most citedUncertainty Estimation of Large Language Models in Medical Question Answering

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

PolySmart @ TRECVid 2024 Video Captioning (VTT)

Jiaxin Wu, Wengyu Zhang, Xiao-Yong Wei +1

In this paper, we present our methods and results for the Video-To-Text (VTT) task at TRECVid 2024, exploring the capabilities of Vision-Language Models (VLMs) like LLaVA and LLaVA…

cs.IR2024

PolySmart and VIREO @ TRECVid 2024 Ad-hoc Video Search

Jiaxin Wu, Chong-Wah Ngo, Xiao-Yong Wei +1

This year, we explore generation-augmented retrieval for the TRECVid AVS task. Specifically, the understanding of textual query is enhanced by three generations, including Text2Tex…

cs.CL20242 cited

Uncertainty Estimation of Large Language Models in Medical Question Answering

Jiaxin Wu, Yizhou Yu, Hong-Yu Zhou

Large Language Models (LLMs) show promise for natural language generation in healthcare, but risk hallucinating factually incorrect information. Deploying LLMs for medical question…

cs.CV2024

Improving Interpretable Embeddings for Ad-hoc Video Search with Generative Captions and Multi-word Concept Bank

Jiaxin Wu, Chong-Wah Ngo, Wing-Kwong Chan

Aligning a user query and video clips in cross-modal latent space and that with semantic concepts are two mainstream approaches for ad-hoc video search (AVS). However, the effectiv…

cs.CV2024

Interpretable Embedding for Ad-hoc Video Search

Jiaxin Wu, Chong-Wah Ngo

Answering query with semantic concepts has long been the mainstream approach for video search. Until recently, its performance is surpassed by concept-free approach, which embeds q…