UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models Paper • 2410.14059 • Published Oct 17 • 54
Towards Interpretable Mental Health Analysis with Large Language Models Paper • 2304.03347 • Published Apr 6, 2023
Me LLaMA: Foundation Large Language Models for Medical Applications Paper • 2402.12749 • Published Feb 20 • 2
No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks Paper • 2403.06249 • Published Mar 10 • 2
Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams Paper • 2406.11328 • Published Jun 17
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications Paper • 2408.11878 • Published Aug 20 • 52
EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records Paper • 2406.16341 • Published Jun 24 • 12
ChatGPT as a Factual Inconsistency Evaluator for Text Summarization Paper • 2303.15621 • Published Mar 27, 2023
PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance Paper • 2306.05443 • Published Jun 8, 2023 • 3
MentalLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models Paper • 2309.13567 • Published Sep 24, 2023 • 2
Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models Paper • 2310.00566 • Published Oct 1, 2023 • 1
EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis Paper • 2401.08508 • Published Jan 16 • 1
The FinBen: An Holistic Financial Benchmark for Large Language Models Paper • 2402.12659 • Published Feb 20 • 17
The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI Paper • 2306.00838 • Published Jun 1, 2023 • 5
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model Paper • 2211.05100 • Published Nov 9, 2022 • 27
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG Paper • 2010.15274 • Published Oct 28, 2020 • 2