Incorporating Demographic Factors into Natural Language Processing Models

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I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Pubblicazioni

No for Some, Yes for Others: Persona Prompts and Other Sources of False Refusal in Language Models

Autori: Flor Miriam Plaza-del-Arco, Paul Röttger, Nino Scherrer, Emanuele Borgonovo, Elmar Plischke, Dirk Hovy
Pubblicato in: Proceedings of the 9th Widening NLP Workshop, Numero November, 2025, Pagina/e 268-282
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2025.winlp-main.39

SimBench: Benchmarking the Ability of Large Language Models to Simulate Human Behaviors

Autori: Tiancheng Hu; Joachim Baumann; Lorenzo Lupo; Nigel Collier; Dirk Hovy; Paul Röttger
Pubblicato in: The Fourteenth International Conference on Learning Representations (ICLR 2026), Numero 23–27 April 2026, 2026
Editore: International Conference on Learning Representations

Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals’ Subjective Text Perceptions

Autori: Matthias Orlikowski, Jiaxin Pei, Paul Röttger, Philipp Cimiano, David Jurgens, Dirk Hovy
Pubblicato in: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Numero July, 2025, Pagina/e 2092-2111
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2025.acl-long.104

SocioProbe: What, When, and Where Language Models Learn about Sociodemographics

Autori: Lauscher, Anne; Bianchi, Federico; Bowman, Samuel R.; Hovy, Dirk
Pubblicato in: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022, Pagina/e 7901–7918
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.emnlp-main.539

XLM-EMO: Multilingual Emotion Prediction in Social Media Text

Autori: Federico Bianchi, Debora Nozza, Dirk Hovy
Pubblicato in: Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, 2022, Pagina/e 195–203
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.wassa-1.18

Biased Tales: Cultural and Topic Bias in Generating Children’s Stories

Autori: Donya Rooein, Vilém Zouhar, Debora Nozza, Dirk Hovy
Pubblicato in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, Numero November, 2025, Pagina/e 52-72
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2025.emnlp-main.3

“My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models

Autori: Xinpeng Wang, Bolei Ma, Chengzhi Hu, Leon Weber-Genzel, Paul Röttger, Frauke Kreuter, Dirk Hovy, Barbara Plank
Pubblicato in: Findings of the Association for Computational Linguistics ACL 2024, Numero August, 2024, Pagina/e 7407-7416
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.findings-acl.441

Hard and Soft Evaluation of NLP models with BOOtSTrap SAmpling - BooStSa

Autori: Tommaso Fornaciari; Alexandra Uma; Massimo Poesio; Dirk Hovy
Pubblicato in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2022, Pagina/e 127–134
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.acl-demo.12

Classist Tools: Social Class Correlates with Performance in NLP

Autori: Amanda Cercas Curry, Giuseppe Attanasio, Zeerak Talat, Dirk Hovy
Pubblicato in: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Numero August (Vol. 1 Long Papers), 2024, Pagina/e 12643-12655
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.acl-long.682

Educators’ Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting

Autori: Sankalan Pal Chowdhury, Terry Jingchen Zhang, Donya Rooein, Dirk Hovy, Tanja Käser, Mrinmaya Sachan
Pubblicato in: Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025), Numero July, 2025, Pagina/e 356-374
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2025.bea-1.28

Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models

Autori: Paul Röttger, Valentin Hofmann, Valentina Pyatkin, Musashi Hinck, Hannah Kirk, Hinrich Schuetze, Dirk Hovy
Pubblicato in: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Numero August, 2024, Pagina/e 15295-15311
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.acl-long.816

Fair and Argumentative Language Modeling for Computational Argumentation

Autori: Carolin Holtermann, Anne Lauscher, Simone Ponzetto
Pubblicato in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Numero 1, 2022, Pagina/e 7841–7861
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.acl-long.541

