Author

Arvind Pillai

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Preprint Aug 2026

BALMS: Benchmarking Agentic LLMs for Longitudinal Mental Health Sensing

Mental health assessment relies on episodic self-report scales, which convert subjective states such as stress into numerical scores but provide only sparse snapshots of wellbeing. Wearable devices offer longitudinal behavioral and physiological signals for continuous, low-burden monitoring. Recent LLM-driven personal-...

Y. Wu, Arvind Pillai, Yu-Liang Chen et al. · 0 citations

#artificial intelligence Preprint Sep 2026

TimeThink: Eliciting Compositional Reasoning in Timeseries Large Language Models

Timeseries multimodal large language models (TS-MLLMs) have recently begun leveraging the reasoning capabilities of large language models (LLMs) for question-answering tasks. However, these models often fail to capture dynamic temporal patterns, providing only implicit reasoning that lacks the underlying explanations c...

Sudarshan Regmi, Arvind Pillai, Y. Wu et al. · 0 citations

Preprint Aug 2026

ReliaGate: Reliability Routing for Low-Stakes Wearable Stress Prediction

We study when a wearable stress system should surface a prediction rather than change it. In low-stakes reflection and summary settings, aggregate accuracy is insufficient because withholding can reduce error while leaving some people with little or no information. We formulate fixed-label reliability routing: after a...

Jaden Moon, Y. Wu, Arvind Pillai et al. · 0 citations