Disambiguation of Preposition Sense Using Linguistically Motivated Features. - Stephen Tratz; Dirk Hovy (HLT-NAACL (Student Research Workshop and Doctoral Consortium), 2009)

What's in a Preposition? Dimensions of Sense Disambiguation for an Interesting Word Class. - Dirk Hovy; Stephen Tratz; Eduard H. Hovy (COLING (Posters), 2010)

Models and Training for Unsupervised Preposition Sense Disambiguation. - Dirk Hovy; Ashish Vaswani; Stephen Tratz; David Chiang 001; Eduard H. Hovy (ACL (2), 2011)

Unsupervised Discovery of Domain-Specific Knowledge from Text. - Dirk Hovy; Chunliang Zhang; Eduard H. Hovy; Anselmo Peñas (ACL, 2011)

When Did that Happen? - Linking Events and Relations to Timestamps. - Dirk Hovy; James Fan; Alfio Massimiliano Gliozzo; Siddharth Patwardhan; Christopher A. Welty (EACL, 2012)

A Walk-Based Semantically Enriched Tree Kernel Over Distributed Word Representations. - Shashank Srivastava; Dirk Hovy; Eduard H. Hovy (EMNLP, 2013)

Analysis and modeling of "focus" in context. - Dirk Hovy; Gopala Krishna Anumanchipalli; Alok Parlikar; Caroline Vaughn; Adam C. Lammert; Eduard H. Hovy; Alan W. Black (INTERSPEECH, 2013)

Learning Whom to Trust with MACE. - Dirk Hovy; Taylor Berg-Kirkpatrick; Ashish Vaswani; Eduard H. Hovy (HLT-NAACL, 2013)

Solving electrical networks to incorporate supervision in random walks. - Mrinmaya Sachan; Dirk Hovy; Eduard H. Hovy (WWW (Companion Volume), 2013)

How Well can We Learn Interpretable Entity Types from Text? - Dirk Hovy (ACL (2), 2014)

Experiments with crowdsourced re-annotation of a POS tagging data set. - Dirk Hovy; Barbara Plank; Anders Søgaard (ACL (2), 2014)

Linguistically debatable or just plain wrong? - Barbara Plank; Dirk Hovy; Anders Søgaard (ACL (2), 2014)

Adapting taggers to Twitter with not-so-distant supervision. - Barbara Plank; Dirk Hovy; Ryan T. McDonald; Anders Søgaard (COLING, 2014)

Selection Bias, Label Bias, and Bias in Ground Truth. - Anders Søgaard; Barbara Plank; Dirk Hovy (COLING (Tutorials), 2014)

What's in a p-value in NLP? - Anders Søgaard; Anders Johannsen; Barbara Plank; Dirk Hovy; Héctor Martínez Alonso (CoNLL, 2014)

Learning part-of-speech taggers with inter-annotator agreement loss. - Barbara Plank; Dirk Hovy; Anders Søgaard (EACL, 2014)

Crowdsourcing and annotating NER for Twitter #drift. - Hege Fromreide; Dirk Hovy; Anders Søgaard (LREC, 2014)

When POS data sets don't add up: Combatting sample bias. - Dirk Hovy; Barbara Plank; Anders Søgaard (LREC, 2014)

Augmenting English Adjective Senses with Supersenses. - Yulia Tsvetkov; Nathan Schneider 001; Dirk Hovy; Archna Bhatia; Manaal Faruqui; Chris Dyer (LREC, 2014)

Copenhagen-Malmö: Tree Approximations of Semantic Parsing Problems. - Natalie Schluter; Anders Søgaard; Jakob Elming; Dirk Hovy; Barbara Plank; Héctor Martínez Alonso; Anders Johannsen; Sigrid Klerke (SemEval@COLING, 2014)

More or less supervised supersense tagging of Twitter. - Anders Johannsen; Dirk Hovy; Héctor Martínez Alonso; Barbara Plank; Anders Søgaard (*SEM@COLING, 2014)

Robust Cross-Domain Sentiment Analysis for Low-Resource Languages. - Jakob Elming; Barbara Plank; Dirk Hovy (WASSA@ACL, 2014)

If all you have is a bit of the Bible: Learning POS taggers for truly low-resource languages. - Zeljko Agic; Dirk Hovy; Anders Søgaard (ACL (2), 2015)

Demographic Factors Improve Classification Performance. - Dirk Hovy (ACL (1), 2015)

