Finite element methods for unsteady solidification problems arising in prediction of morphological structure. - Lyle H. Ungar; N. Ramprasad; R. A. Brown (J. Sci. Comput., 1988)

Automatic Rebuilding of Qualitative Models for Diagnosis. - Jonathan M. Vinson; Stephen D. Grantham; Lyle H. Ungar (IEEE Expert, 1992)

Using radial basis functions to approximate a function and its error bounds. - James A. Leonard; Mark A. Kramer; Lyle H. Ungar (IEEE Trans. Neural Networks, 1992)

SVD-NET: an algorithm that automatically selects network structure. - Dimitris C. Psichogios; Lyle H. Ungar (IEEE Trans. Neural Networks, 1994)

Active Exploration and Learning in real-Valued Spaces using Multi-Armed Bandit Allocation Indices. - Marcos Salganicoff; Lyle H. Ungar (ICML, 1995)

Dynamic process monitoring and fault diagnosis with qualitative models. - Jonathan M. Vinson; Lyle H. Ungar (IEEE Trans. Syst. Man Cybern., 1995)

Active Learning for Vision-Based Robot Grasping. - Marcos Salganicoff; Lyle H. Ungar; Ruzena Bajcsy (Mach. Learn., 1996)

Characterizing the generalization performance of model selection strategies. - Dale Schuurmans; Lyle H. Ungar; Dean P. Foster (ICML, 1997)

A non-parametric Monte Carlo technique for controller verification. - Evangelia Gazi; Warren D. Seider; Lyle H. Ungar (Autom., 1997)

Accounting for Cognitive Costs in On-Line Auction Design. - David C. Parkes; Lyle H. Ungar; Dean P. Foster (AMET, 1998)

Localizing Search in Reinforcement Learning. - Gregory Z. Grudic; Lyle H. Ungar (AAAI/IAAI, 2000)

Iterative Combinatorial Auctions: Theory and Practice. - David C. Parkes; Lyle H. Ungar (AAAI/IAAI, 2000)

Preventing Strategic Manipulation in Iterative Auctions: Proxy Agents and Price-Adjustment. - David C. Parkes; Lyle H. Ungar (AAAI/IAAI, 2000)

Clustering and Identifying Temporal Trends in Document Databases. - Alexandrin Popescul; Gary William Flake; Steve Lawrence; Lyle H. Ungar; C. Lee Giles (ADL, 2000)

Localizing Policy Gradient Estimates to Action Transition. - Gregory Z. Grudic; Lyle H. Ungar (ICML, 2000)

Efficient clustering of high-dimensional data sets with application to reference matching. - Andrew McCallum; Kamal Nigam; Lyle H. Ungar (KDD, 2000)

An auction-based method for decentralized train scheduling. - David C. Parkes; Lyle H. Ungar (Agents, 2001)

Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning. - Gregory Z. Grudic; Lyle H. Ungar (IJCAI, 2001)

Maximum entropy methods for biological sequence modeling. - Eugen C. Buehler; Lyle H. Ungar (BIOKDD, 2001)

Rates of Convergence of Performance Gradient Estimates Using Function Approximation and Bias in Reinforcement Learning. - Gregory Z. Grudic; Lyle H. Ungar (NIPS, 2001)

Pricing price information in e-commerce. - Panos M. Markopoulos; Lyle H. Ungar (EC, 2001)

Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments. - Alexandrin Popescul; Lyle H. Ungar; David M. Pennock; Steve Lawrence (UAI, 2001)

Methods and metrics for cold-start recommendations. - Andrew I. Schein; Alexandrin Popescul; Lyle H. Ungar; David M. Pennock (SIGIR, 2002)

A Generalized Linear Model for Principal Component Analysis of Binary Data. - Andrew I. Schein; Lawrence K. Saul; Lyle H. Ungar (AISTATS, 2003)

Statistical Relational Learning for Document Mining. - Alexandrin Popescul; Lyle H. Ungar; Steve Lawrence; David M. Pennock (ICDM, 2003)

Dual Pricing in Electronic Markets. - Panos M. Markopoulos; Ravi Aron; Lyle H. Ungar (ICIS, 2003)

Mixtures of Conditional Maximum Entropy Models. - Dmitry Pavlov; Alexandrin Popescul; David M. Pennock; Lyle H. Ungar (ICML, 2003)

Static and Dynamic Analysis of the Internet's Susceptibility to Faults and Attacks. - Seung-Taek Park; Alexy Khrabrov; David M. Pennock; Steve Lawrence; C. Lee Giles; Lyle H. Ungar (INFOCOM, 2003)

Using policy gradient reinforcement learning on autonomous robot controllers. - Gregory Z. Grudic; Vijay Kumar 001; Lyle H. Ungar (IROS, 2003)

Cluster-based concept invention for statistical relational learning. - Alexandrin Popescul; Lyle H. Ungar (KDD, 2004)

The CRASSS plug-in for integrating annotation data with hierarchical clustering results. - Eugen C. Buehler; Jeffrey R. Sachs; Kui Shao; Ansuman Bagchi; Lyle H. Ungar (Bioinform., 2004)

Using prior knowledge to improve genetic network reconstruction from microarray data. - Phillip P. Le; Amit Bahl; Lyle H. Ungar (Silico Biol., 2004)

Streaming Feature Selection using IIC. - Lyle H. Ungar; Jing Zhou; Dean P. Foster; Bob A. Stine (AISTATS, 2005)

Is Online Product Information Availability Driven by Quality or Differentiation? - Panos M. Markopoulos; Ravi Aron; Lyle H. Ungar (ICIS, 2005)

Streaming feature selection using alpha-investing. - Jing Zhou; Dean P. Foster; Robert A. Stine; Lyle H. Ungar (KDD, 2005)

CROC: A New Evaluation Criterion for Recommender Systems. - Andrew I. Schein; Alexandrin Popescul; Lyle H. Ungar; David M. Pennock (Electron. Commer. Res., 2005)

Iterative Combinatorial Auctions with Bidder-Determined Combinations. - Roy H. Kwon; G. Anandalingam; Lyle H. Ungar (Manag. Sci., 2005)

An Empirical Study of the Behavior of Active Learning for Word Sense Disambiguation. - Jinying Chen; Andrew I. Schein; Lyle H. Ungar; Martha Palmer (HLT-NAACL, 2006)

Automatic term list generation for entity tagging. - Ted Sandler; Andrew I. Schein; Lyle H. Ungar (Bioinform., 2006)

Streamwise Feature Selection. - Jing Zhou; Dean P. Foster; Robert A. Stine; Lyle H. Ungar (J. Mach. Learn. Res., 2006)

Extracting Product Comparisons from Discussion Boards. - Ronen Feldman; Moshe Fresko; Jacob Goldenberg; Oded Netzer; Lyle H. Ungar (ICDM, 2007)

Active learning for logistic regression: an evaluation. - Andrew I. Schein; Lyle H. Ungar (Mach. Learn., 2007)

Protein-Protein Interaction Network Alignment by Quantitative Simulation. - Perry Evans; Ted Sandler; Lyle H. Ungar (BIBM, 2008)