Responsible Evaluation of AI for Mental Health

Autori: Hiba Arnaout, Anmol Goel, H. Andrew Schwartz, Steffen T. Eberhardt, Dana Atzil-Slonim, Gavin Doherty, Brian Schwartz, Wolfgang Lutz, Tim Althoff, Munmun De Choudhury, Hamidreza Jamalabadi, Raj Sanjay Shah, Flor Miriam Plaza-del-Arco, Dirk Hovy, Maria Liakata, Iryna Gurevych
Pubblicato in: Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Numero July, 2026, Pagina/e 7625-7660
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2026.acl-long.347

A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation

Autori: Giuseppe Attanasio, Flor Plaza del Arco, Debora Nozza, Anne Lauscher
Pubblicato in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Numero December, 2023, Pagina/e 3996-4014
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.emnlp-main.243

Measuring Gender Bias in Language Models in Farsi

Autori: Hamidreza Saffari, Mohammadamin Shafiei, Donya Rooein, Debora Nozza
Pubblicato in: Proceedings of the 6th Workshop on Gender Bias in Natural Language Processing (GeBNLP), Numero August, 2025, Pagina/e 228-241
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2025.gebnlp-1.21

Beyond Flesch-Kincaid: Prompt-based Metrics Improve Difficulty Classification of Educational Texts

Autori: Rooein, Donya; Röttger, Paul; Shaitarova, Anastassia; Hovy, Dirk
Pubblicato in: Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024), Numero June, 2024, Pagina/e 54-67
Editore: Association for Computational Linguistics

The Pluralistic Moral Gap: Understanding Moral Judgment and Value Differences between Humans and Large Language Models

Autori: Giuseppe Russo, Debora Nozza, Paul Röttger, Dirk Hovy
Pubblicato in: Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), Numero March, 2026, Pagina/e 6481-6497
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2026.eacl-long.305

Contrastive Language–Image Pre-training for the Italian Language

Autori: Federico Bianchi; Giuseppe Attanasio; Raphael Pisoni; Silvia Terragni; Gabriele Sarti; Dario Balestri
Pubblicato in: Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023), Numero November, 2023, Pagina/e 78-85
Editore: CEUR Workshop Proceedings

DS-TOD: Efficient Domain Specialization for Task-Oriented Dialog

Autori: Chia-Chien Hung; Anne Lauscher; Simone Ponzetto; Goran Glavaš
Pubblicato in: Findings of the Association for Computational Linguistics: ACL 2022, Numero 1, 2022, Pagina/e 891–904
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.findings-acl.72

Pipelines for Social Bias Testing of Large Language Models

Autori: Debora Nozza; Federico Bianchi; Dirk Hovy
Pubblicato in: "Proceedings of BigScience Episode #5 -- Workshop on Challenges & Perspectives in Creating Large Language Models", Numero 1, 2022, Pagina/e 68–74
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.bigscience-1.6

Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals

Autori: Debora Nozza; Federico Bianchi; Anne Lauscher; Dirk Hovy
Pubblicato in: Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion, 2022, Pagina/e 26–34
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.ltedi-1.4

SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems

Autori: Emily Dinan; Gavin Abercrombie; A. Bergman; Shannon Spruit; Dirk Hovy; Y-Lan Boureau; Verena Rieser
Pubblicato in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022, Pagina/e 4113–4133
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.acl-long.284

Prioritizing Data Acquisition for end-to-end Speech Model Improvement

Autori: Alkis Koudounas, Eliana Pastor, Giuseppe Attanasio, Luca de Alfaro, Elena Baralis
Pubblicato in: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Numero 14-19 April 2024, 2024, Pagina/e 7000-7004, ISBN 979-8-3503-4485-1
Editore: IEEE
DOI: 10.1109/icassp48485.2024.10446326

Is It Really That Simple? Prompting Large Language Models for Automatic Text Simplification in Italian.

