Road extraction from motion cues in aerial video. - Robert Pless; David Jurgens (GIS, 2004)

The S-Space Package: An Open Source Package for Word Space Models. - David Jurgens; Keith Stevens (ACL (System Demonstrations), 2010)

HERMIT: Flexible Clustering for the SemEval-2 WSI Task. - David Jurgens; Keith Stevens (SemEval@ACL, 2010)

Measuring the Impact of Sense Similarity on Word Sense Induction. - David Jurgens; Keith Stevens (ULNLP@EMNLP, 2011)

Word Sense Induction by Community Detection. - David Jurgens (Graph-based Methods for Natural Language Processing, 2011)

Temporal Motifs Reveal the Dynamics of Editor Interactions in Wikipedia. - David Jurgens; Tsai-Ching Lu (ICWSM, 2012)

SemEval-2012 Task 2: Measuring Degrees of Relational Similarity. - David Jurgens; Saif M. Mohammad; Peter D. Turney; Keith J. Holyoak (SemEval@NAACL-HLT, 2012)

An Evaluation of Graded Sense Disambiguation using Word Sense Induction. - David Jurgens (*SEM@NAACL-HLT, 2012)

Characterizing Online Discussions in Microblogs Using Network Analysis. - Veronika Strnadova; David Jurgens; Tsai-Ching Lu (AAAI Spring Symposium: Analyzing Microtext, 2013)

Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity. - Mohammad Taher Pilehvar; David Jurgens; Roberto Navigli (ACL (1), 2013)

That's What Friends Are For: Inferring Location in Online Social Media Platforms Based on Social Relationships. - David Jurgens (ICWSM, 2013)

Embracing Ambiguity: A Comparison of Annotation Methodologies for Crowdsourcing Word Sense Labels. - David Jurgens (HLT-NAACL, 2013)

SemEval-2013 Task 13: Word Sense Induction for Graded and Non-Graded Senses. - David Jurgens; Ioannis P. Klapaftis (SemEval@NAACL-HLT, 2013)

SemEval-2013 Task 12: Multilingual Word Sense Disambiguation. - Roberto Navigli; David Jurgens; Daniele Vannella (SemEval@NAACL-HLT, 2013)

Twitter Users #CodeSwitch Hashtags! #MoltoImportante #wow. - David Jurgens; Stefan Dimitrov; Derek Ruths (CodeSwitch@EMNLP, 2014)

Validating and Extending Semantic Knowledge Bases using Video Games with a Purpose. - Daniele Vannella; David Jurgens; Daniele Scarfini; Domenico Toscani; Roberto Navigli (ACL (1), 2014)

Geotagging one hundred million Twitter accounts with total variation minimization. - Ryan Compton 001; David Jurgens; David Allen (IEEE BigData, 2014)

An analysis of ambiguity in word sense annotations. - David Jurgens (LREC, 2014)

SemEval-2014 Task 3: Cross-Level Semantic Similarity. - David Jurgens; Mohammad Taher Pilehvar; Roberto Navigli (SemEval@COLING, 2014)

It's All Fun and Games until Someone Annotates: Video Games with a Purpose for Linguistic Annotation. - David Jurgens; Roberto Navigli (Trans. Assoc. Comput. Linguistics, 2014)

Making the Most of It: Word Sense Annotation and Disambiguation in the Face of Data Sparsity and Ambiguity. - David Jurgens (2014)

Evaluating Learning Language Representations. - Jussi Karlgren; Jimmy Callin; Kevyn Collins-Thompson; Amaru Cuba Gyllensten; Ariel Ekgren; David Jurgens; Anna Korhonen; Fredrik Olsson; Magnus Sahlgren; Hinrich Schütze (CLEF, 2015)

Mr. Bennet, his coachman, and the Archbishop walk into a bar but only one of them gets recognized: On The Difficulty of Detecting Characters in Literary Texts. - Hardik Vala; David Jurgens; Andrew Piper; Derek Ruths (EMNLP, 2015)

Geolocation Prediction in Twitter Using Social Networks: A Critical Analysis and Review of Current Practice. - David Jurgens; Tyler Finethy; James McCorriston; Yi Tian Xu; Derek Ruths (ICWSM, 2015)