Multiway Clustering for Creating Biomedical Term Sets. - Vasileios Kandylas; Lyle H. Ungar; Ted Sandler; Shane T. Jensen (BIBM, 2008)

Using sequence classification for filtering web pages. - Binyamin Rosenfeld; Ronen Feldman; Lyle H. Ungar (CIKM, 2008)

Web-scale named entity recognition. - Casey Whitelaw; Alexander Kehlenbeck; Nemanja Petrovic; Lyle H. Ungar (CIKM, 2008)

Efficient Feature Selection in the Presence of Multiple Feature Classes. - Paramveer S. Dhillon; Dean P. Foster; Lyle H. Ungar (ICDM, 2008)

Regularized Learning with Networks of Features. - Ted Sandler; John Blitzer; Partha Pratim Talukdar; Lyle H. Ungar (NIPS, 2008)

A model of market power and efficiency in private electronic exchanges. - Ravi Aron; Lyle H. Ungar; Annapurna Valluri (Eur. J. Oper. Res., 2008)

Finding cohesive clusters for analyzing knowledge communities. - Vasileios Kandylas; S. Phineas Upham; Lyle H. Ungar (Knowl. Inf. Syst., 2008)

Transfer Learning, Feature Selection and Word Sense Disambiguation. - Paramveer S. Dhillon; Lyle H. Ungar (ACL/IJCNLP (2), 2009)

Resolving Identity Uncertainty with Learned Random Walks. - Ted Sandler; Lyle H. Ungar; Koby Crammer (ICDM, 2009)

Efficient Clustering of Web-Derived Data Sets. - Luís Sarmento; Alexander Kehlenbeck; Eugénio C. Oliveira; Lyle H. Ungar (MLDM, 2009)

An Approach to Web-Scale Named-Entity Disambiguation. - Luís Sarmento; Alexander Kehlenbeck; Eugénio C. Oliveira; Lyle H. Ungar (MLDM, 2009)

Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC). - Paramveer S. Dhillon; Brian Tomasik; Dean P. Foster; Lyle H. Ungar (ECML/PKDD (1), 2009)

A predictive model for identifying mini-regulatory modules in the mouse genome. - Mahesh Yaragatti; Ted Sandler; Lyle H. Ungar (Bioinform., 2009)

Transfer Learning Using Feature Selection - Paramveer S. Dhillon; Dean P. Foster; Lyle H. Ungar (CoRR, 2009)

A New Approach to Lexical Disambiguation of Arabic Text. - Rushin Shah; Paramveer S. Dhillon; Mark Y. Liberman; Dean P. Foster; Mohamed Maamouri; Lyle H. Ungar (EMNLP, 2010)

Discovery of significant emerging trends. - Saurabh Goorha; Lyle H. Ungar (KDD, 2010)

Information markets for product attributes: A game theoretic, dual pricing mechanism. - Panos M. Markopoulos; Ravi Aron; Lyle H. Ungar (Decis. Support Syst., 2010)

Feature Selection using Multiple Streams. - Paramveer S. Dhillon; Dean P. Foster; Lyle H. Ungar (AISTATS, 2010)

Dementia induces correlated reductions in white matter integrity and cortical thickness: A multivariate neuroimaging study with sparse canonical correlation analysis. - Brian B. Avants; Philip A. Cook; Lyle H. Ungar; James C. Gee; Murray Grossman (NeuroImage, 2010)

Innovating knowledge communities - An analysis of group collaboration and competition in science and technology. - S. Phineas Upham; Lori Rosenkopf; Lyle H. Ungar (Scientometrics, 2010)

Positioning knowledge: schools of thought and new knowledge creation. - S. Phineas Upham; Lori Rosenkopf; Lyle H. Ungar (Scientometrics, 2010)

Analyzing knowledge communities using foreground and background clusters. - Vasileios Kandylas; S. Phineas Upham; Lyle H. Ungar (ACM Trans. Knowl. Discov. Data, 2010)

Multi-View Learning of Word Embeddings via CCA. - Paramveer S. Dhillon; Dean P. Foster; Lyle H. Ungar (NIPS, 2011)

A system for de-identifying medical message board text. - Adrian Benton; Shawndra Hill; Lyle H. Ungar; Annie Chung; Charles E. Leonard; Cristin Freeman; John H. Holmes (BMC Bioinform., 2011)

Identifying potential adverse effects using the web: A new approach to medical hypothesis generation. - Adrian Benton; Lyle H. Ungar; Shawndra Hill; Sean Hennessy; Jun Mao; Annie Chung; Charles E. Leonard; John H. Holmes (J. Biomed. Informatics, 2011)

Minimum Description Length Penalization for Group and Multi-Task Sparse Learning. - Paramveer S. Dhillon; Dean P. Foster; Lyle H. Ungar (J. Mach. Learn. Res., 2011)

The Good Judgment Project: A Large Scale Test of Different Methods of Combining Expert Predictions. - Lyle H. Ungar; Barbara A. Mellers; Ville Satopää; Philip Tetlock; Jon Baron (AAAI Fall Symposium: Machine Aggregation of Human Judgment, 2012)

Spectral Learning of Latent-Variable PCFGs. - Shay B. Cohen; Karl Stratos; Michael Collins 001; Dean P. Foster; Lyle H. Ungar (ACL (1), 2012)

New Insights from Coarse Word Sense Disambiguation in the Crowd. - Adam Kapelner; Krishna Kaliannan; Hansen Andrew Schwartz; Lyle H. Ungar; Dean P. Foster (COLING (Posters), 2012)

Improving Supervised Sense Disambiguation with Web-Scale Selectors. - Hansen Andrew Schwartz; Fernando Gomez; Lyle H. Ungar (COLING, 2012)

Spectral Dependency Parsing with Latent Variables. - Paramveer S. Dhillon; Jordan Rodu; Michael Collins 001; Dean P. Foster; Lyle H. Ungar (EMNLP-CoNLL, 2012)

Using CCA to improve CCA: A new spectral method for estimating vector models of words. - Paramveer S. Dhillon; Jordan Rodu; Dean P. Foster; Lyle H. Ungar (ICML, 2012)

Partial sparse canonical correlation analysis (PSCCA) for population studies in medical imaging. - Paramveer S. Dhillon; Brian B. Avants; Lyle H. Ungar; James C. Gee (ISBI, 2012)

Penn: Using Word Similarities to better Estimate Sentence Similarity. - Sneha Jha; Hansen Andrew Schwartz; Lyle H. Ungar (SemEval@NAACL-HLT, 2012)

medpie: an information extraction package for medical message board posts. - Adrian Benton; John H. Holmes; Shawndra Hill; Annie Chung; Lyle H. Ungar (Bioinform., 2012)

Spectral dimensionality reduction for HMMs - Dean P. Foster; Jordan Rodu; Lyle H. Ungar (CoRR, 2012)

Extracting templates from radiology reports using sequence alignment. - Shengyang Wu; Curtis P. Langlotz; Paras Lakhani; Lyle H. Ungar (Int. J. Data Min. Bioinform., 2012)

