5 citations · 15 across the 10 of their papers we have counts for
10 papers
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…
Filter and evolve: progressive pseudo label refining for semi-supervised automatic speech recognition
Zezhong Jin, Dading Zhong, Xiao Song +3
Fine tuning self supervised pretrained models using pseudo labels can effectively improve speech recognition performance. But, low quality pseudo labels can misguide decision bound…
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…
Calibrate and Refine! A Novel and Agile Framework for ASR-error Robust Intent Detection
Peilin Zhou, Dading Chong, Helin Wang +1
The past ten years have witnessed the rapid development of text-based intent detection, whose benchmark performances have already been taken to a remarkable level by deep learning…
Masked Spectrogram Prediction For Self-Supervised Audio Pre-Training
Dading Chong, Helin Wang, Peilin Zhou +1
Transformer-based models attain excellent results and generalize well when trained on sufficient amounts of data. However, constrained by the limited data available in the audio do…
Fancy Man Lauches Zippo at WNUT 2020 Shared Task-1: A Bert Case Model for Wet Lab Entity Extraction
Haoding Meng, Qingcheng Zeng, Xiaoyang Fang +1
Automatic or semi-automatic conversion of protocols specifying steps in performing a lab procedure into machine-readable format benefits biological research a lot. These noisy, den…