An Analysis of Exercising Behavior in Online Populations. - David Jurgens; James McCorriston; Derek Ruths (ICWSM, 2015)

Organizations Are Users Too: Characterizing and Detecting the Presence of Organizations on Twitter. - James McCorriston; David Jurgens; Derek Ruths (ICWSM, 2015)

Reserating the awesometastic: An automatic extension of the WordNet taxonomy for novel terms. - David Jurgens; Mohammad Taher Pilehvar (HLT-NAACL, 2015)

Reading Between the Lines: Overcoming Data Sparsity for Accurate Classification of Lexical Relationships. - Silvia Necsulescu; Sara Mendes; David Jurgens; Núria Bel; Roberto Navigli (*SEM@NAACL-HLT, 2015)

User Migration in Online Social Networks: A Case Study on Reddit During a Period of Community Unrest. - Edward Newell; David Jurgens; Haji Mohammad Saleem; Hardik Vala; Jad Sassine; Caitrin Armstrong; Derek Ruths (ICWSM, 2016)

Annotating Characters in Literary Corpora: A Scheme, the CHARLES Tool, and an Annotated Novel. - Hardik Vala; Stefan Dimitrov; David Jurgens; Andrew Piper; Derek Ruths (LREC, 2016)

SemEval-2016 Task 14: Semantic Taxonomy Enrichment. - David Jurgens; Mohammad Taher Pilehvar (SemEval@NAACL-HLT, 2016)

Citation Classification for Behavioral Analysis of a Scientific Field. - David Jurgens; Srijan Kumar; Raine Hoover; Daniel A. McFarland; Dan Jurafsky (CoRR, 2016)

Semi-supervised Learning with Induced Word Senses for State of the Art Word Sense Disambiguation. - Osman Baskaya; David Jurgens (J. Artif. Intell. Res., 2016)

Cross level semantic similarity: an evaluation framework for universal measures of similarity. - David Jurgens; Mohammad Taher Pilehvar; Roberto Navigli (Lang. Resour. Evaluation, 2016)

Incorporating Dialectal Variability for Socially Equitable Language Identification. - David Jurgens; Yulia Tsvetkov; Dan Jurafsky (ACL (2), 2017)

An Analysis of Individuals' Behavior Change in Online Groups. - David Jurgens; James McCorriston; Derek Ruths (SocInfo (1), 2017)

Writer Profiling Without the Writer's Text. - David Jurgens; Yulia Tsvetkov; Dan Jurafsky (SocInfo (2), 2017)

It's going to be okay: Measuring Access to Support in Online Communities. - Zijian Wang 002; David Jurgens (EMNLP, 2018)

RtGender: A Corpus for Studying Differential Responses to Gender. - Rob Voigt; David Jurgens; Vinodkumar Prabhakaran; Dan Jurafsky; Yulia Tsvetkov (LREC, 2018)

Measuring the Evolution of a Scientific Field through Citation Frames. - David Jurgens; Srijan Kumar; Raine Hoover; Daniel A. McFarland; Dan Jurafsky (Trans. Assoc. Comput. Linguistics, 2018)

A Just and Comprehensive Strategy for Using NLP to Address Online Abuse. - David Jurgens; Libby Hemphill; Eshwar Chandrasekharan (ACL (1), 2019)

Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Code-switching Behavior in Nigerian Online Discussions. - Innocent Ndubuisi-Obi; Sayan Ghosh 004; David Jurgens (ACL (1), 2019)

Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts. - Luke Breitfeller; Emily P. Ahn; David Jurgens; Yulia Tsvetkov (EMNLP/IJCNLP (1), 2019)

Smart, Responsible, and Upper Caste Only: Measuring Caste Attitudes through Large-Scale Analysis of Matrimonial Profiles. - Ashwin Rajadesingan; Ramaswami Mahalingam; David Jurgens (ICWSM, 2019)

Perceptions of Social Roles Across Cultures. - MeiXing Dong; David Jurgens; Carmen Banea; Rada Mihalcea (SocInfo, 2019)

