H. Andrew Schwartz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
53
Venues
11
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
53 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Responsible Evaluation of AI for Mental Health. | Hiba Arnaout, Anmol Goel, H. Andrew Schwartz, Steffen 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 |
| 2026 | ACL | From Word Sequences to Behavioral Sequences: Adapting Modeling and Evaluation Paradigms for Longitudinal NLP. | Adithya V. Ganesan, Vasudha Varadarajan, Oscar N. E. Kjell, Whitney Ringwald, Scott M. Feltman, Benjamin J. Luft, Roman Kotov, Ryan L. Boyd, H. Andrew Schwartz |
| 2026 | CoNLL | Addressing the Ecological Fallacy in Larger LMs with Human Context. | Nikita Soni, Dhruv Vijay Kunjadiya, Pratham Piyush Shah, Dikshya Mohanty, H. Andrew Schwartz, Niranjan Balasubramanian |
| 2026 | EACL | MAQuA: Multi-outcome Adaptive Question-Asking for Mental Health using Item Response Theory. | Vasudha Varadarajan, Hui Xu, Rebecca Astrid Boehme, Mariam Marlen Mirstrm, Sverker Sikstrm, H. Andrew Schwartz |
| 2025 | ACL | Capturing Author Self Beliefs in Social Media Language. | Siddharth Mangalik, Adithya V. Ganesan, Abigail B. Wheeler, Nicholas Kerry, Jeremy D. W. Clifton, H. Andrew Schwartz, Ryan L. Boyd |
| 2025 | ACL | WhiSPA: Semantically and Psychologically Aligned Whisper with Self-Supervised Contrastive and Student-Teacher Learning. | Rajath Rao, Adithya V. Ganesan, Oscar N. E. Kjell, Jonah Luby, Akshay Raghavan, Scott M. Feltman, Whitney Ringwald, Ryan L. Boyd, Benjamin J. Luft, Camilo J. Ruggero, Neville Ryant, Roman Kotov, H. Andrew Schwartz |
| 2025 | ACL | Systematic Evaluation of Auto-Encoding and Large Language Model Representations for Capturing Author States and Traits. | Khushboo Singh, Vasudha Varadarajan, Adithya V. Ganesan, August Hkan Nilsson, Nikita Soni, Syeda Mahwish, Pranav Chitale, Ryan L. Boyd, Lyle H. Ungar, Richard N. Rosenthal, H. Andrew Schwartz |
| 2025 | COLING | The Consistent Lack of Variance of Psychological Factors Expressed by LLMs and Spambots. | Vasudha Varadarajan, Salvatore Giorgi, Siddharth Mangalik, Nikita Soni, David M. Markowitz, H. Andrew Schwartz |
| 2025 | EMNLP | Idiosyncratic Versus Normative Modeling of Atypical Speech Recognition: Dysarthric Case Studies. | Vishnu Raja, Adithya V. Ganesan, Anand Syamkumar, Ritwik Banerjee, H. Andrew Schwartz |
| 2025 | EMNLP | Residualized Similarity for Faithfully Explainable Authorship Verification. | Peter Zeng, Pegah Alipoormolabashi, Jihu Mun, Gourab Dey, Nikita Soni, Niranjan Balasubramanian, Owen Rambow, H. Andrew Schwartz |
| 2025 | ICWSM | Unifying the Extremes: Developing a Unified Model for Detecting and Predicting Extremist Traits and Radicalization. | Allison Lahnala, Vasudha Varadarajan, Lucie Flek, H. Andrew Schwartz, Ryan L. Boyd |
| 2025 | NAACL | Evaluation of LLMs-based Hidden States as Author Representations for Psychological Human-Centered NLP Tasks. | Nikita Soni, Pranav Chitale, Khushboo Singh, Niranjan Balasubramanian, H. Andrew Schwartz |
| 2025 | NAACL | Capturing Human Cognitive Styles with Language: Towards an Experimental Evaluation Paradigm. | Vasudha Varadarajan, Syeda Mahwish, Xiaoran Liu, Julia Buffolino, Christian C. Luhmann, Ryan L. Boyd, H. Andrew Schwartz |
| 2024 | EACL | SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks. | Gourab Dey, Adithya V. Ganesan, Yash Kumar Lal, Manal Shah, Shreyashee Sinha, Matthew Matero, Salvatore Giorgi, Vivek Kulkarni, H. Andrew Schwartz |
| 2024 | NAACL | Large Human Language Models: A Need and the Challenges. | Nikita Soni, H. Andrew Schwartz, Joo Sedoc, Niranjan Balasubramanian |
| 2024 | NAACL | ALBA: Adaptive Language-Based Assessments for Mental Health. | Vasudha Varadarajan, Sverker Sikstrm, Oscar N. E. Kjell, H. Andrew Schwartz |
| 2023 | ACL | Discourse-Level Representations can Improve Prediction of Degree of Anxiety. | Swanie Juhng, Matthew Matero, Vasudha Varadarajan, Johannes C. Eichstaedt, Adithya V. Ganesan, H. Andrew Schwartz |
| 2023 | ACL | Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge. | Vasudha Varadarajan, Swanie Juhng, Syeda Mahwish, Xiaoran Liu, Jonah Luby, Christian C. Luhmann, H. Andrew Schwartz |
| 2022 | ACL | Human Language Modeling. | Nikita Soni, Matthew Matero, Niranjan Balasubramanian, H. Andrew Schwartz |
