papers

Publications (22)

cs.SD2020

Acoustic Scene Classification with Spectrogram Processing Strategies

Helin Wang, Yuexian Zou, Dading Chong

Recently, convolutional neural networks (CNN) have achieved the state-of-the-art performance in acoustic scene classification (ASC) task. The audio data is often transformed into t…

cs.CL2023

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…

cs.SD2026

UniAudio 2.0: A Unified Audio Language Model with Text-Aligned Factorized Audio Tokenization

Dongchao Yang, Yuanyuan Wang, Dading Chong +3

We study two foundational problems in audio language models: (1) how to design an audio tokenizer that can serve as an intermediate representation for both understanding and genera…

cs.CL2024

Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model

Qichen Ye, Junling Liu, Dading Chong +8

Integrating large language models (LLMs) into healthcare holds great potential but faces challenges. Pre-training LLMs from scratch for domains like medicine is resource-heavy and…

cs.IR2023

LLMRec: Benchmarking Large Language Models on Recommendation Task

Junling Liu, Chao Liu, Peilin Zhou +8

Recently, the fast development of Large Language Models (LLMs) such as ChatGPT has significantly advanced NLP tasks by enhancing the capabilities of conversational models. However,…

cs.CL2022

METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets

Peilin Zhou, Zeqiang Wang, Dading Chong +6

The COVID-19 pandemic continues to bring up various topics discussed or debated on social media. In order to explore the impact of pandemics on people's lives, it is crucial to und…