Are All Successful Communities Alike? Characterizing and Predicting the Success of Online Communities. - Tiago Cunha; David Jurgens; Chenhao Tan; Daniel M. Romero (WWW, 2019)

Demographic Inference and Representative Population Estimates from Multilingual Social Media Data. - Zijian Wang 002; Scott A. Hale; David Ifeoluwa Adelani; Przemyslaw A. Grabowicz; Timo Hartmann; Fabian Flöck; David Jurgens (WWW, 2019)

Quantifying Intimacy in Language. - Jiaxin Pei; David Jurgens (EMNLP (1), 2020)

Condolence and Empathy in Online Communities. - Naitian Zhou; David Jurgens (EMNLP (1), 2020)

Still out there: Modeling and Identifying Russian Troll Accounts on Twitter. - Jane Im; Eshwar Chandrasekharan; Jackson Sargent; Paige Lighthammer; Taylor Denby; Ankit Bhargava; Libby Hemphill; David Jurgens; Eric Gilbert (WebSci, 2020)

Author Mentions in Science News Reveal Wide-Spread Ethnic Bias. - Hao Peng 006; Misha Teplitskiy; David Jurgens (CoRR, 2020)

Audrey: A Personalized Open-Domain Conversational Bot. - Chung Hoon Hong; Yuan Liang; Sagnik Sinha Roy; Arushi Jain; Vihang Agarwal; Ryan Draves; Zhizhuo Zhou; William Chen; Yujian Liu; Martha Miracky; Lily Ge; Nikola Banovic 001; et al. (CoRR, 2020)

Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media. - Sayan Ghosh 004; Dylan K. Baker; David Jurgens; Vinodkumar Prabhakaran (W-NUT, 2021)

Using Sociolinguistic Variables to Reveal Changing Attitudes Towards Sexuality and Gender. - Sky CH-Wang; David Jurgens (EMNLP (1), 2021)

Detecting Community Sensitive Norm Violations in Online Conversations. - Chan Young Park; Julia Mendelsohn; Karthik Radhakrishnan; Kinjal Jain; Tushar Kanakagiri; David Jurgens; Yulia Tsvetkov (EMNLP (Findings), 2021)

Measuring Sentence-Level and Aspect-Level (Un)certainty in Science Communications. - Jiaxin Pei; David Jurgens (EMNLP (1), 2021)

An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog. - Xingyao Wang 002; David Jurgens (EMNLP (Findings), 2021)

Idiosyncratic but not Arbitrary: Learning Idiolects in Online Registers Reveals Distinctive yet Consistent Individual Styles. - Jian Zhu; David Jurgens (EMNLP (1), 2021)

More than Meets the Tie: Examining the Role of Interpersonal Relationships in Social Networks. - Minje Choi; Ceren Budak; Daniel M. Romero; David Jurgens (ICWSM, 2021)

Modeling Framing in Immigration Discourse on Social Media. - Julia Mendelsohn; Ceren Budak; David Jurgens (NAACL-HLT, 2021)

The structure of online social networks modulates the rate of lexical change. - Jian Zhu; David Jurgens (NAACL-HLT, 2021)

HamiltonDinggg at SemEval-2021 Task 5: Investigating Toxic Span Detection using RoBERTa Pre-training. - Huiyang Ding; David Jurgens (SemEval@ACL/IJCNLP, 2021)

Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations. - Jiajun Bao; Junjie Wu 007; Yiming Zhang; Eshwar Chandrasekharan; David Jurgens (WWW, 2021)

Cross-geographic Bias Detection in Toxicity Modeling. - Sayan Ghosh 004; Dylan K. Baker; David Jurgens; Vinodkumar Prabhakaran (CoRR, 2021)

Classification without (Proper) Representation: Political Heterogeneity in Social Media and Its Implications for Classification and Behavioral Analysis. - Kenan Alkiek; Bohan Zhang; David Jurgens (ACL (Findings), 2022)

Modeling Information Change in Science Communication with Semantically Matched Paraphrases. - Dustin Wright 001; Jiaxin Pei; David Jurgens; Isabelle Augenstein (EMNLP, 2022)