Toward Personality Insights from Language Exploration in Social Media. - H. Andrew Schwartz; Johannes C. Eichstaedt; Lukasz Dziurzynski; Margaret L. Kern; Eduardo Blanco 002; Michal Kosinski; David Stillwell; Martin E. P. Seligman; Lyle H. Ungar (AAAI Spring Symposium: Analyzing Microtext, 2013)

How do Infomediaries affect firms' information strategies, and how do they impact buyer and social welfare? - Panos M. Markopoulos; Ravi Aron; Lyle H. Ungar (ICIS, 2013)

Characterizing Geographic Variation in Well-Being Using Tweets. - H. Andrew Schwartz; Johannes C. Eichstaedt; Margaret L. Kern; Lukasz Dziurzynski; Richard E. Lucas; Megha Agrawal; Gregory J. Park; Shrinidhi K. Lakshmikanth; Sneha Jha; Martin E. P. Seligman; Lyle H. Ungar (ICWSM, 2013)

Spectral Learning Algorithms for Natural Language Processing. - Shay B. Cohen; Michael Collins 001; Dean P. Foster; Karl Stratos; Lyle H. Ungar (HLT-NAACL, 2013)

Experiments with Spectral Learning of Latent-Variable PCFGs. - Shay B. Cohen; Karl Stratos; Michael Collins 001; Dean P. Foster; Lyle H. Ungar (HLT-NAACL, 2013)

New Subsampling Algorithms for Fast Least Squares Regression. - Paramveer S. Dhillon; Yichao Lu; Dean P. Foster; Lyle H. Ungar (NIPS, 2013)

Faster Ridge Regression via the Subsampled Randomized Hadamard Transform. - Yichao Lu; Paramveer S. Dhillon; Dean P. Foster; Lyle H. Ungar (NIPS, 2013)

Anatomically-Constrained PCA for Image Parcellation. - Paramveer S. Dhillon; James C. Gee; Lyle H. Ungar; Brian B. Avants (PRNI, 2013)

The Marketcast Method for Aggregating Prediction Market Forecasts. - Pavel Atanasov; Phillip Rescober; Eric Stone; Emile Servan-Schreiber; Barbara A. Mellers; Philip Tetlock; Lyle H. Ungar (SBP, 2013)

Using Regression for Spectral Estimation of HMMs. - Jordan Rodu; Dean P. Foster; Weichen Wu; Lyle H. Ungar (SLSP, 2013)

Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach. - H. Andrew Schwartz; Johannes C. Eichstaedt; Eduardo Blanco 002; Lukasz Dziurzynski; Margaret L. Kern; Stephanie Ramones; Martin E. P. Seligman; Lyle H. Ungar (*SEM@NAACL-HLT, 2013)

Lessons Learned About Public Health from Online Crowd Surveillance. - Shawndra Hill; Raina M. Merchant; Lyle H. Ungar (Big Data, 2013)

A risk comparison of ordinary least squares vs ridge regression. - Paramveer S. Dhillon; Dean P. Foster; Sham M. Kakade; Lyle H. Ungar (J. Mach. Learn. Res., 2013)

Towards Assessing Changes in Degree of Depression through Facebook. - H. Andrew Schwartz; Johannes C. Eichstaedt; Margaret L. Kern; Gregory J. Park; Maarten Sap; David Stillwell; Michal Kosinski; Lyle H. Ungar (CLPsych@ACL, 2014)

Analyzing Product Comparisons on Discussion Boards. - Ronen Feldman; Moshe Fresko; Jacob Goldenberg; Oded Netzer; Lyle H. Ungar (Language, Culture, Computation (1), 2014)

Developing Age and Gender Predictive Lexica over Social Media. - Maarten Sap; Gregory J. Park; Johannes C. Eichstaedt; Margaret L. Kern; David Stillwell; Michal Kosinski; Lyle H. Ungar; H. Andrew Schwartz (EMNLP, 2014)

Two Reasons to Make Aggregated Probability Forecasts More Extreme. - Jonathan Baron; Barbara A. Mellers; Philip E. Tetlock; Eric Stone; Lyle H. Ungar (Decis. Anal., 2014)

Spectral learning of latent-variable PCFGs: algorithms and sample complexity. - Shay B. Cohen; Karl Stratos; Michael Collins 001; Dean P. Foster; Lyle H. Ungar (J. Mach. Learn. Res., 2014)

Classification of individual articles from all of science by research level. - Kevin W. Boyack; Michael Patek; Lyle H. Ungar; Patrick Yoon; Richard Klavans (J. Informetrics, 2014)

Subject-specific functional parcellation via Prior Based Eigenanatomy. - Paramveer S. Dhillon; David A. Wolk; Sandhitsu R. Das; Lyle H. Ungar; James C. Gee; Brian B. Avants (NeuroImage, 2014)

Crowdsourcing for NLP. - Chris Callison-Burch; Lyle H. Ungar; Ellie Pavlick (HLT-NAACL, 2015)

The role of personality, age, and gender in tweeting about mental illness. - Daniel Preotiuc-Pietro; Johannes C. Eichstaedt; Gregory J. Park; Maarten Sap; Laura Smith; Victoria Tobolsky; H. Andrew Schwartz; Lyle H. Ungar (CLPsych@HLT-NAACL, 2015)

Mental Illness Detection at the World Well-Being Project for the CLPsych 2015 Shared Task. - Daniel Preotiuc-Pietro; Maarten Sap; H. Andrew Schwartz; Lyle H. Ungar (CLPsych@HLT-NAACL, 2015)

Extracting Human Temporal Orientation from Facebook Language. - H. Andrew Schwartz; Gregory J. Park; Maarten Sap; Evan Weingarten; Johannes C. Eichstaedt; Margaret L. Kern; David Stillwell; Michal Kosinski; Jonah Berger; Martin E. P. Seligman; Lyle H. Ungar (HLT-NAACL, 2015)

Eigenwords: spectral word embeddings. - Paramveer S. Dhillon; Dean P. Foster; Lyle H. Ungar (J. Mach. Learn. Res., 2015)

Discovering User Attribute Stylistic Differences via Paraphrasing. - Daniel Preotiuc-Pietro; Wei Xu 004; Lyle H. Ungar (AAAI, 2016)

Analyzing Biases in Human Perception of User Age and Gender from Text. - Lucie Flekova; Jordan Carpenter; Salvatore Giorgi; Lyle H. Ungar; Daniel Preotiuc-Pietro (ACL (1), 2016)

Exploring Stylistic Variation with Age and Income on Twitter. - Lucie Flekova; Daniel Preotiuc-Pietro; Lyle H. Ungar (ACL (2), 2016)

Studying the Dark Triad of Personality through Twitter Behavior. - Daniel Preotiuc-Pietro; Jordan Carpenter; Salvatore Giorgi; Lyle H. Ungar (CIKM, 2016)

Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self-reference. - Masoud Rouhizadeh; Lyle H. Ungar; Anneke Buffone; H. Andrew Schwartz (EMNLP, 2016)