Tagging Performance Correlates with Author Age. - Dirk Hovy; Anders Søgaard (ACL (2), 2015)

Challenges of studying and processing dialects in social media. - Anna Jørgensen; Dirk Hovy; Anders Søgaard (NUT@IJCNLP, 2015)

Cross-lingual syntactic variation over age and gender. - Anders Johannsen; Dirk Hovy; Anders Søgaard (CoNLL, 2015)

The Rating Game: Sentiment Rating Reproducibility from Text. - Lasse Borgholt; Peter Simonsen; Dirk Hovy (EMNLP, 2015)

Mining for unambiguous instances to adapt part-of-speech taggers to new domains. - Dirk Hovy; Barbara Plank; Héctor Martínez Alonso; Anders Søgaard (HLT-NAACL, 2015)

Personality Traits on Twitter - or - How to Get 1, 500 Personality Tests in a Week. - Barbara Plank; Dirk Hovy (WASSA@EMNLP, 2015)

User Review Sites as a Resource for Large-Scale Sociolinguistic Studies. - Dirk Hovy; Anders Johannsen; Anders Søgaard (WWW, 2015)

Putting Sarcasm Detection into Context: The Effects of Class Imbalance and Manual Labelling on Supervised Machine Classification of Twitter Conversations. - Gavin Abercrombie; Dirk Hovy (ACL (Student Research Workshop), 2016)

The Enemy in Your Own Camp: How Well Can We Detect Statistically-Generated Fake Reviews - An Adversarial Study. - Dirk Hovy (ACL (2), 2016)

The Social Impact of Natural Language Processing. - Dirk Hovy; Shannon L. Spruit (ACL (2), 2016)

Exploring Language Variation Across Europe - A Web-based Tool for Computational Sociolinguistics. - Dirk Hovy; Anders Johannsen (LREC, 2016)

Learning a POS tagger for AAVE-like language. - Anna Jørgensen; Dirk Hovy; Anders Søgaard (HLT-NAACL, 2016)

Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter. - Zeerak Waseem; Dirk Hovy (SRW@HLT-NAACL, 2016)

SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM). - Nathan Schneider 001; Dirk Hovy; Anders Johannsen; Marine Carpuat (SemEval@NAACL-HLT, 2016)

Huntsville, hospitals, and hockey teams: Names can reveal your location. - Bahar Salehi; Dirk Hovy; Eduard H. Hovy; Anders Søgaard (NUT@EMNLP, 2017)

Multitask Learning for Mental Health Conditions with Limited Social Media Data. - Adrian Benton; Margaret Mitchell; Dirk Hovy (EACL (1), 2017)

End-to-End Information Extraction without Token-Level Supervision. - Rasmus Berg Palm; Dirk Hovy; Florian Laws; Ole Winther (SCNLP@EMNLP 2017, 2017)

Multi-Task Learning for Mental Health using Social Media Text. - Adrian Benton; Margaret Mitchell; Dirk Hovy (CoRR, 2017)

The Social and the Neural Network: How to Make Natural Language Processing about People again. - Dirk Hovy (PEOPLES@NAACL-HTL, 2018)

Improving Author Attribute Prediction by Retrofitting Linguistic Representations with Homophily. - Dirk Hovy; Tommaso Fornaciari (EMNLP, 2018)

Capturing Regional Variation with Distributed Place Representations and Geographic Retrofitting. - Dirk Hovy; Christoph Purschke (EMNLP, 2018)

Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning. - Sotiris Lamprinidis; Daniel Hardt; Dirk Hovy (EMNLP, 2018)

Comparing Bayesian Models of Annotation. - Silviu Paun; Bob Carpenter; Jon Chamberlain; Dirk Hovy; Udo Kruschwitz; Massimo Poesio (Trans. Assoc. Comput. Linguistics, 2018)

Geolocation with Attention-Based Multitask Learning Models. - Tommaso Fornaciari; Dirk Hovy (W-NUT@EMNLP, 2019)

Dense Node Representation for Geolocation. - Tommaso Fornaciari; Dirk Hovy (W-NUT@EMNLP, 2019)

Identifying Linguistic Areas for Geolocation. - Tommaso Fornaciari; Dirk Hovy (W-NUT@EMNLP, 2019)

Hey Siri. Ok Google. Alexa: A topic modeling of user reviews for smart speakers. - Hanh Nguyen; Dirk Hovy (W-NUT@EMNLP, 2019)

