Liying Cheng

According to our database, Liying Cheng authored at least 27 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Early Detection of Ripeness for the Picking of Xanthoceras Sorbifolium Using Feature Excitation-Based Broad Learning System.

Dan Zhang, Zuchen Liu, Liying Cheng, Tieshan Li, Liru Guo

IEEE Access, 2024

2023

Broad learning solution for rapid diagnosis of COVID-19.

Xiaowei Wang, Liying Cheng, Dan Zhang, Zuchen Liu, Longtao Jiang

Biomed. Signal Process. Control., May, 2023

SeaLLMs - Large Language Models for Southeast Asia.

Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, Lidong Bing

CoRR, 2023

Exploring the Potential of Large Language Models in Computational Argumentation.

Guizhen Chen, Liying Cheng, Luu Anh Tuan, Lidong Bing

CoRR, 2023

Semantic-Aware Contrastive Sentence Representation Learning with Large Language Models.

Huiming Wang, Liying Cheng, Zhaodonghui Li, De Wen Soh, Lidong Bing

CoRR, 2023

Unlocking Temporal Question Answering for Large Language Models Using Code Execution.

Xingxuan Li, Liying Cheng, Qingyu Tan, Hwee Tou Ng, Shafiq Joty, Lidong Bing

CoRR, 2023

Are Large Language Models Good Evaluators for Abstractive Summarization?

Chenhui Shen, Liying Cheng, Yang You, Lidong Bing

CoRR, 2023

Enhancing Few-shot NER with Prompt Ordering based Data Augmentation.

Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing

CoRR, 2023

A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization.

Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, Yang You, Lidong Bing

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization.

Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, Yang You, Lidong Bing

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Is GPT-4 a Good Data Analyst?

Liying Cheng, Xingxuan Li, Lidong Bing

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach.

Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Segmentation of lung parenchyma based on new U-NET network.

Liying Cheng, Longtao Jiang, Xiaowei Wang, Zuchen Liu, Shuai Zhao

Int. J. Wirel. Mob. Comput., 2022

SentBS: Sentence-level Beam Search for Controllable Summarization.

Chenhui Shen, Liying Cheng, Lidong Bing, Yang You, Luo Si

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MReD: A Meta-Review Dataset for Structure-Controllable Text Generation.

Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, Luo Si

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks.

Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

MReD: A Meta-Review Dataset for Controllable Text Generation.

Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, Luo Si

CoRR, 2021

Overview of Argumentative Text Understanding for AI Debater Challenge.

Jian Yuan, Liying Cheng, Ruidan He, Yinzi Li, Lidong Bing, Zhongyu Wei, Qin Liu, Chenhui Shen, Shuonan Zhang, Changlong Sun, Luo Si, Changjian Jiang, Xuanjing Huang

Proceedings of the Natural Language Processing and Chinese Computing, 2021

On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation.

Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding.

Liying Cheng, Tianyu Wu, Lidong Bing, Luo Si

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Knowledge Graph Empowered Entity Description Generation.

Liying Cheng, Yan Zhang, Dekun Wu, Zhanming Jie, Lidong Bing, Wei Lu, Luo Si

CoRR, 2020

Segmentation of pulmonary vessels based on MSFM method.

Xiaowei Wang, Liying Cheng, Danyang Huang, Xuanshuang Gao, Daili Liang, Liuye He, Zhimei Zhang, Nan Li, Wenjun Tan

Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

ENT-DESC: Entity Description Generation by Exploring Knowledge Graph.

Liying Cheng, Dekun Wu, Lidong Bing, Yan Zhang, Zhanming Jie, Wei Lu, Luo Si

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning.

Liying Cheng, Lidong Bing, Qian Yu, Wei Lu, Luo Si

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2018

Route leakage detection algorithm based on new feature discovery.

Liying Cheng, Pei Zhang, Yan Ma

Proceedings of the 4th International Conference on Communication and Information Processing, 2018

2015

Strategic Design of the Purchase System Toward R&D Supply Chain Based on SNA.

Liying Cheng, Decheng Wen, Zhongrui Sun

Int. J. Inf. Syst. Supply Chain Manag., 2015

2008

Evolutionary Design of Combinational Circuits Based on an Embryo Circuit Module.

Zhimei Zhang, Shuang Qiao, Chunju Li, Honggang Wang, Yao Li, Liying Cheng

Proceedings of the Fourth International Conference on Natural Computation, 2008