Does 'well-being' translate on Twitter? - Laura Smith; Salvatore Giorgi; Rishi Solanki; Johannes C. Eichstaedt; H. Andrew Schwartz; Muhammad Abdul-Mageed; Anneke Buffone; Lyle H. Ungar (EMNLP, 2016)

Analyzing Personality through Social Media Profile Picture Choice. - Leqi Liu; Daniel Preotiuc-Pietro; Zahra Riahi Samani; Mohsen Ebrahimi Moghaddam; Lyle H. Ungar (ICWSM, 2016)

An Empirical Exploration of Moral Foundations Theory in Partisan News Sources. - Dean Fulgoni; Jordan Carpenter; Lyle H. Ungar; Daniel Preotiuc-Pietro (LREC, 2016)

Predicting Individual Well-Being Through the Language of Social Media. - H. Andrew Schwartz; Maarten Sap; Margaret L. Kern; Johannes C. Eichstaedt; Adam Kapelner; Megha Agrawal; Eduardo Blanco 002; Lukasz Dziurzynski; Gregory J. Park; David Stillwell; Michal Kosinski; Martin E. P. Seligman; et al. (PSB, 2016)

Modelling Valence and Arousal in Facebook posts. - Daniel Preotiuc-Pietro; H. Andrew Schwartz; Gregory J. Park; Johannes C. Eichstaedt; Margaret L. Kern; Lyle H. Ungar; Elisabeth Shulman (WASSA@NAACL-HLT, 2016)

Semantic Word Clusters Using Signed Normalized Graph Cuts. - João Sedoc; Jean Gallier; Lyle H. Ungar; Dean P. Foster (CoRR, 2016)

Product Information Websites: Are They Good for Consumers? - Panos M. Markopoulos; Ravi Aron; Lyle H. Ungar (J. Manag. Inf. Syst., 2016)

DASHR: database of small human noncoding RNAs. - Yuk Yee Leung; Pavel P. Kuksa; Alexandre Amlie-Wolf; Otto Valladares; Lyle H. Ungar; Sampath Kannan; Brian D. Gregory; Li-San Wang (Nucleic Acids Res., 2016)

Proper Proxy Scoring Rules. - Jens Witkowski; Pavel Atanasov; Lyle H. Ungar; Andreas Krause 001 (AAAI, 2017)

Personality Driven Differences in Paraphrase Preference. - Daniel Preotiuc-Pietro; Jordan Carpenter; Lyle H. Ungar (NLP+CSS@ACL, 2017)

EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks. - Muhammad Abdul-Mageed; Lyle H. Ungar (ACL (1), 2017)

On the Distribution of Lexical Features at Multiple Levels of Analysis. - Fatemeh Almodaresi; Lyle H. Ungar; Vivek Kulkarni; Mohsen Zakeri; Salvatore Giorgi; H. Andrew Schwartz (ACL (2), 2017)

Beyond Binary Labels: Political Ideology Prediction of Twitter Users. - Daniel Preotiuc-Pietro; Ye Liu 002; Daniel Hopkins; Lyle H. Ungar (ACL (1), 2017)

Semantic Word Clusters Using Signed Spectral Clustering. - João Sedoc; Jean Gallier; Dean P. Foster; Lyle H. Ungar (ACL (1), 2017)

Recognizing Counterfactual Thinking in Social Media Texts. - Youngseo Son; Anneke Buffone; Joe Raso; Allegra Larche; Anthony Janocko; Kevin Zembroski; H. Andrew Schwartz; Lyle H. Ungar (ACL (2), 2017)

Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering. - João Sedoc; Daniel Preotiuc-Pietro; Lyle H. Ungar (EACL (2), 2017)

Controlling Human Perception of Basic User Traits. - Daniel Preotiuc-Pietro; Sharath Chandra Guntuku; Lyle H. Ungar (EMNLP, 2017)

DLATK: Differential Language Analysis ToolKit. - H. Andrew Schwartz; Salvatore Giorgi; Maarten Sap; Patrick Crutchley; Lyle H. Ungar; Johannes C. Eichstaedt (EMNLP (System Demonstrations), 2017)

Assessing Objective Recommendation Quality through Political Forecasting. - H. Andrew Schwartz; Masoud Rouhizadeh; Michael Bishop; Philip Tetlock; Barbara A. Mellers; Lyle H. Ungar (EMNLP, 2017)

Recognizing Pathogenic Empathy in Social Media. - Muhammad Abdul-Mageed; Anneke Buffone; Hao Peng; Johannes C. Eichstaedt; Lyle H. Ungar (ICWSM, 2017)

Domain Adaptation from User-level Facebook Models to County-level Twitter Predictions. - Daniel Rieman; Kokil Jaidka; H. Andrew Schwartz; Lyle H. Ungar (IJCNLP(1), 2017)

Studying Personality through the Content of Posted and Liked Images on Twitter. - Sharath Chandra Guntuku; Weisi Lin; Jordan Carpenter; Wee Keong Ng; Lyle H. Ungar; Daniel Preotiuc-Pietro (WebSci, 2017)

Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approach. - Vivek Kulkarni; Margaret L. Kern; David Stillwell; Michal Kosinski; Sandra Matz; Lyle H. Ungar; Steven Skiena; H. Andrew Schwartz (CoRR, 2017)

Deriving Verb Predicates By Clustering Verbs with Arguments. - João Sedoc; Derry Wijaya; Masoud Rouhizadeh; Andy Schwartz; Lyle H. Ungar (CoRR, 2017)

Enterprise to Computer: Star Trek chatbot. - Grishma Jena; Mansi Vashisht; Abheek Basu; Lyle H. Ungar; João Sedoc (CoRR, 2017)

Domain Aware Neural Dialog System. - Sajal Choudhary; Prerna Srivastava; Lyle H. Ungar; João Sedoc (CoRR, 2017)

Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees. - José-Marcio Luna; Eric Eaton; Lyle H. Ungar; Eric S. Diffenderfer; Shane T. Jensen; Efstathios D. Gennatas; Mateo Wirth; Charles B. Simone II; Timothy D. Solberg; Gilmer Valdes (CoRR, 2017)

Distilling the Wisdom of Crowds: Prediction Markets vs. Prediction Polls. - Pavel Atanasov; Phillip Rescober; Eric Stone; Samuel A. Swift; Emile Servan-Schreiber; Philip Tetlock; Lyle H. Ungar; Barbara A. Mellers (Manag. Sci., 2017)

Confidence Calibration in a Multiyear Geopolitical Forecasting Competition. - Don A. Moore; Samuel A. Swift; Angela Minster; Barbara A. Mellers; Lyle H. Ungar; Philip Tetlock; Heather H. J. Yang; Elizabeth R. Tenney (Manag. Sci., 2017)

The AAAI-18 Workshop on Affective Content Analysis. - Niyati Chhaya; Kokil Jaidka; Lyle H. Ungar (AAAI Workshops, 2018)

Current and Future Psychological Health Prediction using Language and Socio-Demographics of Children for the CLPysch 2018 Shared Task. - Sharath Chandra Guntuku; Salvatore Giorgi; Lyle H. Ungar (CLPsych@NAACL-HTL, 2018)