Autori: Debora Nozza; Giuseppe Attanasio
Pubblicato in: CEUR Workshop Proceedings, 2023
Editore: CEUR Workshop Proceedings

Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks

Autori: Paul Rottger; Bertie Vidgen; Dirk Hovy; Janet Pierrehumbert
Pubblicato in: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022, Pagina/e 175–190
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.naacl-main.13

Wisdom of Instruction-Tuned Language Model Crowds. Exploring Model Label Variation

Autori: Flor Miriam Plaza-del-Arco, Debora Nozza, Dirk Hovy
Pubblicato in: Proceedings of the Language Resources and Evaluation Conference, Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP (NLPerspectives) @ LREC-COLING 2024, Numero May, 2026, Pagina/e 19-30
Editore: European Language Resources Association (ELRA) and ICCL
DOI: 10.63317/3pst5yw7e4m4

The AI Gap: How Socioeconomic Status Affects Language Technology Interactions

Autori: Elisa Bassignana, Amanda Cercas Curry, Dirk Hovy
Pubblicato in: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Numero July, 2025, Pagina/e 18647-18664
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2025.acl-long.914

Computer says “No”: The Case Against Empathetic Conversational AI

Autori: Alba Cercas Curry, Amanda Cercas Curry
Pubblicato in: Findings of the Association for Computational Linguistics: ACL 2023, 2023, Pagina/e 8123–8130
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.findings-acl.515

MilaNLP at SemEval-2023 Task 10: Ensembling Domain-Adapted and Regularized Pretrained Language Models for Robust Sexism Detection

Autori: Amanda Cercas Curry, Giuseppe Attanasio, Debora Nozza, Dirk Hovy
Pubblicato in: Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), 2023, Pagina/e 2067–2074
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.semeval-1.285

Countering Hateful and Offensive Speech Online - Open Challenges

Autori: Leon Derczynski, Marco Guerini, Debora Nozza, Flor Miriam Plaza-del-Arco, Jeffrey Sorensen, Marcos Zampieri
Pubblicato in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, Numero November, 2024, Pagina/e 11-16
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.emnlp-tutorials.2

What about “em”? How Commercial Machine Translation Fails to Handle (Neo-)Pronouns

Autori: Anne Lauscher, Debora Nozza, Ehm Miltersen, Archie Crowley, Dirk Hovy
Pubblicato in: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Numero 1, 2023, Pagina/e 377–392
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.acl-long.23

Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection

Autori: Debora Nozza
Pubblicato in: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), Numero 2, 2021, Pagina/e 907–914
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2021.acl-short.114

Do Large Language Models Adapt to Language Variation across Socioeconomic Status?

Autori: Elisa Bassignana, Mike Zhang, Dirk Hovy, Amanda Cercas Curry
Pubblicato in: Proceedings of the 13th Workshop on NLP for Similar Languages, Varieties and Dialects, Numero March, 2026, Pagina/e 317-338
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2026.vardial-1.26

Bridging Fairness and Environmental Sustainability in Natural Language Processing

Autori: Marius Hessenthaler, Emma Strubell, Dirk Hovy, Anne Lauscher
Pubblicato in: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022, Pagina/e 7817–7836
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.emnlp-main.533

Temporal and Second Language Influence on Intra-Annotator Agreement and Stability in Hate Speech Labelling

Autori: Gavin Abercrombie, Dirk Hovy, Vinodkumar Prabhakaran
Pubblicato in: Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII), 2023, Pagina/e 96–103
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.law-1.10

Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists

Autori: Giuseppe Attanasio; Debora Nozza; Dirk Hovy; Elena Baralis
Pubblicato in: Findings of the Association for Computational Linguistics: ACL 2022, 2022, Pagina/e 1105–1119
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.findings-acl.88

We Need to Consider Disagreement in Evaluation

Autori: Valerio Basile, Michael Fell, Tommaso Fornaciari, Dirk Hovy, Silviu Paun, Barbara Plank, Massimo Poesio, Alexandra Uma
Pubblicato in: Proceedings of the 1st Workshop on Benchmarking: Past, Present and Future, Numero August, 2021, Pagina/e 15-21
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2021.bppf-1.3

