Identifying causal relationships in time-series data from a pair of wearable sensors. - D. K. Arvind 001; Sharan Maiya; P. Andreu Sedeño (BSN, 2021)

Sensor data-driven analysis for identification of causal relationships between exposure to air pollution and respiratory rate in asthmatics. - D. K. Arvind 001; Sharan Maiya (CoRR, 2023)

Cluster-Norm for Unsupervised Probing of Knowledge. - Walter Laurito; Sharan Maiya; Grégoire Dhimoïla; Owen Yeung; Kaarel Hänni (EMNLP, 2024)

Improving Preference Extraction In LLMs By Identifying Latent Knowledge Through Classifying Probes. - Sharan Maiya; Yinhong Liu; Ramit Debnath; Anna Korhonen (ACL (1), 2025)

Will AI Tell Lies to Save Sick Children? Litmus-Testing AI Values Prioritization with AIRiskDilemmas. - Yu Ying Chiu; Zhilin Wang; Sharan Maiya; Yejin Choi 001; Kyle Fish; Sydney Levine; Evan Hubinger (CoRR, 2025)