Enabling Deep Learning of Emotion With First-Person Seed Expressions. - Hassan Alhuzali; Muhammad Abdul-Mageed; Lyle H. Ungar (PEOPLES@NAACL-HTL, 2018)

Diachronic degradation of language models: Insights from social media. - Kokil Jaidka; Niyati Chhaya; Lyle H. Ungar (ACL (2), 2018)

Multi-Attribute Topic Feature Construction for Social Media-based Prediction. - Alex Morales; Nupoor Gandhi; Man-pui Sally Chan; Sophie Lohmann; Travis Sanchez; Kathleen A. Brady; Lyle H. Ungar; Dolores Albarracin; ChengXiang Zhai (IEEE BigData, 2018)

User-Level Race and Ethnicity Predictors from Twitter Text. - Daniel Preotiuc-Pietro; Lyle H. Ungar (COLING, 2018)

Unsupervised Morphology Learning with Statistical Paradigms. - Hongzhi Xu; Mitchell Marcus; Charles Yang 001; Lyle H. Ungar (COLING, 2018)

Modeling Empathy and Distress in Reaction to News Stories. - Sven Buechel; Anneke Buffone; Barry Slaff; Lyle H. Ungar; João Sedoc (EMNLP, 2018)

The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions. - Salvatore Giorgi; Daniel Preotiuc-Pietro; Anneke Buffone; Daniel Rieman; Lyle H. Ungar; H. Andrew Schwartz (EMNLP, 2018)

Identifying Locus of Control in Social Media Language. - Masoud Rouhizadeh; Kokil Jaidka; Laura Smith; H. Andrew Schwartz; Anneke Buffone; Lyle H. Ungar (EMNLP, 2018)

Fast Network Simulation Through Approximation or: How Blind Men Can Describe Elephants. - Charles W. Kazer; João Sedoc; Kelvin K. W. Ng; Vincent Liu 001; Lyle H. Ungar (HotNets, 2018)

Modeling and Visualizing Locus of Control with Facebook Language. - Kokil Jaidka; Anneke Buffone; Johannes C. Eichstaedt; Masoud Rouhizadeh; Lyle H. Ungar (ICWSM, 2018)

Facebook versus Twitter: Differences in Self-Disclosure and Trait Prediction. - Kokil Jaidka; Sharath Chandra Guntuku; Lyle H. Ungar (ICWSM, 2018)

Learning Neural Emotion Analysis from 100 Observations: The Surprising Effectiveness of Pre-Trained Word Representations. - Sven Buechel; João Sedoc; H. Andrew Schwartz; Lyle H. Ungar (CoRR, 2018)

Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors. - Tianlin Liu; João Sedoc; Lyle H. Ungar (CoRR, 2018)

Editorial for the 2nd Workshop on Affective Content Analysis (AffCon) at AAAI 2019. - Niyati Chhaya; Kokil Jaidka; Atanu R. Sinha; Lyle H. Ungar (AffCon@AAAI, 2019)

The CL-Aff Happiness Shared Task: Results and Key Insights. - Kokil Jaidka; Saran Mumick; Niyati Chhaya; Lyle H. Ungar (AffCon@AAAI, 2019)

Unsupervised Post-Processing of Word Vectors via Conceptor Negation. - Tianlin Liu; Lyle H. Ungar; João Sedoc (AAAI, 2019)

Understanding and Measuring Psychological Stress Using Social Media. - Sharath Chandra Guntuku; Anneke Buffone; Kokil Jaidka; Johannes C. Eichstaedt; Lyle H. Ungar (ICWSM, 2019)

Studying Cultural Differences in Emoji Usage across the East and the West. - Sharath Chandra Guntuku; Mingyang Li; Louis Tay; Lyle H. Ungar (ICWSM, 2019)

What Twitter Profile and Posted Images Reveal about Depression and Anxiety. - Sharath Chandra Guntuku; Daniel Preotiuc-Pietro; Johannes C. Eichstaedt; Lyle H. Ungar (ICWSM, 2019)

Continual Learning for Sentence Representations Using Conceptors. - Tianlin Liu; Lyle H. Ungar; João Sedoc (NAACL-HLT (1), 2019)

ChatEval: A Tool for Chatbot Evaluation. - João Sedoc; Daphne Ippolito; Arun Kirubarajan; Jai Thirani; Lyle H. Ungar; Chris Callison-Burch (NAACL-HLT (Demonstrations), 2019)

Exploring (Dis-)Similarities in Emoji-Emotion Association on Twitter and Weibo. - Mingyang Li; Sharath Chandra Guntuku; Vinit Jakhetiya; Lyle H. Ungar (WWW (Companion Volume), 2019)

Expert-Augmented Machine Learning. - Efstathios D. Gennatas; Jerome H. Friedman; Lyle H. Ungar; Romain Pirracchio; Eric Eaton; L. Reichman; Yannet Interian; Charles B. Simone II; A. Auerbach; E. Delgado; Mark J. van der Laan; Timothy D. Solberg; et al. (CoRR, 2019)

Conceptor Debiasing of Word Representations Evaluated on WEAT. - Saket Karve; Lyle H. Ungar; João Sedoc (CoRR, 2019)

DiaNet: BERT and Hierarchical Attention Multi-Task Learning of Fine-Grained Dialect. - Muhammad Abdul-Mageed; Chiyu Zhang; AbdelRahim A. Elmadany; Arun Rajendran; Lyle H. Ungar (CoRR, 2019)

Sentence-Level BERT and Multi-Task Learning of Age and Gender in Social Media. - Muhammad Abdul-Mageed; Chiyu Zhang; Arun Rajendran; AbdelRahim A. Elmadany; Michael Przystupa; Lyle H. Ungar (CoRR, 2019)

Correcting Sociodemographic Selection Biases for Accurate Population Prediction from Social Media. - Salvatore Giorgi; Veronica E. Lynn; Sandra Matz; Lyle H. Ungar; H. Andrew Schwartz (CoRR, 2019)

Machine Learning for Phone-Based Relationship Estimation: The Need to Consider Population Heterogeneity. - Tony Liu 004; Jennifer Nicholas; Max-Marcel Theilig; Sharath Chandra Guntuku; Konrad P. Körding; David C. Mohr; Lyle H. Ungar (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Construct validity of six sentiment analysis methods in the text of encounter notes of patients with critical illness. - Gary E. Weissman; Lyle H. Ungar; Michael O. Harhay; Katherine R. Courtright; Scott D. Halpern (J. Biomed. Informatics, 2019)

Editorial for the 3rd Workshop on Affective Content Analysis (AffCon) at AAAI 2020. - Niyati Chhaya; Kokil Jaidka; Jennifer Healey; Lyle H. Ungar; Atanu R. Sinha (AffCon@AAAI, 2020)

A report of the CL-Aff OffMyChest Shared Task: Modeling Supportiveness and Disclosure. - Kokil Jaidka; Iknoor Singh; Jiahui Liu; Niyati Chhaya; Lyle H. Ungar (AffCon@AAAI, 2020)