Subjective Isms? On the Danger of Conflating Hate and Offence in Abusive Language Detection

Autori: Amanda Cercas Curry, Gavin Abercrombie, Zeerak Talat
Pubblicato in: Proceedings of the 8th Workshop on Online Abuse and Harms (WOAH 2024), Numero June, 2024, Pagina/e 275-282
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.woah-1.22

Can Demographic Factors Improve Text Classification? Revisiting Demographic Adaptation in the Age of Transformers

Autori: Chia-Chien Hung, Anne Lauscher, Dirk Hovy, Simone Paolo Ponzetto, Goran Glavaš
Pubblicato in: Findings of the Association for Computational Linguistics: EACL 2023, 2023, Pagina/e 1565–1580
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.findings-eacl.116

HONEST: Measuring Hurtful Sentence Completion in Language Models

Autori: Debora Nozza; Federico Bianchi; Dirk Hovy
Pubblicato in: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Numero 1, 2021, Pagina/e 2398–2406
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2021.naacl-main.191

Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages

Autori: Röttger, Paul; Nozza, Debora; Bianchi, Federico; Hovy, Dirk
Pubblicato in: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022, Pagina/e 5674–5691
Editore: Association for Computational Linguistics Abu Dhabi, United Arab Emirates
DOI: 10.18653/v1/2022.emnlp-main.383

Mirages. On Anthropomorphism in Dialogue Systems

Autori: Gavin Abercrombie, Amanda Curry, Tanvi Dinkar, Verena Rieser, Zeerak Talat
Pubblicato in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Numero December, 2023, Pagina/e 4776-4790
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.emnlp-main.290

Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution

Autori: Flor Miriam Plaza Del Arco, Amanda Curry, Alba Cercas Curry, Gavin Abercrombie, Dirk Hovy
Pubblicato in: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Numero Volume 1, 2024, Pagina/e 7682-7696
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.acl-long.415

Divine LLaMAs: Bias, Stereotypes, Stigmatization, and Emotion Representation of Religion in Large Language Models

Autori: Flor Miriam Plaza-del-Arco, Amanda Cercas Curry, Susanna Paoli, Alba Cercas Curry, Dirk Hovy
Pubblicato in: Findings of the Association for Computational Linguistics: EMNLP 2024, Numero Number, 2024, Pagina/e 4346-4366
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.findings-emnlp.251

The Importance of Modeling Social Factors of Language: Theory and Practice

Autori: Dirk Hovy; Diyi Yang
Pubblicato in: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Numero 1, 2021, Pagina/e 588–602
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2021.naacl-main.49

XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models

Autori: Paul Röttger, Hannah Kirk, Bertie Vidgen, Giuseppe Attanasio, Federico Bianchi, Dirk Hovy
Pubblicato in: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), Numero June, 2024, Pagina/e 5377-5400
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.naacl-long.301

Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performance

Autori: Pedro Henrique Luz de Araujo, Paul Röttger, Dirk Hovy, Benjamin Roth
Pubblicato in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, Numero November, 2025, Pagina/e 26845-26874
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2025.emnlp-main.1364

The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values

Autori: Hannah Kirk, Andrew Bean, Bertie Vidgen, Paul Rottger, Scott Hale
Pubblicato in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Numero December, 2023, Pagina/e 2409-2430
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.emnlp-main.148

HATE-ITA: Hate Speech Detection in Italian Social Media Text

Autori: Debora Nozza, Federico Bianchi, Giuseppe Attanasio
Pubblicato in: Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH), Numero July, 2022, Pagina/e 252-260
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.woah-1.24

PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors

Autori: Donya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva, Yuan Qin, Debora Nozza, Mrinmaya Sachan, Dirk Hovy
Pubblicato in: Findings of the Association for Computational Linguistics: EACL 2026, Numero March, 2026, Pagina/e 4186-4211
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2026.findings-eacl.219

