41 citations · 109 across the 20 of their papers we have counts for
14 papers · 1 filter
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…
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…
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…
3M-Health: Multimodal Multi-Teacher Knowledge Distillation for Mental Health Detection
Rina Carines Cabral, Siwen Luo, Josiah Poon +1
The significance of mental health classification is paramount in contemporary society, where digital platforms serve as crucial sources for monitoring individuals' well-being. Howe…
Do Text-to-Vis Benchmarks Test Real Use of Visualisations?
Hy Nguyen, Xuefei He, Andrew Reeson +3
Large language models are able to generate code for visualisations in response to simple user requests. This is a useful application and an appealing one for NLP research because p…
Game-MUG: Multimodal Oriented Game Situation Understanding and Commentary Generation Dataset
Zhihao Zhang, Feiqi Cao, Yingbin Mo +3
The dynamic nature of esports makes the situation relatively complicated for average viewers. Esports broadcasting involves game expert casters, but the caster-dependent game comme…