Identifying Actionable Aspects of Frailty in the Text of Encounter Notes. - Jacob A. Martin; Andrew Crane-Droesch; Folasade C. Lapite; Joseph C. Puhl; Jasmine A. Silvestri; Bruce P. Kinosian; Blanca E. Himes; Rebecca A. Hubbard; Vivek N. Ahya; Michael W. Sims; Joshua M. Diamond; Joseph Adler; et al. (AMIA, 2020)

Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments. - Muhammad Abdul-Mageed; Chiyu Zhang; AbdelRahim A. Elmadany; Lyle H. Ungar (EMNLP (1), 2020)

Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings. - Roshan Santosh; H. Andrew Schwartz; Johannes C. Eichstaedt; Lyle H. Ungar; Sharath Chandra Guntuku (NLP4COVID@EMNLP, 2020)

Predicting Responses to Psychological Questionnaires from Participants' Social Media Posts and Question Text Embeddings. - Huy Vu; Suhaib Abdurahman; Sudeep Bhatia; Lyle H. Ungar (EMNLP (Findings), 2020)

Item Response Theory for Efficient Human Evaluation of Chatbots. - João Sedoc; Lyle H. Ungar (Eval4NLP, 2020)

Beyond Positive Emotion: Deconstructing Happy Moments Based on Writing Prompts. - Kokil Jaidka; Niyati Chhaya; Saran Mumick; Matthew Killingsworth; Alon Y. Halevy; Lyle H. Ungar (ICWSM, 2020)

Learning Word Ratings for Empathy and Distress from Document-Level User Responses. - João Sedoc; Sven Buechel; Yehonathan Nachmany; Anneke Buffone; Lyle H. Ungar (LREC, 2020)

Small Steps to Accuracy: Incremental Belief Updaters Are Better Forecasters. - Pavel Atanasov; Jens Witkowski; Lyle H. Ungar; Barbara A. Mellers; Philip Tetlock (EC, 2020)

Generalized SHAP: Generating multiple types of explanations in machine learning. - Dillon Bowen; Lyle H. Ungar (CoRR, 2020)

Studying Politeness across Cultures using English Twitter and Mandarin Weibo. - Mingyang Li; Louis Hickman; Louis Tay; Lyle H. Ungar; Sharath Chandra Guntuku (Proc. ACM Hum. Comput. Interact., 2020)

Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods. - Kokil Jaidka; Salvatore Giorgi; H. Andrew Schwartz; Margaret L. Kern; Lyle H. Ungar; Johannes C. Eichstaedt (Proc. Natl. Acad. Sci. USA, 2020)

Characterizing Social Spambots by their Human Traits. - Salvatore Giorgi; Lyle H. Ungar; H. Andrew Schwartz (ACL/IJCNLP (Findings), 2021)

Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica. - Shirley Anugrah Hayati; Dongyeop Kang; Lyle H. Ungar (EMNLP (1), 2021)

Well-Being Depends on Social Comparison: Hierarchical Models of Twitter Language Suggest That Richer Neighbors Make You Less Happy. - Salvatore Giorgi; Sharath Chandra Guntuku; Johannes C. Eichstaedt; Claire Pajot; H. Andrew Schwartz; Lyle H. Ungar (ICWSM, 2021)

WikiTalkEdit: A Dataset for modeling Editors' behaviors on Wikipedia. - Kokil Jaidka; Andrea Ceolin; Iknoor Singh; Niyati Chhaya; Lyle H. Ungar (NAACL-HLT, 2021)

The rural-urban stress divide: Obtaining geographical insights through Twitter. - Kokil Jaidka; Sharath Chandra Guntuku; Jane H. Lee; Zhengyi Luo; Anneke Buffone; Lyle H. Ungar (Comput. Hum. Behav., 2021)

Development and validation of a prediction model for actionable aspects of frailty in the text of clinicians' encounter notes. - Jacob A. Martin; Andrew Crane-Droesch; Folasade C. Lapite; Joseph C. Puhl; Tyler E. Kmiec; Jasmine A. Silvestri; Lyle H. Ungar; Bruce P. Kinosian; Blanca E. Himes; Rebecca A. Hubbard; Joshua M. Diamond; Vivek N. Ahya; et al. (J. Am. Medical Informatics Assoc., 2021)

Quantifying causality in data science with quasi-experiments. - Tony Liu 004; Lyle H. Ungar; Konrad P. Kording (Nat. Comput. Sci., 2021)

Social media language of healthcare super-utilizers. - Sharath Chandra Guntuku; Elissa V. Klinger; Haley J. McCalpin; Lyle H. Ungar; David A. Asch; Raina M. Merchant (npj Digit. Medicine, 2021)

Information-seeking vs. sharing: Which explains regional health? An analysis of Google Search and Twitter trends. - Kokil Jaidka; Johannes C. Eichstaedt; Salvatore Giorgi; H. Andrew Schwartz; Lyle H. Ungar (Telematics Informatics, 2021)

Measuring the Language of Self-Disclosure across Corpora. - Ann-Katrin Reuel; Sebastian Peralta; João Sedoc; Garrick Sherman; Lyle H. Ungar (ACL (Findings), 2022)

Data-driven exclusion criteria for instrumental variable studies. - Tony Liu 004; Patrick N. Lawlor; Lyle H. Ungar; Konrad P. Kording (CLeaR, 2022)

Inducing Generalizable and Interpretable Lexica. - Yilin Geng; Zetian Wu; Roshan Santhosh; Tejas Srivastava; Lyle H. Ungar; João Sedoc (EMNLP (Findings), 2022)

Social Media Reveals Urban-Rural Differences in Stress across China. - Jesse Cui; Tingdan Zhang; Kokil Jaidka; Dandan Pang; Garrick Sherman; Vinit Jakhetiya; Lyle H. Ungar; Sharath Chandra Guntuku (ICWSM, 2022)

Correcting Sociodemographic Selection Biases for Population Prediction from Social Media. - Salvatore Giorgi; Veronica E. Lynn; Keshav Gupta; Farhan Ahmed; Sandra Matz; Lyle H. Ungar; H. Andrew Schwartz (ICWSM, 2022)

A Holistic Framework for Analyzing the COVID-19 Vaccine Debate. - Maria Leonor Pacheco; Tunazzina Islam; Monal Mahajan; Andrey Shor; Ming Yin; Lyle H. Ungar; Dan Goldwasser (NAACL-HLT, 2022)

Prospective Learning: Back to the Future. - Joshua T. Vogelstein; Timothy D. Verstynen; Konrad P. Kording; Leyla Isik; John W. Krakauer; Ralph Etienne-Cummings; Elizabeth L. Ogburn; Carey E. Priebe; Randal C. Burns; Kwame S. Kutten; James J. Knierim; James B. Potash; et al. (CoRR, 2022)

Cross-Platform Difference in Facebook and Text Messages Language Use: Illustrated by Depression Diagnosis. - Tingting Liu; Salvatore Giorgi; Xiangyu Tao; Douglas Bellew; Brenda Curtis; Lyle H. Ungar (CoRR, 2022)

