Hsuan-Lei Shao

Orcid: 0000-0002-7101-5272

According to our database1, Hsuan-Lei Shao authored at least 12 papers between 2018 and 2025.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
From Text to Network: Constructing a Knowledge Graph of Taiwan-Based China Studies Using Generative AI.
CoRR, May, 2025

Continual Pre-Training is (not) What You Need in Domain Adaption.
CoRR, April, 2025

TMULLA at the NTCIR-18 MedNLP-CHAT Task.
Proceedings of the 18th NTCIR Conference on Evaluation of Information Access Technologies, 2025

Structured Evaluation of Legal Reasoning in LLMs: Chain-of-Thought Prompting and Human Scoring for RetrievalRobustness.
Proceedings of the Eleventh International Workshop on Evaluating Information Access, 2025

2024
Comparison between the Structures of Word Co-occurrence and Word Similarity Networks for Ill-formed and Well-formed Texts in Taiwan Mandarin.
CoRR, 2024

Judgment2vec: Apply Graph Analytics to Searching and Recommendation of Similar Judgments.
CoRR, 2024

Explainable AI for Real Legal Judgments: Sentencing Model and Salience Maps for Text.
Proceedings of the Legal Knowledge and Information Systems, 2024

2022
Less is Better: Constructing Legal Question Answering System by Weighing Longest Common Subsequence of Disjunctive Union Text.
Proceedings of the New Frontiers in Artificial Intelligence, 2022

2021
Prediction Model for Drunk Driving Sentencing: Applying TextCNN to Chinese Judgement Texts.
Proceedings of the New Frontiers in Artificial Intelligence, 2021

Applying decision tree analysis to family court decisions: factors determining child custody in Taiwan.
Proceedings of the ICAIL '21: Eighteenth International Conference for Artificial Intelligence and Law, São Paulo Brazil, June 21, 2021

2020
BERT-Based Ensemble Model for Statute Law Retrieval and Legal Information Entailment.
Proceedings of the New Frontiers in Artificial Intelligence, 2020

2018
How the Taiwanese Do China Studies: Applications of Text Mining.
J. Data Min. Digit. Humanit., 2018


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