Sap, Maarten

COMET: Commonsense Transformers for Automatic Knowledge Graph Construction

Bosselut, A., Rashkin, H., Sap, M., Malaviya, C., Celikyilmaz, A., & Choi, Y. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingMultimodal Machine Learning Applications

Cited by 904

The Risk of Racial Bias in Hate Speech Detection

Sap, M., Card, D., Gabriel, S., Choi, Y., & Smith, N. A. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 817

RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models

Gehman, S., Gururangan, S., Sap, M., Choi, Y., & Smith, N. A. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020

Hate Speech and Cyberbullying DetectionAdversarial Robustness in Machine Learning

Cited by 693

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 569

Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus

Dodge, J., Sap, M., Marasović, A., Agnew, W., Ilharco, G., Groeneveld, D., Mitchell, M., & Gardner, M. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesTopic Modeling

Cited by 306

ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection

Hartvigsen, T., Gabriel, S., Palangi, H., Sap, M., Ray, D., & Kamar, E. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 279

ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection

Hartvigsen, T., Gabriel, S., Palangi, H., Sap, M., Ray, D., & Kamar, E. (2022) · arXiv

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 276

Towards Assessing Changes in Degree of Depression through Facebook

Schwartz, H. A., Eichstaedt, J., Kern, M. L., Park, G., Sap, M., Stillwell, D., Kosinski, M., & Ungar, L. (2014) · Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality

Mental Health via WritingEmotion and Mood Recognition

Cited by 256

Gaining insights from social media language: Methodologies and challenges.

Kern, M. L., Park, G., Eichstaedt, J. C., Schwartz, H. A., Sap, M., Smith, L. K., & Ungar, L. H. (2016) · Psychological Methods

Mental Health via WritingComputational and Text Analysis Methods

Cited by 221

Social chemistry 101: Learning to reason about social and moral norms

Forbes, M., Hwang, J. D., Shwartz, V., Sap, M., & Choi, Y. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Psychology of Moral and Emotional JudgmentTopic Modeling

Cited by 169

PREDICTING INDIVIDUAL WELL-BEING THROUGH THE LANGUAGE OF SOCIAL MEDIA

SCHWARTZ, H. A., SAP, M., KERN, M. L., EICHSTAEDT, J. C., KAPELNER, A., AGRAWAL, M., BLANCO, E., DZIURZYNSKI, L., PARK, G., STILLWELL, D., et al. (2016) · Biocomputing 2016

Mental Health via WritingPsychological Well-being and Life Satisfaction

Cited by 148

DLATK: Differential Language Analysis ToolKit

Schwartz, H. A., Giorgi, S., Sap, M., Crutchley, P., Ungar, L., & Eichstaedt, J. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Sentiment Analysis and Opinion MiningMental Health via Writing

Cited by 130

Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs

Sap, M., LeBras, R., Fried, D., & Choi, Y. (2022) · arXiv

Child and Animal Learning DevelopmentTopic Modeling

Cited by 118

Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs

Sap, M., Le Bras, R., Fried, D., & Choi, Y. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Child and Animal Learning DevelopmentTopic Modeling

Cited by 118

Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)

Jiang, L., Chai, Y., Li, M., Liu, M., Fok, R., Dziri, N., Tsvetkov, Y., Sap, M., Albalak, A., & Choi, Y. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 107

Empathy Toward Artificial Intelligence Versus Human Experiences and the Role of Transparency in Mental Health and Social Support Chatbot Design: Comparative Study

Shen, J., DiPaola, D., Ali, S., Sap, M., Park, H. W., & Breazeal, C. (2024) · JMIR Mental Health

Social Robot Interaction and HRIInnovative Human-Technology Interaction

Cited by 92

ProsocialDialog: A prosocial backbone for conversational agents

Kim, H., Yu, Y., Jiang, L., Lu, X., Khashabi, D., Kim, G., Choi, Y., & Sap, M. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Speech and dialogue systemsEthics and Social Impacts of AI

Cited by 80

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization

Kim, H., Hessel, J., Jiang, L., West, P., Lu, X., Yu, Y., Zhou, P., Bras, R., Alikhani, M., Kim, G., et al. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Speech and dialogue systemsTopic Modeling

Cited by 63

Mental Illness Detection at the World Well-Being Project for the CLPsych 2015 Shared Task

Preoţiuc-Pietro, D., Sap, M., Schwartz, H. A., & Ungar, L. (2015) · Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality

Mental Health via WritingSentiment Analysis and Opinion Mining

Cited by 54

Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty

Zhou, K., Hwang, J. D., Ren, X., & Sap, M. (2024) · arXiv

Ethics and Social Impacts of AINatural Language Processing Techniques

Cited by 44

Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models

Shapira, N., Levy, M., Alavi, S. H., Zhou, X., Choi, Y., Goldberg, Y., Sap, M., & Shwartz, V. (2024) · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)

Child and Animal Learning DevelopmentTopic Modeling

Cited by 44

Medical Hallucinations in Foundation Models and Their Impact on Healthcare

Kim, Y., Jeong, H., Chen, S., Li, S. S., Park, C., Lu, M., Alhamoud, K., Mun, J., Grau, C., Jung, M., et al. (2025) · arXiv

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 33

NLPositionality: Characterizing Design Biases of Datasets and Models

Santy, S., Liang, J. T., Bras, R. L., Reinecke, K., & Sap, M. (2023) · arXiv

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 31

FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions

Kim, H., Sclar, M., Zhou, X., Bras, R., Kim, G., Choi, Y., & Sap, M. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Child and Animal Learning DevelopmentTopic Modeling

Cited by 27