Language Invariant Properties in Natural Language Processing

Autori: Federico Bianchi; Debora Nozza; Dirk Hovy
Pubblicato in: Proceedings of NLP Power! The First Workshop on Efficient Benchmarking in NLP, 2022, Pagina/e 84–92
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.nlppower-1.9

Benchmarking Post-Hoc Interpretability Approaches for Transformer-based Misogyny Detection

Autori: Giuseppe Attanasio; Debora Nozza; Eliana Pastor; Dirk Hovy
Pubblicato in: Proceedings of NLP Power! The First Workshop on Efficient Benchmarking in NLP, 2022, Pagina/e 100–112
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.nlppower-1.11

Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features

Autori: Eliana Pastor, Alkis Koudounas, Giuseppe Attanasio, Dirk Hovy, Elena Baralis
Pubblicato in: Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), Numero March, 2026, Pagina/e 2221-2238
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.eacl-long.136

Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement

Autori: Gavin Abercrombie, Tanvi Dinkar, Amanda Cercas Curry, Verena Rieser, Dirk Hovy
Pubblicato in: Proceedings of the The 4th Workshop on Perspectivist Approaches to NLP, Numero November, 2025, Pagina/e 63-74
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2025.nlperspectives-1.6

The State of Profanity Obfuscation in Natural Language Processing Scientific Publications

Autori: Debora Nozza, Dirk Hovy
Pubblicato in: Findings of the Association for Computational Linguistics: ACL 2023, 2023, Pagina/e 3897–3909
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.findings-acl.240

Compromesso! Italian Many-Shot Jailbreaks undermine the safety of Large Language Models

Autori: Fabio Pernisi, Dirk Hovy, Paul R�ttger
Pubblicato in: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), Numero August (pg 245-251), 2024, Pagina/e 339-345
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.acl-srw.29

Twitter-Demographer: A Flow-based Tool to Enrich Twitter Data

Autori: Federico Bianchi, Vincenzo Cutrona, Dirk Hovy
Pubblicato in: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2022, Pagina/e 289–297
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.emnlp-demos.29

Sustainable Modular Debiasing of Language Models

Autori: Anne Lauscher; Tobias Lueken; Goran Glavaš
Pubblicato in: Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, Pagina/e 4782–4797
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2021.findings-emnlp.411

The Ecological Fallacy in Annotation: Modeling Human Label Variation goes beyond Sociodemographics

Autori: Matthias Orlikowski, Paul Röttger, Philipp Cimiano, Dirk Hovy
Pubblicato in: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Numero 2, 2023, Pagina/e 1017–1029
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.acl-short.88

MilaNLP at SemEval-2022 Task 5: Using Perceiver IO for Detecting Misogynous Memes with Text and Image Modalities

Autori: Giuseppe Attanasio, Debora Nozza, Federico Bianchi
Pubblicato in: Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), Numero July, 2022, Pagina/e 654-662
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.semeval-1.90

Welcome to the modern world of pronouns: identity-inclusive Natural Language Processing beyond gender

Autori: Lauscher, Anne; Crowley, Archie; Hovy, Dirk
Pubblicato in: Proceedings of the 29th International Conference on Computational Linguistics, 2022, Pagina/e 1221–1232
Editore: International Committee on Computational Linguistics

Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directions

Autori: Flor Miriam Plaza-del-Arco, Alba A. Cercas Curry, Amanda Cercas Curry, Dirk Hovy
Pubblicato in: Proceedings of the Language Resources and Evaluation Conference, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Numero May, 2026, Pagina/e 5696-5710
Editore: European Language Resources Association (ELRA) and ICCL
DOI: 10.63317/3kradf7tw6gm

Guiding the Release of Safer E2E Conversational AI through Value Sensitive Design

