5 citations · 15 across the 10 of their papers we have counts for
8 papers · 1 filter
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques
Rui Yang, Haoran Liu, Edison Marrese-Taylor +8
Large language models (LLMs) have demonstrated impressive generative capabilities with the potential to innovate in medicine. However, the application of LLMs in real clinical sett…
Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts
Fan Gao, Hang Jiang, Rui Yang +7
Educational materials such as survey articles in specialized fields like computer science traditionally require tremendous expert inputs and are therefore expensive to create and u…
Large Language Models Are Partially Primed in Pronoun Interpretation
Suet-Ying Lam, Qingcheng Zeng, Kexun Zhang +2
While a large body of literature suggests that large language models (LLMs) acquire rich linguistic representations, little is known about whether they adapt to linguistic biases i…
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…
A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives
Qingcheng Zeng, An-Ran Li
Irony is a ubiquitous figurative language in daily communication. Previously, many researchers have approached irony from linguistic, cognitive science, and computational aspects.…
Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective
Qingcheng Zeng, Dading Chong, Peilin Zhou +1
Accented speech recognition and accent classification are relatively under-explored research areas in speech technology. Recently, deep learning-based methods and Transformer-based…