Liying Cheng

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 34

Top Topics

Text Generation

Multidocument Summarization

Top Venues

EMNLP (Findings)

Publications

Guizhen Chen, Liying Cheng, Anh Tuan Luu, Lidong Bing
Exploring the Potential of Large Language Models in Computational Argumentation. ACL (1) (2024)
Huiming Wang, Zhaodonghui Li, Liying Cheng, De Wen Soh, Lidong Bing
Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning. NAACL-HLT (2024)
Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing
Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition. ACL (1) (2024)
Zhang Dan, Zuchen Liu, Liying Cheng, Tieshan Li, Liru Guo
Early Detection of Ripeness for the Picking of Xanthoceras Sorbifolium Using Feature Excitation-Based Broad Learning System. IEEE Access 12 (2024)
Chenhui Shen, Liying Cheng, Yang You, Lidong Bing
Are Large Language Models Good Evaluators for Abstractive Summarization? CoRR (2023)
Xiaowei Wang, Liying Cheng, Dan Zhang, Zuchen Liu, Longtao Jiang
Broad learning solution for rapid diagnosis of COVID-19. Biomed. Signal Process. Control. 83 (2023)
Xingxuan Li, Liying Cheng, Qingyu Tan, Hwee Tou Ng, Shafiq Joty, Lidong Bing
Unlocking Temporal Question Answering for Large Language Models Using Code Execution. CoRR (2023)
Chenhui Shen, Liying Cheng, Yang You, Lidong Bing
A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization. CoRR (2023)
Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, Yang You, Lidong Bing
A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization. EMNLP (Findings) (2023)
Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach. CoRR (2023)
Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach. ACL (Findings) (2023)
Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, Yang You, Lidong Bing
Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization. EMNLP (Findings) (2023)
Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing
Enhancing Few-shot NER with Prompt Ordering based Data Augmentation. CoRR (2023)
Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Mahani Aljunied, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, Lidong Bing
SeaLLMs - Large Language Models for Southeast Asia. CoRR (2023)
Liying Cheng, Xingxuan Li, Lidong Bing
Is GPT-4 a Good Data Analyst? CoRR (2023)
Huiming Wang, Liying Cheng, Zhaodonghui Li, De Wen Soh, Lidong Bing
Semantic-Aware Contrastive Sentence Representation Learning with Large Language Models. CoRR (2023)
Guizhen Chen, Liying Cheng, Luu Anh Tuan, Lidong Bing
Exploring the Potential of Large Language Models in Computational Argumentation. CoRR (2023)
Liying Cheng, Xingxuan Li, Lidong Bing
Is GPT-4 a Good Data Analyst? EMNLP (Findings) (2023)
Liying Cheng, Longtao Jiang, Xiaowei Wang, Zuchen Liu, Shuai Zhao
Segmentation of lung parenchyma based on new U-NET network. Int. J. Wirel. Mob. Comput. 23 (2) (2022)
Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks. ACL (1) (2022)
Chenhui Shen, Liying Cheng, Lidong Bing, Yang You, Luo Si
SentBS: Sentence-level Beam Search for Controllable Summarization. CoRR (2022)
Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks. CoRR (2022)
Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, Luo Si
MReD: A Meta-Review Dataset for Structure-Controllable Text Generation. ACL (Findings) (2022)
Chenhui Shen, Liying Cheng, Lidong Bing, Yang You, Luo Si
SentBS: Sentence-level Beam Search for Controllable Summarization. EMNLP (2022)
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
Overview of Argumentative Text Understanding for AI Debater Challenge. NLPCC (2) (2021)
Liying Cheng, Tianyu Wu, Lidong Bing, Luo Si
Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding. ACL/IJCNLP (1) (2021)
Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation. ACL/IJCNLP (1) (2021)
Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, Luo Si
MReD: A Meta-Review Dataset for Controllable Text Generation. CoRR (2021)
Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation. CoRR (2021)
Liying Cheng, Yan Zhang, Dekun Wu, Zhanming Jie, Lidong Bing, Wei Lu, Luo Si
Knowledge Graph Empowered Entity Description Generation. CoRR (2020)
Liying Cheng, Dekun Wu, Lidong Bing, Yan Zhang, Zhanming Jie, Wei Lu, Luo Si
ENT-DESC: Entity Description Generation by Exploring Knowledge Graph. EMNLP (1) (2020)
Xiaowei Wang, Liying Cheng, Danyang Huang, Xuanshuang Gao, Daili Liang, Liuye He, Zhimei Zhang, Nan Li, Wenjun Tan
Segmentation of pulmonary vessels based on MSFM method. HealthCom (2020)
Liying Cheng, Lidong Bing, Qian Yu, Wei Lu, Luo Si
APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning. EMNLP (1) (2020)
Liying Cheng, Pei Zhang, Yan Ma
Route leakage detection algorithm based on new feature discovery. ICCIP (2018)
Zhimei Zhang, Shuang Qiao, Chunju Li, Honggang Wang, Yao Li, Liying Cheng
Evolutionary Design of Combinational Circuits Based on an Embryo Circuit Module. ICNC (1) (2008)