22 citations · 33 across the 10 of their papers we have counts for
12 papers
PAINT: A Framework for Multilingual Pain Representation from Medical Licensing Exams to Real-World Clinical Texts
Boya Zhang, Yuanchao Ma, Jiageng Wu +14
Pain is one of the most common and clinically important symptoms, reflecting disease onset, progression, and treatment response. However, pain is difficult to accurately capture an…
Why Chain of Thought Fails in Clinical Text Understanding
Jiageng Wu, Kevin Xie, Bowen Gu +3
Large language models (LLMs) are increasingly being applied to clinical care, a domain where both accuracy and transparent reasoning are critical for safe and trustworthy deploymen…
Scalable Medication Extraction and Discontinuation Identification from Electronic Health Records Using Large Language Models
Chong Shao, Douglas Snyder, Chiran Li +7
Identifying medication discontinuations in electronic health records (EHRs) is vital for patient safety but is often hindered by information being buried in unstructured notes. Thi…
BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text
Jiageng Wu, Bowen Gu, Ren Zhou +14
Large language models (LLMs) hold great promise for medical applications and are evolving rapidly, with new models being released at an accelerated pace. However, benchmarking on l…
Revealing COVID-19's Social Dynamics: Diachronic Semantic Analysis of Vaccine and Symptom Discourse on Twitter
Zeqiang Wang, Jiageng Wu, Yuqi Wang +5
Social media is recognized as an important source for deriving insights into public opinion dynamics and social impacts due to the vast textual data generated daily and the 'uncons…
FinTruthQA: A Benchmark for AI-Driven Financial Disclosure Quality Assessment in Investor -- Firm Interactions
Peilin Zhou, Ziyue Xu, Xinyu Shi +7
Accurate and transparent financial information disclosure is essential for market efficiency, investor decision-making, and corporate governance. Chinese stock exchanges' investor…
MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway Encoding
Jiageng Wu, Xian Wu, Yefeng Zheng +1
With appropriate data selection and training techniques, Large Language Models (LLMs) have demonstrated exceptional success in various medical examinations and multiple-choice ques…
Guiding Clinical Reasoning with Large Language Models via Knowledge Seeds
Jiageng WU, Xian Wu, Jie Yang
Clinical reasoning refers to the cognitive process that physicians employ in evaluating and managing patients. This process typically involves suggesting necessary examinations, di…
Large Language Models Leverage External Knowledge to Extend Clinical Insight Beyond Language Boundaries
Jiageng Wu, Xian Wu, Zhaopeng Qiu +5
: Large Language Models (LLMs) such as ChatGPT and Med-PaLM have excelled in various medical question-answering tasks. However, these English-centric models en…
Exploring Social Media for Early Detection of Depression in COVID-19 Patients
Jiageng Wu, Xian Wu, Yining Hua +3
The COVID-19 pandemic has caused substantial damage to global health. Even though three years have passed, the world continues to struggle with the virus. Concerns are growing abou…
GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost
Qingcheng Zeng, Lucas Garay, Peilin Zhou +7
Large pre-trained models have revolutionized natural language processing (NLP) research and applications, but high training costs and limited data resources have prevented their be…
YATO: Yet Another deep learning based Text analysis Open toolkit
Zeqiang Wang, Yile Wang, Jiageng Wu +2
We introduce YATO, an open-source, easy-to-use toolkit for text analysis with deep learning. Different from existing heavily engineered toolkits and platforms, YATO is lightweight…