A Critical Reflection and Forward Perspective on Empathy and Natural Language Processing. - Allison Lahnala; Charles Welch; David Jurgens; Lucie Flek (EMNLP (Findings), 2022)

POTATO: The Portable Text Annotation Tool. - Jiaxin Pei; Aparna Ananthasubramaniam; Xingyao Wang 002; Naitian Zhou; Apostolos Dedeloudis; Jackson Sargent; David Jurgens (EMNLP (Demos), 2022)

Phone-to-Audio Alignment without Text: A Semi-Supervised Approach. - Jian Zhu; Cong Zhang; David Jurgens (ICASSP, 2022)

ByT5 model for massively multilingual grapheme-to-phoneme conversion. - Jian Zhu; Cong Zhang; David Jurgens (INTERSPEECH, 2022)

MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting. - Anne Lauscher; Brandon Ko; Bailey Kuehl; Sophie Johnson; Arman Cohan; David Jurgens; Kyle Lo (NAACL-HLT, 2022)

SemEval-2022 Task 8: Multilingual news article similarity. - Xi Chen; Ali Zeynali; Chico Q. Camargo; Fabian Flöck; Devin Gaffney; Przemyslaw A. Grabowicz; Scott Hale; David Jurgens; Mattia Samory (SemEval@NAACL, 2022)

Networks and Identity Drive Geographic Properties of the Diffusion of Linguistic Innovation. - Aparna Ananthasubramaniam; David Jurgens; Daniel M. Romero (CoRR, 2022)

An Attention-Based Model for Predicting Contextual Informativeness and Curriculum Learning Applications. - SungJin Nam; David Jurgens; Kevyn Collins-Thompson (CoRR, 2022)

SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis. - Jiaxin Pei; Vítor Silva 003; Maarten W. Bos; Yozon Liu; Leonardo Neves; David Jurgens; Francesco Barbieri (CoRR, 2022)

Your spouse needs professional help: Determining the Contextual Appropriateness of Messages through Modeling Social Relationships. - David Jurgens; Agrima Seth; Jackson Sargent; Athena Aghighi; Michael Geraci (ACL (1), 2023)

Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark. - Minje Choi; Jiaxin Pei; Sagar Kumar; Chang Shu; David Jurgens (EMNLP, 2023)

When it Rains, it Pours: Modeling Media Storms and the News Ecosystem. - Benjamin Litterer; David Jurgens; Dallas Card (EMNLP (Findings), 2023)

Analyzing the Engagement of Social Relationships during Life Event Shocks in Social Media. - Minje Choi; David Jurgens; Daniel M. Romero (ICWSM, 2023)

Bridging Nations: Quantifying the Role of Multilinguals in Communication on Social Media. - Julia Mendelsohn; Sayan Ghosh 004; David Jurgens; Ceren Budak (ICWSM, 2023)

SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis. - Jiaxin Pei; Vítor Silva 003; Maarten W. Bos; Yozen Liu; Leonardo Neves; David Jurgens; Francesco Barbieri (SemEval@ACL, 2023)

When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset. - Jiaxin Pei; David Jurgens (CoRR, 2023)

Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics. - Aparna Ananthasubramaniam; Hong Chen; Jason Yan; Kenan Alkiek; Jiaxin Pei; Agrima Seth; Lavinia Dunagan; Minje Choi; Benjamin Litterer; David Jurgens (CoRR, 2023)

You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments. - Bangzhao Shu; Lechen Zhang; Minje Choi; Lavinia Dunagan; Dallas Card; David Jurgens (CoRR, 2023)

Aligning with Whom? Large Language Models Have Gender and Racial Biases in Subjective NLP Tasks. - Huaman Sun; Jiaxin Pei; Minje Choi; David Jurgens (CoRR, 2023)

Is "A Helpful Assistant" the Best Role for Large Language Models? A Systematic Evaluation of Social Roles in System Prompts. - Mingqian Zheng; Jiaxin Pei; David Jurgens (CoRR, 2023)

