7 papers
CryptoGAT: Are Time Series Models Effective for Cryptocurrency Forecasting?
Yu Peng, Matloob Khushi, Josiah Poon
Cryptocurrency price prediction is a significant challenge in quantitative investment. In recent years, time series models have made significant progress in financial forecasting t…
An Empirical Analysis of Static Analysis Methods for Detection and Mitigation of Code Library Hallucinations
Clarissa Miranda-Pena, Andrew Reeson, Cécile Paris +2
Despite extensive research, Large Language Models continue to hallucinate when generating code, particularly when using libraries. On NL-to-code benchmarks that require library use…
VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding
Yihao Ding, Soyeon Caren Han, Yan Li +1
Visually Rich Document Understanding (VRDU) has emerged as a critical field in document intelligence, enabling automated extraction of key information from complex documents across…
TriG-NER: Triplet-Grid Framework for Discontinuous Named Entity Recognition
Rina Carines Cabral, Soyeon Caren Han, Areej Alhassan +3
Discontinuous Named Entity Recognition (DNER) presents a challenging problem where entities may be scattered across multiple non-adjacent tokens, making traditional sequence labell…
GEM-VPC: A dual Graph-Enhanced Multimodal integration for Video Paragraph Captioning
Eileen Wang, Caren Han, Josiah Poon
Video Paragraph Captioning (VPC) aims to generate paragraph captions that summarises key events within a video. Despite recent advancements, challenges persist, notably in effectiv…
Multimodal Large Language Models and Tunings: Vision, Language, Sensors, Audio, and Beyond
Soyeon Caren Han, Feiqi Cao, Josiah Poon +1
This tutorial explores recent advancements in multimodal pretrained and large models, capable of integrating and processing diverse data forms such as text, images, audio, and vide…