Recognizing and Reducing Bias in NLP Applications. - Dirk Hovy (CLiC-it, 2019)

Integrating Ethics into the NLP Curriculum. - Emily M. Bender; Dirk Hovy; Alexandra Schofield (ACL (tutorial), 2020)

"You Sound Just Like Your Father" Commercial Machine Translation Systems Include Stylistic Biases. - Dirk Hovy; Federico Bianchi 001; Tommaso Fornaciari (ACL, 2020)

Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview. - Deven Shah; H. Andrew Schwartz; Dirk Hovy (ACL, 2020)

Helpful or Hierarchical? Predicting the Communicative Strategies of Chat Participants, and their Impact on Success. - Farzana Rashid; Tommaso Fornaciari; Dirk Hovy; Eduardo Blanco 002; Fernando Vega-Redondo (EMNLP (Findings), 2020)

A Case for Soft Loss Functions. - Alexandra Uma; Tommaso Fornaciari; Dirk Hovy; Silviu Paun; Barbara Plank; Massimo Poesio (HCOMP, 2020)

A Report on the VarDial Evaluation Campaign 2020. - Mihaela Gaman; Dirk Hovy; Radu Tudor Ionescu; Heidi Jauhiainen; Tommi Jauhiainen; Krister Lindén; Nikola Ljubesic; Niko Partanen; Christoph Purschke; Yves Scherrer; Marcos Zampieri (VarDial@COLING, 2020)

What the [MASK]? Making Sense of Language-Specific BERT Models. - Debora Nozza; Federico Bianchi 001; Dirk Hovy (CoRR, 2020)

On the Gap between Adoption and Understanding in NLP. - Federico Bianchi 001; Dirk Hovy (ACL/IJCNLP (Findings), 2021)

Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence. - Federico Bianchi 001; Silvia Terragni; Dirk Hovy (ACL/IJCNLP (2), 2021)

"We will Reduce Taxes" - Identifying Election Pledges with Language Models. - Tommaso Fornaciari; Dirk Hovy; Elin Naurin; Julia Runeson; Robert Thomson 005; Pankaj Adhikari (ACL/IJCNLP (Findings), 2021)

Cross-lingual Contextualized Topic Models with Zero-shot Learning. - Federico Bianchi 001; Silvia Terragni; Dirk Hovy; Debora Nozza; Elisabetta Fersini (EACL, 2021)

BERTective: Language Models and Contextual Information for Deception Detection. - Tommaso Fornaciari; Federico Bianchi 001; Massimo Poesio; Dirk Hovy (EACL, 2021)

Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning. - Tommaso Fornaciari; Alexandra Uma; Silviu Paun; Barbara Plank; Dirk Hovy; Massimo Poesio (NAACL-HLT, 2021)

The Importance of Modeling Social Factors of Language: Theory and Practice. - Dirk Hovy; Diyi Yang (NAACL-HLT, 2021)

HONEST: Measuring Hurtful Sentence Completion in Language Models. - Debora Nozza; Federico Bianchi 001; Dirk Hovy (NAACL-HLT, 2021)

FEEL-IT: Emotion and Sentiment Classification for the Italian Language. - Federico Bianchi 001; Debora Nozza; Dirk Hovy (WASSA@EACL, 2021)

MilaNLP @ WASSA: Does BERT Feel Sad When You Cry? - Tommaso Fornaciari; Federico Bianchi 001; Debora Nozza; Dirk Hovy (WASSA@EACL, 2021)

Universal Joy A Data Set and Results for Classifying Emotions Across Languages. - Sotiris Lamprinidis; Federico Bianchi 001; Daniel Hardt; Dirk Hovy (WASSA@EACL, 2021)

Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling. - Emily Dinan; Gavin Abercrombie; A. Stevie Bergman; Shannon L. Spruit; Dirk Hovy; Y-Lan Boureau; Verena Rieser (CoRR, 2021)

Language Invariant Properties in Natural Language Processing. - Federico Bianchi 001; Debora Nozza; Dirk Hovy (CoRR, 2021)

Learning from Disagreement: A Survey. - Alexandra Uma; Tommaso Fornaciari; Dirk Hovy; Silviu Paun; Barbara Plank; Massimo Poesio (J. Artif. Intell. Res., 2021)

Five sources of bias in natural language processing. - Dirk Hovy; Shrimai Prabhumoye (Lang. Linguistics Compass, 2021)

Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists. - Giuseppe Attanasio; Debora Nozza; Dirk Hovy; Elena Baralis (ACL (Findings), 2022)

SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems. - Emily Dinan; Gavin Abercrombie; A. Stevie Bergman; Shannon L. Spruit; Dirk Hovy; Y-Lan Boureau; Verena Rieser (ACL (1), 2022)

Hard and Soft Evaluation of NLP models with BOOtSTrap SAmpling - BooStSa. - Tommaso Fornaciari; Alexandra Uma; Massimo Poesio; Dirk Hovy (ACL (demo), 2022)

Welcome to the Modern World of Pronouns: Identity-Inclusive Natural Language Processing beyond Gender. - Anne Lauscher; Archie Crowley; Dirk Hovy (COLING, 2022)

Twitter-Demographer: A Flow-based Tool to Enrich Twitter Data. - Federico Bianchi 001; Vincenzo Cutrona; Dirk Hovy (EMNLP (Demos), 2022)

"It's Not Just Hate": A Multi-Dimensional Perspective on Detecting Harmful Speech Online. - Federico Bianchi 001; Stefanie Anja Hills; Patrícia G. C. Rossini; Dirk Hovy; Rebekah Tromble; Nava Tintarev (EMNLP, 2022)

Bridging Fairness and Environmental Sustainability in Natural Language Processing. - Marius Hessenthaler; Emma Strubell; Dirk Hovy; Anne Lauscher (EMNLP, 2022)

SocioProbe: What, When, and Where Language Models Learn about Sociodemographics. - Anne Lauscher; Federico Bianchi 001; Samuel R. Bowman; Dirk Hovy (EMNLP, 2022)

Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages. - Paul Röttger; Debora Nozza; Federico Bianchi 001; Dirk Hovy (EMNLP, 2022)

Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals. - Debora Nozza; Federico Bianchi 001; Anne Lauscher; Dirk Hovy (LT-EDI, 2022)

Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks. - Paul Röttger; Bertie Vidgen; Dirk Hovy; Janet B. Pierrehumbert (NAACL-HLT, 2022)

Guiding the Release of Safer E2E Conversational AI through Value Sensitive Design. - A. Stevie Bergman; Gavin Abercrombie; Shannon L. Spruit; Dirk Hovy; Emily Dinan; Y-Lan Boureau; Verena Rieser (SIGDIAL, 2022)

XLM-EMO: Multilingual Emotion Prediction in Social Media Text. - Federico Bianchi 001; Debora Nozza; Dirk Hovy (WASSA@ACL, 2022)

On the Limitations of Sociodemographic Adaptation with Transformers. - Chia-Chien Hung; Anne Lauscher; Dirk Hovy; Simone Paolo Ponzetto; Goran Glavas (CoRR, 2022)

Is It Worth the (Environmental) Cost? Limited Evidence for the Benefits of Diachronic Continuous Training. - Giuseppe Attanasio; Debora Nozza; Federico Bianchi 001; Dirk Hovy (CoRR, 2022)

The State of Profanity Obfuscation in Natural Language Processing. - Debora Nozza; Dirk Hovy (CoRR, 2022)

ProSiT! Latent Variable Discovery with PROgressive SImilarity Thresholds. - Tommaso Fornaciari; Dirk Hovy; Federico Bianchi 001 (CoRR, 2022)

Gender and Age Bias in Commercial Machine Translation. - Federico Bianchi 001; Tommaso Fornaciari; Dirk Hovy; Debora Nozza (Towards Responsible Machine Translation, 2023)

What about "em"? How Commercial Machine Translation Fails to Handle (Neo-)Pronouns. - Anne Lauscher; Debora Nozza; Ehm Miltersen; Archie Crowley; Dirk Hovy (ACL (1), 2023)

The State of Profanity Obfuscation in Natural Language Processing Scientific Publications. - Debora Nozza; Dirk Hovy (ACL (Findings), 2023)

The Ecological Fallacy in Annotation: Modeling Human Label Variation goes beyond Sociodemographics. - Matthias Orlikowski; Paul Röttger; Philipp Cimiano; Dirk Hovy (ACL (2), 2023)

Can Demographic Factors Improve Text Classification? Revisiting Demographic Adaptation in the Age of Transformers. - Chia-Chien Hung; Anne Lauscher; Dirk Hovy; Simone Paolo Ponzetto; Goran Glavas (EACL (Findings), 2023)

