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Shohreh Deldari

2 accepted papers

2025

SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition

EMNLP 2025

We introduce SensorLLM, a two-stage framework that enables Large Language Models (LLMs) to perform human activity recognition (HAR) from sensor time-series data. Despite their strong reasoning and generalization capabilities, LLMs remain underutilized for motion sensor data due to the lack of semant

2024

ViLCo-Bench: VIdeo Language COntinual learning Benchmark

NeurIPS 2024poster

Video language continual learning involves continuously adapting to information from video and text inputs, enhancing a model’s ability to handle new tasks while retaining prior knowledge. This field is a relatively under-explored area, and establishing appropriate datasets is crucial for facilitati…