Cheng Liying's Homepage

I am currently on my career break. I was an algorithm engineer at Alibaba DAMO Academy, Singapore. My research direction was mainly the evaluation and applications of LLMs. I obtained my Ph.D. degree from Singapore University of Technology and Design (SUTD) and Alibaba DAMO Academy. I am honored to be advised by Prof. Lu Wei and Dr. Bing Lidong. During my PhD study, my research focused on argument mining, text generation, summarization, etc. I received my Bachelor's degree (Summa Cum Laude) from Singapore University of Technology and Design.

Email: chengliying9581 at gmail.com

[GitHub] [Google Scholar]

Publications and Preprints

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

In ACL 2024 System Demonstration Track

[paper] [code]
Exploring the Potential of Large Language Models in Computational Argumentation

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

In Proceedings of ACL 2024 (Long)

[paper] [code]
Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition

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

In Proceedings of ACL 2024 (Long)

[paper] [code]
Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning

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

In Proceedings of NAACL 2024 (Long)

[paper] [code]
Is GPT-4 a Good Data Analyst?

Liying Cheng, Xingxuan Li, Lidong Bing

In Findings of EMNLP 2023 (Long)

[paper] [code]
Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization

Chenhui Shen, Liying Cheng, Yang You, Lidong Bing

In Findings of EMNLP 2023 (Long)

[paper] [code]
A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization

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

In Findings of EMNLP 2023 (Long)

[paper] [code]
Unlocking Temporal Question Answering for Large Language Models Using Code Execution

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

Arxiv Preprint

[paper] [code]
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach

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

In Findings of ACL 2023 (Long)

[paper] [code]
SentBS: Sentence-level Beam Search for Controllable Summarization

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

In Proceedings of EMNLP 2022 (Short)

[paper] [code]
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks

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

In Proceedings of ACL 2022 (Long)

[paper] [code]
MReD: A Meta-Review Dataset for Controllable Text Generation

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

In Findings of ACL 2022 (Long)

[paper] [code]
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

In Proceedings of NLPCC 2021

[paper]
Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding

Liying Cheng, Tianyu Wu, Lidong Bing, Luo Si

In Proceedings of ACL 2021 (Long)

[paper] [code]
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

In Proceedings of ACL 2021 (Long)

[paper]
APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning

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

In Proceedings of EMNLP 2020 (Long)

[paper] [code]
ENT-DESC: Entity Description Generation by Exploring Knowledge Graph

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

In Proceedings of EMNLP 2020 (Long)

[paper] [code]