| 2022 | ICWSM | 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 |
| 2022 | ICWSM | Modeling Latent Dimensions of Human Beliefs. | Huy Vu, Salvatore Giorgi, Jeremy D. W. Clifton, Niranjan Balasubramanian, H. Andrew Schwartz |
| 2021 | ACL | Characterizing Social Spambots by their Human Traits. | Salvatore Giorgi, Lyle H. Ungar, H. Andrew Schwartz |
| 2021 | ACL | On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers. | Tianchu Ji, Shraddhan Jain, Michael Ferdman, Peter A. Milder, H. Andrew Schwartz, Niranjan Balasubramanian |
| 2021 | EMNLP | MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection. | Matthew Matero, Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz |
| 2021 | ICWSM | 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 |
| 2021 | NAACL | Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality. | Adithya V. Ganesan, Matthew Matero, Aravind Reddy Ravula, Huy Vu, H. Andrew Schwartz |
| 2021 | WWW | Contrastive Lexical Diffusion Coefficient: Quantifying the Stickiness of the Ordinary. | Mohammadzaman Zamani, H. Andrew Schwartz |
| 2020 | ACL | Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention. | Veronica E. Lynn, Niranjan Balasubramanian, H. Andrew Schwartz |
| 2020 | ACL | Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview. | Deven Shah, H. Andrew Schwartz, Dirk Hovy |
| 2020 | COLING | Autoregressive Affective Language Forecasting: A Self-Supervised Task. | Matthew Matero, H. Andrew Schwartz |
| 2020 | EMNLP | 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 |
| 2020 | WWW | Quantifying Community Characteristics of Maternal Mortality Using Social Media. | Rediet Abebe, Salvatore Giorgi, Anna Tedijanto, Anneke Buffone, H. Andrew Schwartz |
| 2020 | UIST | JustCorrect: Intelligent Post Hoc Text Correction Techniques on Smartphones. | Wenzhe Cui, Suwen Zhu, Mingrui Ray Zhang, H. Andrew Schwartz, Jacob O. Wobbrock, Xiaojun Bi |
| 2019 | ICWSM | Using Search Queries to Understand Health Information Needs in Africa. | Rediet Abebe, Shawndra Hill, Jennifer Wortman Vaughan, Peter M. Small, H. Andrew Schwartz |
| 2018 | EMNLP | 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 |
| 2018 | EMNLP | Identifying Locus of Control in Social Media Language. | Masoud Rouhizadeh, Kokil Jaidka, Laura Smith, H. Andrew Schwartz, Anneke Buffone, Lyle H. Ungar |
| 2018 | EMNLP | Causal Explanation Analysis on Social Media. | Youngseo Son, Nipun Bayas, H. Andrew Schwartz |
| 2018 | EMNLP | Residualized Factor Adaptation for Community Social Media Prediction Tasks. | Mohammadzaman Zamani, H. Andrew Schwartz, Veronica E. Lynn, Salvatore Giorgi, Niranjan Balasubramanian |
| 2017 | ACL | 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 |
| 2017 | ACL | 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 |
| 2017 | EACL | Using Twitter Language to Predict the Real Estate Market. | Mohammadzaman Zamani, H. Andrew Schwartz |
| 2017 | EMNLP | Human Centered NLP with User-Factor Adaptation. | Veronica E. Lynn, Youngseo Son, Vivek Kulkarni, Niranjan Balasubramanian, H. Andrew Schwartz |
| 2017 | EMNLP | DLATK: Differential Language Analysis ToolKit. | H. Andrew Schwartz, Salvatore Giorgi, Maarten Sap, Patrick Crutchley, Lyle H. Ungar, Johannes C. Eichstaedt |
| 2017 | EMNLP | Assessing Objective Recommendation Quality through Political Forecasting. | H. Andrew Schwartz, Masoud Rouhizadeh, Michael Bishop, Philip Tetlock, Barbara A. Mellers, Lyle H. Ungar |
| 2017 | IJCNLP | Domain Adaptation from User-level Facebook Models to County-level Twitter Predictions. | Daniel Rieman, Kokil Jaidka, H. Andrew Schwartz, Lyle H. Ungar |
| 2016 | EMNLP | Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self-reference. | Masoud Rouhizadeh, Lyle H. Ungar, Anneke Buffone, H. Andrew Schwartz |
| 2016 | EMNLP | 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 |
| 2016 | PSB | 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, Lukasz Dziurzynski, Gregory J. Park, David Stillwell, Michal Kosinski, Martin E. P. Seligman, Lyle H. Ungar |
| 2015 | NAACL | 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 |
| 2015 | NAACL | 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 |
| 2015 | NAACL | 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 |
| 2014 | EMNLP | 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 |
| 2013 | ICWSM | 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 |