RCT Rejection Sampling for Causal Estimation Evaluation. - Katherine A. Keith; Sergey Feldman; David Jurgens; Jonathan Bragg; Rohit Bhattacharya (Trans. Mach. Learn. Res., 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Finding Educationally Supportive Contexts for Vocabulary Learning with Attention-Based Models. - Sungjin Nam; Kevyn Collins-Thompson; David Jurgens; Xin Tong (LREC/COLING, 2024)

Tab2Text - A framework for deep learning with tabular data. - Tong Lin 005; Jason Yan; David Jurgens; Sabina Tomkins (EMNLP (Findings), 2024)

ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions. - Chan Young Park; Shuyue Stella Li; Hayoung Jung; Svitlana Volkova; Tanushree Mitra; David Jurgens; Yulia Tsvetkov (EMNLP (Findings), 2024)

The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI. - Miriam Schirmer; Tobias Leemann; Gjergji Kasneci; Jürgen Pfeffer; David Jurgens (EMNLP (Findings), 2024)

When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models. - Mingqian Zheng; Jiaxin Pei; Lajanugen Logeswaran; Moontae Lee; David Jurgens (EMNLP (Findings), 2024)

A Multilingual Similarity Dataset for News Article Frame. - Xi Chen; Mattia Samory; Scott Hale; David Jurgens; Przemyslaw A. Grabowicz (ICWSM, 2024)

You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments. - Bangzhao Shu; Lechen Zhang; Minje Choi; Lavinia Dunagan; Lajanugen Logeswaran; Moontae Lee; Dallas Card; David Jurgens (NAACL-HLT, 2024)

Modeling Empathetic Alignment in Conversation. - Jiamin Yang; David Jurgens (NAACL-HLT, 2024)

Social Meme-ing: Measuring Linguistic Variation in Memes. - Naitian Zhou; David Jurgens; David Bamman (NAACL-HLT, 2024)

Can Large Language Model Agents Simulate Human Trust Behavior? - Chengxing Xie; Canyu Chen; Feiran Jia; Ziyu Ye; Shiyang Lai; Kai Shu; Jindong Gu; Adel Bibi; Ziniu Hu; David Jurgens; James Evans; Philip Torr 001; et al. (NeurIPS, 2024)

Global News Synchrony and Diversity During the Start of the COVID-19 Pandemic. - Xi Chen; Scott A. Hale; David Jurgens; Mattia Samory; Ethan Zuckerman; Przemyslaw A. Grabowicz (WWW, 2024)

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

Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions. - Hua Shen 005; Tiffany Knearem; Reshmi Ghosh; Kenan Alkiek; Kundan Krishna; Yachuan Liu; Ziqiao Ma 001; Savvas Petridis; Yi-Hao Peng; Li Qiwei; Sushrita Rakshit; Chenglei Si; et al. (CoRR, 2024)

The Role of Network and Identity in the Diffusion of Hashtags. - Aparna Ananthasubramaniam; Yufei 'Louise' Zhu; David Jurgens; Daniel M. Romero (CoRR, 2024)

Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue. - Jonathan Ivey; Shivani Kumar; Jiayu Liu; Hua Shen 005; Sushrita Rakshit; Rohan Raju; Haotian Zhang; Aparna Ananthasubramaniam; Junghwan Kim; Bowen Yi; Dustin Wright 001; Abraham Israeli; et al. (CoRR, 2024)

SPRIG: Improving Large Language Model Performance by System Prompt Optimization. - Lechen Zhang; Tolga Ergen; Lajanugen Logeswaran; Moontae Lee; David Jurgens (CoRR, 2024)

A Test of Time: Predicting the Sustainable Success of Online Collaboration in Wikipedia. - Abraham Israeli; David Jurgens; Daniel M. Romero (CoRR, 2024)

Author mentions in science news reveal widespread disparities across name-inferred ethnicities. - Hao Peng 006; Misha Teplitskiy; David Jurgens (Quant. Sci. Stud., 2024)

Profile update: the effects of identity disclosure on network connections and language. - Minje Choi; Daniel M. Romero; David Jurgens (EPJ Data Sci., 2024)

The Noisy Path from Source to Citation: Measuring How Scholars Engage with Past Research. - Hong Chen; Misha Teplitskiy; David Jurgens (ACL (1), 2025)