Empathic Conversations: A Multi-level Dataset of Contextualized Conversations. - Damilola Omitaomu; Shabnam Tafreshi; Tingting Liu; Sven Buechel; Chris Callison-Burch; Johannes C. Eichstaedt; Lyle H. Ungar; João Sedoc (CoRR, 2022)

StyLEx: Explaining Styles with Lexicon-Based Human Perception. - Shirley Anugrah Hayati; Kyumin Park; Dheeraj Rajagopal; Lyle H. Ungar; Dongyeop Kang (CoRR, 2022)

Conceptor-Aided Debiasing of Contextualized Embeddings. - Yifei Li; Lyle H. Ungar; João Sedoc (CoRR, 2022)

Word embeddings trained on published case reports are lightweight, effective for clinical tasks, and free of protected health information. - Zachary N. Flamholz; Andrew Crane-Droesch; Lyle H. Ungar; Gary E. Weissman (J. Biomed. Informatics, 2022)

Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections. - Maria Leonor Pacheco; Tunazzina Islam; Lyle H. Ungar; Ming Yin; Dan Goldwasser (ACL (Findings), 2023)

Prospective Learning: Principled Extrapolation to the Future. - Ashwin De Silva; Rahul Ramesh; Lyle H. Ungar; Marshall G. Hussain Shuler; Noah J. Cowan; Michael L. Platt; Chen Li; Leyla Isik; Seung-Eon Roh; Adam S. Charles; Archana Venkataraman; Brian Caffo; et al. (CoLLAs, 2023)

StyLEx: Explaining Style Using Human Lexical Annotations. - Shirley Anugrah Hayati; Kyumin Park; Dheeraj Rajagopal; Lyle H. Ungar; Dongyeop Kang (EACL, 2023)

An "Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives". - Young Min Cho; Sunny Rai; Lyle H. Ungar; João Sedoc; Sharath Chandra Guntuku (EMNLP, 2023)

Comparing Styles across Languages. - Shreya Havaldar; Matthew Pressimone; Eric Wong 001; Lyle H. Ungar (EMNLP, 2023)

Conditioning on Dialog Acts improves Empathy Style Transfer. - Renyi Qu; Lyle H. Ungar; João Sedoc (EMNLP (Findings), 2023)

Conceptor-Aided Debiasing of Large Language Models. - Yifei Li; Lyle H. Ungar; João Sedoc (EMNLP, 2023)

TopEx: Topic-based Explanations for Model Comparison. - Shreya Havaldar; Adam Stein; Eric Wong 001; Lyle H. Ungar (Tiny Papers @ ICLR, 2023)

Different Affordances on Facebook and SMS Text Messaging Do Not Impede Generalization of Language-Based Predictive Models. - Tingting Liu; Salvatore Giorgi; Xiangyu Tao; Sharath Chandra Guntuku; Douglas Bellew; Brenda Curtis; Lyle H. Ungar (ICWSM, 2023)

Multilingual Language Models are not Multicultural: A Case Study in Emotion. - Shreya Havaldar; Bhumika Singhal; Sunny Rai; Langchen Liu; Sharath Chandra Guntuku; Lyle H. Ungar (WASSA@ACL, 2023)

Detecting Symptoms of Depression on Reddit. - Tingting Liu; Devansh Jain 003; Shivani R. Rapole; Brenda Curtis; Johannes C. Eichstaedt; Lyle H. Ungar; Sharath Chandra Guntuku (WebSci, 2023)

Human-Centered Metrics for Dialog System Evaluation. - Salvatore Giorgi; Shreya Havaldar; Farhan Ahmed; Zuhaib Akhtar; Shalaka Vaidya; Gary Pan; Lyle H. Ungar; H. Andrew Schwartz; João Sedoc (CoRR, 2023)

Historical patterns of rice farming explain modern-day language use in China and Japan more than modernization and urbanization. - Sharath Chandra Guntuku; Thomas Talhelm; Garrick Sherman; Angel Fan; Salvatore Giorgi; Liuqing Wei; Lyle H. Ungar (CoRR, 2023)

Personalized Assignment to One of Many Treatment Arms via Regularized and Clustered Joint Assignment Forests. - Rahul Ladhania; Jann Spiess; Lyle H. Ungar; Wenbo Wu (CoRR, 2023)

Building a Multimodal Classifier of Email Behavior: Towards a Social Network Understanding of Organizational Communication. - Harsh Shah; Kokil Jaidka; Lyle H. Ungar; Jesse Fagan; Travis J. Grosser (Inf., 2023)

Opioid death projections with AI-based forecasts using social media language. - Matthew Matero; Salvatore Giorgi; Brenda Curtis; Lyle H. Ungar; H. Andrew Schwartz (npj Digit. Medicine, 2023)

Author Correction: Opioid death projections with AI-based forecasts using social media language. - Matthew Matero; Salvatore Giorgi; Brenda Curtis; Lyle H. Ungar; H. Andrew Schwartz (npj Digit. Medicine, 2023)

Automated Detection of Causal Inference Opportunities: Regression Discontinuity Subgroup Discovery. - Tony Liu 004; Patrick N. Lawlor; Lyle H. Ungar; Konrad P. Kording; Rahul Ladhania (Trans. Mach. Learn. Res., 2023)

Detecting Symptoms of Depression on Reddit. - Tingting Liu; Devansh Jain 003; Shivani Reddy Rapole; Brenda Curtis; Johannes C. Eichstaedt; Lyle H. Ungar; Sharath Chandra Guntuku (Zenodo, 2023)

Detecting Symptoms of Depression on Reddit. - Tingting Liu; Devansh Jain 003; Shivani Reddy Rapole; Brenda Curtis; Johannes C. Eichstaedt; Lyle H. Ungar; Sharath Chandra Guntuku (Zenodo, 2023)

Mining for equitable health: Assessing the impact of missing data in electronic health records. - Emily J. Getzen; Lyle H. Ungar; Danielle L. Mowery; Xiaoqian Jiang; Qi Long (J. Biomed. Informatics, 2023)

Modeling Human Subjectivity in LLMs Using Explicit and Implicit Human Factors in Personas. - Salvatore Giorgi; Tingting Liu; Ankit Aich; Kelsey Isman; Garrick Sherman; Zachary Fried; João Sedoc; Lyle H. Ungar; Brenda Curtis (EMNLP (Findings), 2024)

Measuring Causal Effects of Civil Communication without Randomization. - Tony Liu 004; Lyle H. Ungar; Konrad P. Kording; Morgan McGuire (ICWSM, 2024)

Building Knowledge-Guided Lexica to Model Cultural Variation. - Shreya Havaldar; Salvatore Giorgi; Sunny Rai; Thomas Talhelm; Sharath Chandra Guntuku; Lyle H. Ungar (NAACL-HLT, 2024)

A Cross-Cultural Analysis of Social Norms in Bollywood and Hollywood Movies. - Sunny Rai; Khushang Jilesh Zaveri; Shreya Havaldar; Soumna Nema; Lyle H. Ungar; Sharath Chandra Guntuku (CoRR, 2024)

