozza, Dirk Hovy, Elena Baralis:
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists. ACL (Findings) 2022: 1105-1119 - [c9]Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia:
EvalRS: a rounded evaluation of recommender systems. CIKM Workshops 2022 - [c8]Giuseppe Attanasio, Debora Nozza, Federico Bianchi:
MilaNLP at SemEval-2022 Task 5: Using Perceiver IO for Detecting Misogynous Memes with Text and Image Modalities. SemEval@NAACL 2022: 654-662 - [i6]Giuseppe Attanasio, Debora Nozza, Dirk Hovy, Elena Baralis:
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists. CoRR abs/2203.09192 (2022) - [i5]Patrick John Chia, Giuseppe Attanasio, Federico Bianchi, Silvia Terragni, Ana Rita Magalhães, Diogo Gonçalves, Ciro Greco, Jacopo Tagliabue:
FashionCLIP: Connecting Language and Images for Product Representations. CoRR abs/2204.03972 (2022) - [i4]Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia:
EvalRS: a Rounded Evaluation of Recommender Systems. CoRR abs/2207.05772 (2022) - [i3]Giuseppe Attanasio, Eliana Pastor, Chiara Di Bonaventura, Debora Nozza:
ferret: a Framework for Benchmarking Explainers on Transformers. CoRR abs/2208.01575 (2022) - [i2]Giuseppe Attanasio, Debora Nozza, Federico Bianchi, Dirk Hovy:
Is It Worth the (Environmental) Cost? Limited Evidence for the Benefits of Diachronic Continuous Training. CoRR abs/2210.07365 (2022) - 2021
- [c7]Giuseppe Attanasio, Salvatore Greco, Moreno La Quatra, Luca Cagliero, Michela Tonti, Tania Cerquitelli, Rachele Raus:
E-MIMIC: Empowering Multilingual Inclusive Communication. IEEE BigData 2021: 4227-4234 - [i1]Federico Bianchi, Giuseppe Attanasio, Raphael Pisoni, Silvia Terragni, Gabriele Sarti, Sri Lakshmi:
Contrastive Language-Image Pre-training for the Italian Language. CoRR abs/2108.08688 (2021) - 2020
- [j1]Luca Cagliero, Paolo Garza, Giuseppe Attanasio, Elena Baralis:
Training ensembles of faceted classification models for quantitative stock trading. Computing 102(5): 1213-1225 (2020) - [c6]Giuseppe Attanasio, Flavio Giobergia, Andrea Pasini, Francesco Ventura, Elena Baralis, Luca Cagliero, Paolo Garza, Daniele Apiletti, Tania Cerquitelli, Silvia Chiusano:
DSLE: A Smart Platform for Designing Data Science Competitions. COMPSAC 2020: 133-142 - [c5]Giuseppe Attanasio, Eliana Pastor:
PoliTeam @ AMI: Improving Sentence Embedding Similarity with Misogyny Lexicons for Automatic Misogyny Identification in Italian Tweets. EVALITA 2020 - [c4]Giuseppe Attanasio, Luca Cagliero, Elena Baralis:
Leveraging the explainability of associative classifiers to support quantitative stock trading. DSMM@SIGMOD 2020: 2:1-2:6
2010 – 2019
- 2019
- [c3]Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis:
Combining News Sentiment and Technical Analysis to Predict Stock Trend Reversal. ICDM Workshops 2019: 514-521 - [c2]Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis:
Quantitative cryptocurrency trading: exploring the use of machine learning techniques. DSMM@SIGMOD 2019: 1:1-1:6 - 2017
- [c1]Giuseppe Attanasio, Alberto Cannavò, Francesca Cibrario, Fabrizio Lamberti, Paolo Montuschi, Gianluca Paravati:
HOT: Hold your own tools for AR-based constructive art. 3DUI 2017: 256-257
Coauthor Index
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last updated on 2024-11-25 22:46 CET by the dblp team
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