Shuaimin Li
Orcid: 0000-0002-8368-916X
According to our database1,
Shuaimin Li authored at least 21 papers
between 2018 and 2026.
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Bibliography
2026
CoTJudger: A Graph-Driven Framework for Automatic Evaluation of Chain-of-Thought Efficiency and Redundancy in LRMs.
CoRR, March, 2026
Automatic Paper Reviewing with Heterogeneous Graph Reasoning over LLM-Simulated Reviewer-Author Debates.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
OsmT: Bridging OpenStreetMap Queries and Natural Language with Open-source Tag-aware Language Models.
CoRR, December, 2025
prompt4vis: prompting large language models with example mining for tabular data visualization.
VLDB J., July, 2025
xJailbreak: Representation Space Guided Reinforcement Learning for Interpretable LLM Jailbreaking.
CoRR, January, 2025
Neurocomputing, 2025
DataVisT5: A Pre-Trained Language Model for Jointly Understanding Text and Data Visualization.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
RoDEval: A Robust Word Sense Disambiguation Evaluation Framework for Large Language Models.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
Correction to: HierMDS: a hierarchical multi-document summarization model with global-local document dependencies.
Neural Comput. Appl., July, 2024
CoRR, 2024
Prompt4Vis: Prompting Large Language Models with Example Mining and Schema Filtering for Tabular Data Visualization.
CoRR, 2024
2023
MRC-Sum: An MRC framework for extractive summarization of academic articles in natural sciences and medicine.
Inf. Process. Manag., September, 2023
A Novel Clinical Trial Prediction-Based Factual Inconsistency Detection Approach for Medical Text Summarization.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
KAAS: A Keyword-Aware Attention Abstractive Summarization Model for Scientific Articles.
Proceedings of the Database Systems for Advanced Applications, 2022
2021
A two-step abstractive summarization model with asynchronous and enriched-information decoding.
Neural Comput. Appl., 2021
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021
2019
Commun. Inf. Syst., 2019
2018
Proceedings of the Web and Big Data, 2018