Large Language Models (LLMs) have seen significant use in domains such as natural
language processing and computer vision. Going beyond text, image and graphics, LLMs …

In the last few years, text and voice-based conversational agents have become more and
more popular all over the world as virtual assistants for a variety of tasks. In addition, the …

Understanding time series is crucial for its application in real-world scenarios. Recently,
large language models (LLMs) have been increasingly applied to time series tasks …

Time series are critical for decision-making in fields like finance and healthcare. Their
importance has driven a recent influx of works passing time series into language models …

Large Language Models (LLMs) have recently demonstrated a remarkable ability to model
time series data. These capabilities can be partly explained if LLMs understand basic time …

With the rapid growth in sensor data, effectively interpreting and interfacing with these data
in a human-understandable way has become crucial. While existing research primarily …

Internet of Things (IoT) devices are increasingly present in people's daily lives. Thus has
increased research interest in investigating strategies that can ensure that these …

Question Answering (QA) establishes a natural and intuitive way for humans to interpret and
understand multimodal sensor data. However, existing sensor-based QA systems are limited …

The past decade has witnessed a significant growth of deployed sensors in our daily life,
covering applications from healthcare, climate modeling to home automation and robotics …

Time series are critical data which drive countless decisions in finance, healthcare, and
science. However, multimodal NLP research has mostly focused on images and video. Here …