1 citations · 1 across the 7 of their papers we have counts for
8 papers
Can LLMs Access their World Knowledge for Event Prediction?
Zijun Wu, Zhitian Zhang, Hossein Hajimirsadeghi +2
Recent work has questioned whether large language models (LLMs) can be useful for temporal event prediction. Despite vast pretrained world knowledge, LLMs often underperform simple…
ReDiTT: Retrieval Augmented Conditional Diffusion Transformers for Asynchronous Time Series
Saiyue Lyu, Zhitian Zhang, Ruizhi Deng +1
We present a diffusion based model for asynchronous time series prediction, where the goal is to predict the next inter event time and event type. To address the inherent uncertain…
An Attention-based Model for Robust Forecasting with Missing Modality
Zhitian Zhang, Wenjie Zi, Yunduz Rakhmangulova +3
Learning with missing modalities is a fundamental challenge in multimodal robot learning, as real-world robotic systems often operate in environments with incomplete sensor data. A…
TabReason: A Reinforcement Learning-Enhanced Reasoning LLM for Explainable Tabular Data Prediction
Tommy Xu, Zhitian Zhang, Xiangyu Sun +3
Predictive modeling on tabular data is the cornerstone of many real-world applications. Although gradient boosting machines and some recent deep models achieve strong performance o…
Test-Time Learning for Large Language Models
Jinwu Hu, Zhitian Zhang, Guohao Chen +6
While Large Language Models (LLMs) have exhibited remarkable emergent capabilities through extensive pre-training, they still face critical limitations in generalizing to specializ…
Predicting Long-Term Human Behaviors in Discrete Representations via Physics-Guided Diffusion
Zhitian Zhang, Anjian Li, Angelica Lim +1
Long-term human trajectory prediction is a challenging yet critical task in robotics and autonomous systems. Prior work that studied how to predict accurate short-term human trajec…
Good Things Come in Trees: Emotion and Context Aware Behaviour Trees for Ethical Robotic Decision-Making
Paige Tuttösí, Zhitian Zhang, Emma Hughson +1
Emotions guide our decision making process and yet have been little explored in practical ethical decision making scenarios. In this challenge, we explore emotions and how they can…
SFU-Store-Nav: A Multimodal Dataset for Indoor Human Navigation
Zhitian Zhang, Jimin Rhim, Taher Ahmadi +3
This article describes a dataset collected in a set of experiments that involves human participants and a robot. The set of experiments was conducted in the computing science robot…