Search Results for author: Dading Chong

Found 15 papers, 9 papers with code

Aligning Language Models Using Follow-up Likelihood as Reward Signal

1 code implementation20 Sep 2024 Chen Zhang, Dading Chong, Feng Jiang, Chengguang Tang, Anningzhe Gao, Guohua Tang, Haizhou Li

Building upon the FLR mechanism, we propose to automatically mine preference data from the online generations of a base policy model.

Language Modelling

Multi-modal Adversarial Training for Zero-Shot Voice Cloning

no code implementations28 Aug 2024 John Janiczek, Dading Chong, Dongyang Dai, Arlo Faria, Chao Wang, Tao Wang, Yuzong Liu

The discriminator is used in a training pipeline that improves both the acoustic and prosodic features of a TTS model.

Decoder Text to Speech +1

SimpleSpeech 2: Towards Simple and Efficient Text-to-Speech with Flow-based Scalar Latent Transformer Diffusion Models

no code implementations25 Aug 2024 Dongchao Yang, Rongjie Huang, Yuanyuan Wang, Haohan Guo, Dading Chong, Songxiang Liu, Xixin Wu, Helen Meng

With these improvement, we show a significant improvement in generation performance and generation speed compared to our previous work and other state-of-the-art (SOTA) large-scale TTS models.

Text to Speech

FinTruthQA: A Benchmark Dataset for Evaluating the Quality of Financial Information Disclosure

1 code implementation17 Jun 2024 Ziyue Xu, Peilin Zhou, Xinyu Shi, Jiageng Wu, Yikang Jiang, Dading Chong, Bin Ke, Jie Yang

This paper builds a benchmark FinTruthQA, that can evaluate advanced natural language processing (NLP) techniques for the automatic quality assessment of information disclosure in financial Q&A data.

Language Modelling Large Language Model

TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models

no code implementations30 May 2024 Chen Zhang, Chengguang Tang, Dading Chong, Ke Shi, Guohua Tang, Feng Jiang, Haizhou Li

This automatic mining process is efficiently accomplished through the collaboration between a large-scale teacher model and a small-scale student model.

Instruction Following

LLMRec: Benchmarking Large Language Models on Recommendation Task

1 code implementation23 Aug 2023 Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu

The benchmark results indicate that LLMs displayed only moderate proficiency in accuracy-based tasks such as sequential and direct recommendation.

Benchmarking Explanation Generation +1

GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost

1 code implementation13 Nov 2022 Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Rob Voigt, Jie Yang

Large pre-trained models have revolutionized natural language processing (NLP) research and applications, but high training costs and limited data resources have prevented their benefits from being shared equally amongst speakers of all the world's languages.

Cross-Lingual Transfer

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

1 code implementation28 Sep 2022 Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang

To further investigate tweet users' attitudes toward specific entities, 4 types of entities (Person, Organization, Drug, and Vaccine) are selected and annotated with user sentiments, resulting in a targeted sentiment dataset with 9, 101 entities (in 5, 278 tweets).

Epidemiology named-entity-recognition +3

Calibrate and Refine! A Novel and Agile Framework for ASR-error Robust Intent Detection

no code implementations23 May 2022 Peilin Zhou, Dading Chong, Helin Wang, Qingcheng Zeng

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 techniques.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Environmental Sound Classification with Parallel Temporal-spectral Attention

no code implementations14 Dec 2019 Helin Wang, Yuexian Zou, Dading Chong, Wenwu Wang

Convolutional neural networks (CNN) are one of the best-performing neural network architectures for environmental sound classification (ESC).

Acoustic Scene Classification Environmental Sound Classification +3

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