Adithya V. Ganesan

According to our database, Adithya V. Ganesan authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

When Support Escalates Distress: Regulation and Escalation in LLM Responses to Venting and Advice-Seeking.

Vivienne Bihe Chi, Adithya V. Ganesan, Ryan L. Boyd, Lyle H. Ungar, Sharath Chandra Guntuku

CoRR, May, 2026

A Systematic Evaluation of Large Language Models for PTSD Severity Estimation: The Role of Contextual Knowledge and Modeling Strategies.

Panagiotis Kaliosis, Adithya V. Ganesan, Oscar N. E. Kjell, Whitney Ringwald, Scott Feltman, Melissa A. Carr, Dimitris Samaras, Camilo Ruggero, Benjamin J. Luft, Roman Kotov, H. Andrew Schwartz

CoRR, February, 2026

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 Feltman, Benjamin J. Luft, Roman Kotov, Ryan L. Boyd, H. Andrew Schwartz

CoRR, January, 2026

2025

Inferring Effects of Major Events through Discontinuity Forecasting of Population Anxiety.

Siddharth Mangalik, Ojas Deshpande, Adithya V. Ganesan, Sean A. P. Clouston, H. Andrew Schwartz

CoRR, August, 2025

Idiosyncratic Versus Normative Modeling of Atypical Speech Recognition: Dysarthric Case Studies.

Vishnu Raja, Adithya V. Ganesan, Anand Syamkumar, Ritwik Banerjee, H. Andrew Schwartz

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 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, Syeda Mahwish, Pranav Chitale, Ryan L. Boyd, Lyle H. Ungar, Richard N. Rosenthal, H. Andrew Schwartz

Proceedings of the Findings of the Association for Computational Linguistics, 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, H. Andrew Schwartz

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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, Sean A. P. Clouston, H. Andrew Schwartz

npj Digit. Medicine, 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

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

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

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation.

Adithya V. Ganesan, Yash Kumar Lal, August Håkan Nilsson, H. Andrew Schwartz

Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2021

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

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021