Autori: Bergman, A. Stevie; Abercrombie, Gavin; Spruit, Shannon; Hovy, Dirk; Dinan, Emily; Boureau, Y-Lan; Verena Rieser
Pubblicato in: Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022, Pagina/e 39–52
Editore: Association for Computational Linguistics

Exploring Subjective Tasks in Farsi: A Survey Analysis and Evaluation of Language Model

Autori: Donya Rooein, Flor Miriam Plaza-del-Arco, Debora Nozza, Dirk Hovy
Pubblicato in: The Proceedings for the 15th Workshop on Computational Approaches to Subjectivity, Sentiment Social Media Analysis (WASSA 2026), Numero March, 2026, Pagina/e 83-95
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2026.wassa-1.8

Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps

Autori: Giuseppe Attanasio, Beatrice Savoldi, Dennis Fucci, Dirk Hovy
Pubblicato in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Numero November, 2024, Pagina/e 21318-21340
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.emnlp-main.1188

Impoverished Language Technology: The Lack of (Social) Class in NLP

Autori: Amanda Cercas Curry, Zeerak Talat, Dirk Hovy
Pubblicato in: Proceedings of the Language Resources and Evaluation Conference, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Numero May, 2026, Pagina/e 8675-8682
Editore: European Language Resources Association (ELRA) and ICCL
DOI: 10.63317/3rkpbzff74pc

SafetyPrompts: A Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety

Autori: Paul Röttger, Fabio Pernisi, Bertie Vidgen, Dirk Hovy
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, Numero 39, 2025, Pagina/e 27617-27627, ISSN 2374-3468
Editore: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/aaai.v39i26.34975

IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance

Autori: Paul Röttger, Musashi Hinck, Valentin Hofmann, Kobi Hackenburg, Valentina Pyatkin, Faeze Brahman, Dirk Hovy
Pubblicato in: Transactions of the Association for Computational Linguistics, Numero 14, 2026, Pagina/e 318-340, ISSN 2307-387X
Editore: MIT Press
DOI: 10.1162/tacl.a.626

Five sources of bias in natural language processing

Autori: Dirk Hovy, Shrimai Prabhumoye
Pubblicato in: Language and Linguistics Compass, Wiley, 2021, ISSN 1749-818X
Editore: Blackwell
DOI: 10.1111/lnc3.12432

Viewpoint: Artificial Intelligence Accidents Waiting to Happen?

Autori: Federico Bianchi, Amanda Cercas Curry, Dirk Hovy
Pubblicato in: Journal of Artificial Intelligence Research, Numero Vol. 76 (2023), 2023, ISSN 1076-9757
Editore: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.14263

MSTS: A Multimodal Safety Test Suite for Vision-Language Models

Autori: Paul Röttger; Giuseppe Attanasio; Felix Friedrich; Janis Goldzycher; Alicia Parrish; Rishabh Bhardwaj; Chiara Di Bonaventura; Roman Eng; Gaia El Khoury Geagea; Subhra S. Goswami; Jieun Han; Dirk Hovy; Seogyeong Jeong; Paloma Jeretic; Flor Miriam Plaza del Arco; Donya Rooein; Patrick Schramowski; Anastassia Shaitarova; Xudong Shen; Richard Willats; Andrea Zugarini; Bertie Vidgen
Pubblicato in: ArXiv, Numero arXiv:2501.10057, 2025
Editore: ArXiv

The Role of Implicit and Explicit Demographic Signals in Large Language Model-based Student Assessment

Autori: Donya Rooein; Luca Benedetto; Dirk Hovy
Pubblicato in: arXiv, Numero arXiv:2609.16993, 2026
Editore: arXiv

WildSEEK: Evaluating Language Models for Information-Seeking

Autori: Tanise Ceron; Joachim Baumann; Elisa Bassignana; Berat Cabuk; Dirk Hovy; Debora Nozza
Pubblicato in: Numero arXiv:2608.30683, 2026
Editore: Arxiv

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