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 (NAACL-HLT, 2021)

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 (ACL (2), 2023)

Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation. - Adithya V. Ganesan; Yash Kumar Lal; August Håkan Nilsson; H. Andrew Schwartz (WASSA@ACL, 2023)

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 (EACL (2), 2024)

Explaining GPT-4's Schema of Depression Using Machine Behavior Analysis. - Adithya V. Ganesan; Vasudha Varadarajan; Yash Kumar Lal; Veerle C. Eijsbroek; Katarina Kjell; Oscar N. E. Kjell; Tanuja Dhanasekaran; Elizabeth C. Stade; Johannes C. Eichstaedt; Ryan L. Boyd; H. Andrew Schwartz; Lucie Flek (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)

Robust language-based mental health assessments in time and space through social media. - Siddharth Mangalik; Johannes C. Eichstaedt; Salvatore Giorgi; Jihu Mun; Farhan Ahmed; Gilvir Gill; Adithya V. Ganesan; Shashanka Subrahmanya; Nikita Soni 002; Sean A. P. Clouston; H. Andrew Schwartz (npj Digit. Medicine, 2024)

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 (ACL (1), 2025)

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; et al. (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)