Top-Down Influence? Predicting CEO Personality and Risk Impact from Speech Transcripts. - Kilian Theil; Dirk Hovy; Heiner Stuckenschmidt (ICWSM, 2023)

MilaNLP at SemEval-2023 Task 10: Ensembling Domain-Adapted and Regularized Pretrained Language Models for Robust Sexism Detection. - Amanda Cercas Curry; Giuseppe Attanasio; Debora Nozza; Dirk Hovy (SemEval@ACL, 2023)

Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion. - Rishav Hada; Amir Ebrahimi Fard; Sarah Shugars; Federico Bianchi 001; Patrícia G. C. Rossini; Dirk Hovy; Rebekah Tromble; Nava Tintarev (WSDM, 2023)

Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement. - Gavin Abercrombie; Verena Rieser; Dirk Hovy (CoRR, 2023)

Leveraging Social Interactions to Detect Misinformation on Social Media. - Tommaso Fornaciari; Luca Luceri; Emilio Ferrara; Dirk Hovy (CoRR, 2023)

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. - Anya Belz; Craig Thomson; Ehud Reiter; Gavin Abercrombie; Jose Maria Alonso-Moral; Mohammad Arvan; Jackie Chi Kit Cheung; Mark Cieliebak; Elizabeth Clark; Kees van Deemter; Tanvi Dinkar; Ondrej Dusek; et al. (CoRR, 2023)

The Ecological Fallacy in Annotation: Modelling Human Label Variation goes beyond Sociodemographics. - Matthias Orlikowski; Paul Röttger; Philipp Cimiano; Dirk Hovy (CoRR, 2023)

Leveraging Label Variation in Large Language Models for Zero-Shot Text Classification. - Flor Miriam Plaza del Arco; Debora Nozza; Dirk Hovy (CoRR, 2023)

How to Use Large Language Models for Text Coding: The Case of Fatherhood Roles in Public Policy Documents. - Lorenzo Lupo; Oscar Magnusson; Dirk Hovy; Elin Naurin; Lena Wängnerud (CoRR, 2023)

Know Your Audience: Do LLMs Adapt to Different Age and Education Levels? - Donya Rooein; Amanda Cercas Curry; Dirk Hovy (CoRR, 2023)

Viewpoint: Artificial Intelligence Accidents Waiting to Happen? - Federico Bianchi 001; Amanda Cercas Curry; Dirk Hovy (J. Artif. Intell. Res., 2023)

"My Answer is C": First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models. - Xinpeng Wang 003; Bolei Ma; Chengzhi Hu; Leon Weber-Genzel; Paul Röttger; Frauke Kreuter; Dirk Hovy; Barbara Plank (ACL (Findings), 2024)

Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution. - Flor Miriam Plaza del Arco; Amanda Cercas Curry; Alba Cercas Curry; Gavin Abercrombie; Dirk Hovy (ACL (1), 2024)

Classist Tools: Social Class Correlates with Performance in NLP. - Amanda Cercas Curry; Giuseppe Attanasio; Zeerak Talat; Dirk Hovy (ACL (1), 2024)

Compromesso! Italian Many-Shot Jailbreaks undermine the safety of Large Language Models. - Fabio Pernisi; Dirk Hovy; Paul Röttger (ACL (Student Research Workshop), 2024)

Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models. - Paul Röttger; Valentin Hofmann; Valentina Pyatkin; Musashi Hinck; Hannah Kirk; Hinrich Schütze; Dirk Hovy (ACL (1), 2024)

Narratives at Conflict: Computational Analysis of News Framing in Multilingual Disinformation Campaigns. - Antonina Sinelnik; Dirk Hovy (ACL (Student Research Workshop), 2024)

Beyond Flesch-Kincaid: Prompt-based Metrics Improve Difficulty Classification of Educational Texts. - Donya Rooein; Paul Röttger; Anastassia Shaitarova; Dirk Hovy (BEA, 2024)

Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directions. - Flor Miriam Plaza del Arco; Alba Curry; Amanda Cercas Curry; Dirk Hovy (LREC/COLING, 2024)

Impoverished Language Technology: The Lack of (Social) Class in NLP. - Amanda Cercas Curry; Zeerak Talat; Dirk Hovy (LREC/COLING, 2024)