The Million Authors Corpus: A Cross-Lingual and Cross-Domain Wikipedia Dataset for Authorship Verification. - Abraham Israeli; Shuai Liu; Jonathan May; David Jurgens (ACL (Findings), 2025)

Are Rules Meant to be Broken? Understanding Multilingual Moral Reasoning as a Computational Pipeline with UniMoral. - Shivani Kumar; David Jurgens (ACL (1), 2025)

Coordinating Chaos: A Structured Review of Linguistic Coordination Methodologies. - Benjamin Roger Litterer; David Jurgens; Dallas Card (ACL (1), 2025)

Mapping the Podcast Ecosystem with the Structured Podcast Research Corpus. - Benjamin Roger Litterer; David Jurgens; Dallas Card (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)

Tokenization is Sensitive to Language Variation. - Anna Wegmann; Dong Nguyen 002; David Jurgens (ACL (Findings), 2025)

Who Reaps All the Superchats? A Large-Scale Analysis of Income Inequality in Virtual YouTuber Livestreaming. - Ruijing Zhao; Brian Diep; Jiaxin Pei; Dongwook Yoon; David Jurgens; Jian Zhu (CHI, 2025)

Sociodemographic Prompting is Not Yet an Effective Approach for Simulating Subjective Judgments with LLMs. - Huaman Sun; Jiaxin Pei; Minje Choi; David Jurgens (NAACL (Short Papers), 2025)

Causally Modeling the Linguistic and Social Factors that Predict Email Response. - Yinuo Xu; Hong Chen; Sushrita Rakshit; Aparna Ananthasubramaniam; Omkar Yadav; Mingqian Zheng; Michael Jiang; Lechen Zhang; Bowen Yi; Kenan Alkiek; Abraham Israeli; Bangzhao Shu; et al. (NAACL (Long Papers), 2025)

Roles of Network and Identity in Hashtag Diffusion. - Aparna Ananthasubramaniam; Yufei 'Louise' Zhu; David Jurgens; Daniel M. Romero (WWW, 2025)

The Muddy Waters of Modeling Empathy in Language: The Practical Impacts of Theoretical Constructs. - Allison Lahnala; Charles Welch; David Jurgens; Lucie Flek (CoRR, 2025)

Unstructured Evidence Attribution for Long Context Query Focused Summarization. - Dustin Wright 001; Zain Muhammad Mujahid; Lu Wang 008; Isabelle Augenstein; David Jurgens (CoRR, 2025)

Neurobiber: Fast and Interpretable Stylistic Feature Extraction. - Kenan Alkiek; Anna Wegmann; Jian Zhu; David Jurgens (CoRR, 2025)

Evaluation Framework for AI Systems in "the Wild". - Sarah Jabbour; Trenton Chang; Anindya Das Antar; Joseph Peper; Insu Jang; Jiachen Liu; Jae-Won Chung; Shiqi He; Michael P. Wellman; Bryan Goodman; Elizabeth Bondi-Kelly; Kevin Samy; et al. (CoRR, 2025)

Are Economists Always More Introverted? Analyzing Consistency in Persona-Assigned LLMs. - Manon Reusens; Bart Baesens; David Jurgens (CoRR, 2025)

The Impact of Generative AI on Social Media: An Experimental Study. - Anders Giovanni Møller; Daniel M. Romero; David Jurgens; Luca Maria Aiello (CoRR, 2025)

Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation Framework. - Mohna Chakraborty; Lu Wang 008; David Jurgens (CoRR, 2025)

Modeling Public Perceptions of Science in Media. - Jiaxin Pei; Dustin Wright 001; Isabelle Augenstein; David Jurgens (CoRR, 2025)

NUTMEG: Separating Signal From Noise in Annotator Disagreement. - Jonathan Ivey; Susan Gauch; David Jurgens (CoRR, 2025)

Modeling Annotator Disagreement with Demographic-Aware Experts and Synthetic Perspectives. - Yinuo Xu; Veronica Derricks; Allison Earl; David Jurgens (CoRR, 2025)