Large Language Models Show Human-like Social Desirability Biases in Survey Responses. - Aadesh Salecha; Molly E. Ireland; Shashanka Subrahmanya; João Sedoc; Lyle H. Ungar; Johannes C. Eichstaedt (CoRR, 2024)

Empirical influence functions to understand the logic of fine-tuning. - Jordan K. Matelsky; Lyle H. Ungar; Konrad P. Kording (CoRR, 2024)

Vernacular? I Barely Know Her: Challenges with Style Control and Stereotyping. - Ankit Aich; Tingting Liu; Salvatore Giorgi; Kelsey Isman; Lyle H. Ungar; Brenda Curtis (CoRR, 2024)

Explicit and Implicit Large Language Model Personas Generate Opinions but Fail to Replicate Deeper Perceptions and Biases. - Salvatore Giorgi; Tingting Liu; Ankit Aich; Kelsey Isman; Garrick Sherman; Zachary Fried; João Sedoc; Lyle H. Ungar; Brenda Curtis (CoRR, 2024)

DiverseDialogue: A Methodology for Designing Chatbots with Human-Like Diversity. - Xiaoyu Lin; Xinkai Yu; Ankit Aich; Salvatore Giorgi; Lyle H. Ungar (CoRR, 2024)

The FIX Benchmark: Extracting Features Interpretable to eXperts. - Helen Jin; Shreya Havaldar; Chaehyeon Kim; Anton Xue; Weiqiu You; Helen Qu; Marco Gatti; Daniel A. Hashimoto; Bhuvnesh Jain; Amin Madani; Masao Sako; Lyle H. Ungar; et al. (CoRR, 2024)

PsychAdapter: Adapting LLM Transformers to Reflect Traits, Personality and Mental Health. - Huy Vu; Huy Anh Nguyen; Adithya V. Ganesan; Swanie Juhng; Oscar N. E. Kjell; João Sedoc; Margaret L. Kern; Ryan L. Boyd; Lyle H. Ungar; H. Andrew Schwartz; Johannes C. Eichstaedt (CoRR, 2024)

The Illusion of Empathy: How AI Chatbots Shape Conversation Perception. - Tingting Liu; Salvatore Giorgi; Ankit Aich; Allison Lahnala; Brenda Curtis; Lyle H. Ungar; João Sedoc (AAAI, 2025)

Towards Style Alignment in Cross-Cultural Translation. - Shreya Havaldar; Adam Stein; Eric Wong 001; Lyle H. Ungar (ACL (1), 2025)

Systematic Evaluation of Auto-Encoding and Large Language Model Representations for Capturing Author States and Traits. - Khushboo Singh; Vasudha Varadarajan; Adithya V. Ganesan; August Håkan Nilsson; Nikita Soni 002; Syeda Mahwish; Pranav Chitale; Ryan L. Boyd; Lyle H. Ungar; Richard N. Rosenthal; H. Andrew Schwartz (ACL (Findings), 2025)

Efficient Management of LLM-Based Coaching Agents' Reasoning While Maintaining Interaction Quality and Speed. - Andreas Göldi; Roman Rietsche; Lyle H. Ungar (CHI, 2025)

Exploring Socio-Cultural Challenges and Opportunities in Designing Mental Health Chatbots for Adolescents in India. - Neil K. R. Sehgal; Hita Kambhamettu; Sai Preethi Matam; Lyle H. Ungar; Sharath Chandra Guntuku (CHI Extended Abstracts, 2025)

Language-based Valence and Arousal Expressions between the United States and China: a Cross-Cultural Examination. - Young Min Cho; Dandan Pang; Stuti Thapa; Garrick Sherman; Lyle H. Ungar; Louis Tay; Sharath Chandra Guntuku (NAACL (Findings), 2025)

Social Norms in Cinema: A Cross-Cultural Analysis of Shame, Pride and Prejudice. - Sunny Rai; Khushang Jilesh Zaveri; Shreya Havaldar; Soumna Nema; Lyle H. Ungar; Sharath Chandra Guntuku (NAACL (Long Papers), 2025)

Learning not cheating: AI assistance can enhance rather than hinder skill development. - Benjamin Lira; Todd Rogers; Daniel G. Goldstein; Lyle H. Ungar; Angela Lee Duckworth (CoRR, 2025)

ControlText: Unlocking Controllable Fonts in Multilingual Text Rendering without Font Annotations. - Bowen Jiang; Yuan Yuan; Xinyi Bai; Zhuoqun Hao; Alyson Yin; Yaojie Hu; Wenyu Liao; Lyle H. Ungar; Camillo J. Taylor (CoRR, 2025)

Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale. - Bowen Jiang; Zhuoqun Hao; Young-Min Cho; Bryan Li; Yuan Yuan; Sihao Chen; Lyle H. Ungar; Camillo J. Taylor; Dan Roth 001 (CoRR, 2025)

Conversations with AI Chatbots Increase Short-Term Vaccine Intentions But Do Not Outperform Standard Public Health Messaging. - Neil K. R. Sehgal; Sunny Rai; Manuel Tonneau; Anish K. Agarwal; Joseph Cappella; Melanie Kornides; Lyle H. Ungar; Alison Buttenheim; Sharath Chandra Guntuku (CoRR, 2025)

ZeroTuning: Unlocking the Initial Token's Power to Enhance Large Language Models Without Training. - Feijiang Han; Xiaodong Yu; Jianheng Tang; Lyle H. Ungar (CoRR, 2025)

Herd Behavior: Investigating Peer Influence in LLM-based Multi-Agent Systems. - Young-Min Cho; Sharath Chandra Guntuku; Lyle H. Ungar (CoRR, 2025)

PAL: Designing Conversational Agents as Scalable, Cooperative Patient Simulators for Palliative-Care Training. - Neil K. R. Sehgal; Hita Kambhamettu; Allen Chang; Andrew Zhu; Lyle H. Ungar; Sharath Chandra Guntuku (CoRR, 2025)

Effect of Static vs. Conversational AI-Generated Messages on Colorectal Cancer Screening Intent: a Randomized Controlled Trial. - Neil K. R. Sehgal; Manuel Tonneau; Andy Tan; Shivan J. Mehta; Alison Buttenheim; Lyle H. Ungar; Anish K. Agarwal; Sharath Chandra Guntuku (CoRR, 2025)

The Impact of Language Mixing on Bilingual LLM Reasoning. - Yihao Li; Jiayi Xin; Miranda Muqing Miao; Qi Long; Lyle H. Ungar (CoRR, 2025)

Efficient RL for optimizing conversation level outcomes with an LLM-based tutor. - Hyunji Nam; Omer Gottesman; Amy Zhang; Dean P. Foster; Emma Brunskill; Lyle H. Ungar (CoRR, 2025)

Simple Methods Defend RAG Systems Well Against Real-World Attacks. - Ilias Triantafyllopoulos; Renyi Qu; Salvatore Giorgi; Brenda Curtis; Lyle H. Ungar; João Sedoc (CoRR, 2025)