128 citations · 215 across the 22 of their papers we have counts for
7 papers · 1 filter
FMDLlama: Financial Misinformation Detection based on Large Language Models
Zhiwei Liu, Xin Zhang, Kailai Yang +3
The emergence of social media has made the spread of misinformation easier. In the financial domain, the accuracy of information is crucial for various aspects of financial market,…
Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams
Zheheng Luo, Chenhan Yuan, Qianqian Xie +1
Recent advancements in Large Language Models (LLMs) have demonstrated their potential in delivering accurate answers to questions about world knowledge. Despite this, existing benc…
RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning Based on Emotional Information
Zhiwei Liu, Kailai Yang, Qianqian Xie +3
Misinformation is prevalent in various fields such as education, politics, health, etc., causing significant harm to society. However, current methods for cross-domain misinformati…
MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
Kailai Yang, Zhiwei Liu, Qianqian Xie +3
Recent advancements in large language models (LLMs) focus on aligning to heterogeneous human expectations and values via multi-objective preference alignment. However, existing met…
The Lay Person's Guide to Biomedicine: Orchestrating Large Language Models
Zheheng Luo, Qianqian Xie, Sophia Ananiadou
Automated lay summarisation (LS) aims to simplify complex technical documents into a more accessible format to non-experts. Existing approaches using pre-trained language models, p…
Factual consistency evaluation of summarization in the Era of large language models
Zheheng Luo, Qianqian Xie, Sophia Ananiadou
Factual inconsistency with source documents in automatically generated summaries can lead to misinformation or pose risks. Existing factual consistency (FC) metrics are constrained…
EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis
Zhiwei Liu, Kailai Yang, Tianlin Zhang +2
Sentiment analysis and emotion detection are important research topics in natural language processing (NLP) and benefit many downstream tasks. With the widespread application of LL…