19 citations · 20 across the 6 of their papers we have counts for
7 papers
Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning
Qi Peng, Jiatong Li, Sirui Huang +10
Large language models (LLMs) have emerged as important tools in healthcare, showing growing potential for clinical reasoning and patient care. This survey examines recent progress…
Think in Latent Thoughts: A New Paradigm for Gloss-Free Sign Language Translation
Yiyang Jiang, Li Zhang, Xiao-Yong Wei +1
Many SLT systems quietly assume that brief chunks of signing map directly to spoken-language words. That assumption breaks down because signers often create meaning on the fly usin…
Self-Paced Learning for Images of Antinuclear Antibodies
Yiyang Jiang, Guangwu Qian, Jiaxin Wu +4
Antinuclear antibody (ANA) testing is a crucial method for diagnosing autoimmune disorders, including lupus, Sjögren's syndrome, and scleroderma. Despite its importance, manual ANA…
Removal of Hallucination on Hallucination: Debate-Augmented RAG
Wentao Hu, Wengyu Zhang, Yiyang Jiang +3
Retrieval-Augmented Generation (RAG) enhances factual accuracy by integrating external knowledge, yet it introduces a critical issue: erroneous or biased retrieval can mislead gene…
PolySmart @ TRECVid 2024 Medical Video Question Answering
Jiaxin Wu, Yiyang Jiang, Xiao-Yong Wei +1
Video Corpus Visual Answer Localization (VCVAL) includes question-related video retrieval and visual answer localization in the videos. Specifically, we use text-to-text retrieval…
Prior Knowledge Integration via LLM Encoding and Pseudo Event Regulation for Video Moment Retrieval
Yiyang Jiang, Wengyu Zhang, Xulu Zhang +3
In this paper, we investigate the feasibility of leveraging large language models (LLMs) for integrating general knowledge and incorporating pseudo-events as priors for temporal co…
LibriSQA: A Novel Dataset and Framework for Spoken Question Answering with Large Language Models
Zihan Zhao, Yiyang Jiang, Heyang Liu +2
While Large Language Models (LLMs) have demonstrated commendable performance across a myriad of domains and tasks, existing LLMs still exhibit a palpable deficit in handling multim…