DADIT: A Dataset for Demographic Classification of Italian Twitter Users and a Comparison of Prediction Methods. - Lorenzo Lupo; Paul Bose; Mahyar Habibi; Dirk Hovy; Carlo Schwarz (LREC/COLING, 2024)

Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features. - Eliana Pastor; Alkis Koudounas; Giuseppe Attanasio; Dirk Hovy; Elena Baralis (EACL (1), 2024)

Divine LLaMAs: Bias, Stereotypes, Stigmatization, and Emotion Representation of Religion in Large Language Models. - Flor Miriam Plaza del Arco; Amanda Cercas Curry; Susanna Paoli; Alba Cercas Curry; Dirk Hovy (EMNLP (Findings), 2024)

Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps. - Giuseppe Attanasio; Beatrice Savoldi; Dennis Fucci; Dirk Hovy (EMNLP, 2024)

XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models. - Paul Röttger; Hannah Kirk; Bertie Vidgen; Giuseppe Attanasio; Federico Bianchi 001; Dirk Hovy (NAACL-HLT, 2024)

Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both? - Nikita Soni 002; Niranjan Balasubramanian; H. Andrew Schwartz; Dirk Hovy (WASSA, 2024)

Comparing Human-Centered Language Modeling: Is it Better to Model Groups, Individual Traits, or Both? - Nikita Soni 002; Niranjan Balasubramanian; H. Andrew Schwartz; Dirk Hovy (CoRR, 2024)

Multilingual Speech Models for Automatic Speech Recognition Exhibit Gender Performance Gaps. - Giuseppe Attanasio; Beatrice Savoldi; Dennis Fucci; Dirk Hovy (CoRR, 2024)

Conversations as a Source for Teaching Scientific Concepts at Different Education Levels. - Donya Rooein; Dirk Hovy (CoRR, 2024)

The Call for Socially Aware Language Technologies. - Diyi Yang; Dirk Hovy; David Jurgens; Barbara Plank (CoRR, 2024)

What Can Natural Language Processing Do for Peer Review? - Ilia Kuznetsov; Osama Mohammed Afzal; Koen Dercksen; Nils Dycke; Alexander Goldberg; Tom Hope; Dirk Hovy; Jonathan K. Kummerfeld; Anne Lauscher; Kevin Leyton-Brown; Sheng Lu; Mausam; et al. (CoRR, 2024)

The Content Moderator's Dilemma: Removal of Toxic Content and Distortions to Online Discourse. - Mahyar Habibi; Dirk Hovy; Carlo Schwarz (CoRR, 2024)

SafetyPrompts: A Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety. - Paul Röttger; Fabio Pernisi; Bertie Vidgen; Dirk Hovy (AAAI, 2025)

The AI Gap: How Socioeconomic Status Affects Language Technology Interactions. - Elisa Bassignana; Amanda Cercas Curry; Dirk Hovy (ACL (1), 2025)

Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptions. - Matthias Orlikowski; Jiaxin Pei; Paul Röttger; Philipp Cimiano; David Jurgens; Dirk Hovy (ACL (1), 2025)

MSTS: A Multimodal Safety Test Suite for Vision-Language Models. - 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; et al. (CoRR, 2025)

IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance. - Paul Röttger; Musashi Hinck; Valentin Hofmann; Kobi Hackenburg; Valentina Pyatkin; Faeze Brahman; Dirk Hovy (CoRR, 2025)

Educators' Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting. - Sankalan Pal Chowdhury; Terry Jingchen Zhang; Donya Rooein; Dirk Hovy; Tanja Käser; Mrinmaya Sachan (CoRR, 2025)

Can Large Language Models Capture Human Annotator Disagreements? - Jingwei Ni; Yu Fan; Vilém Zouhar; Donya Rooein; Alexander Miserlis Hoyle; Mrinmaya Sachan; Markus Leippold; Dirk Hovy; Elliott Ash (CoRR, 2025)

Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification. - Chenfei Xiong; Jingwei Ni; Yu Fan; Vilém Zouhar; Donya Rooein; Lorena Calvo-Bartolomé; Alexander Miserlis Hoyle; Zhijing Jin 001; Mrinmaya Sachan; Markus Leippold; Dirk Hovy; Mennatallah El-Assady; et al. (CoRR, 2025)

The Pluralistic Moral Gap: Understanding Judgment and Value Differences between Humans and Large Language Models. - Giuseppe Russo; Debora Nozza; Paul Röttger; Dirk Hovy (CoRR, 2025)