Liying Cheng

Orcid: 0009-0002-3071-4920

According to our database1, Liying Cheng authored at least 30 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Early Detection of Ripeness for the Picking of Xanthoceras Sorbifolium Using Feature Excitation-Based Broad Learning System.
IEEE Access, 2024

Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Reasoning Robustness of LLMs to Adversarial Typographical Errors.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Exploring the Potential of Large Language Models in Computational Argumentation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Broad learning solution for rapid diagnosis of COVID-19.
Biomed. Signal Process. Control., May, 2023

SeaLLMs - Large Language Models for Southeast Asia.
CoRR, 2023

Semantic-Aware Contrastive Sentence Representation Learning with Large Language Models.
CoRR, 2023

Unlocking Temporal Question Answering for Large Language Models Using Code Execution.
CoRR, 2023

Are Large Language Models Good Evaluators for Abstractive Summarization?
CoRR, 2023

Enhancing Few-shot NER with Prompt Ordering based Data Augmentation.
CoRR, 2023

A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Is GPT-4 a Good Data Analyst?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Segmentation of lung parenchyma based on new U-NET network.
Int. J. Wirel. Mob. Comput., 2022

SentBS: Sentence-level Beam Search for Controllable Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MReD: A Meta-Review Dataset for Structure-Controllable Text Generation.
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.
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.
CoRR, 2021

Overview of Argumentative Text Understanding for AI Debater Challenge.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation.
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.
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.
CoRR, 2020

Segmentation of pulmonary vessels based on MSFM method.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

ENT-DESC: Entity Description Generation by Exploring Knowledge Graph.
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.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2018
Route leakage detection algorithm based on new feature discovery.
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.
Int. J. Inf. Syst. Supply Chain Manag., 2015

2008
Evolutionary Design of Combinational Circuits Based on an Embryo Circuit Module.
Proceedings of the Fourth International Conference on Natural Computation, 2008


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