May Myo Zin

Orcid: 0000-0001-9384-412X

According to our database1, May Myo Zin authored at least 19 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
GDPR Auto-Formalization with AI Agents and Human Verification.
CoRR, April, 2026

Legal2LogicICL: Improving Generalization in Transforming Legal Cases to Logical Formulas via Diverse Few-Shot Learning.
CoRR, April, 2026

Data Augmented Pipeline for Legal Information Extraction and Reasoning.
CoRR, January, 2026

Can Legislation Be Made Machine-Readable in PROLEG?
CoRR, January, 2026

FC-CONAN: An Exhaustively Paired Dataset for Robust Evaluation of Retrieval Systems.
CoRR, January, 2026

Improving Reliability in Multimodal Legal Interpretation of Traffic Signs.
Proceedings of the New Frontiers in Artificial Intelligence, 2026

An Empirical Study of Architectural Trade-Offs in Vision-Based Traffic Sign Interpretation Systems.
Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026

2025
Argumentative Reasoning with Language Models on Non-factorized Case Bases.
CoRR, December, 2025

From Court Decisions to Guiding Principles: Advancing Complex Legal Summarization with LLMs.
Proceedings of the Legal Knowledge and Information Systems, 2025

Towards Machine-Readable Traffic Laws: Formalizing Traffic Rules into PROLOG Using LLMs.
Proceedings of the Twentieth International Conference on Artificial Intelligence and Law, 2025

Data Augmented Pipeline for Legal Information Extraction and Reasoning.
Proceedings of the Twentieth International Conference on Artificial Intelligence and Law, 2025

2024
Layer-of-Thoughts Prompting (LoT): Leveraging LLM-Based Retrieval with Constraint Hierarchies.
CoRR, 2024

Leveraging LLM for Identification and Extraction of Normative Statements.
Proceedings of the Legal Knowledge and Information Systems, 2024

Addressing Annotated Data Scarcity in Legal Information Extraction.
Proceedings of the New Frontiers in Artificial Intelligence, 2024

2023
Information Extraction from Lengthy Legal Contracts: Leveraging Query-Based Summarization and GPT-3.5.
Proceedings of the Legal Knowledge and Information Systems, 2023

Improving Translation of Case Descriptions into Logical Fact Formulas using LegalCaseNER.
Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

2022
DbAPE: Denoising-Based APE System for Improving English-Myanmar NMT.
IEEE Access, 2022

Expand-Extract: A Parallel Corpus Mining Framework from Comparable Corpora for English-Myanmar Machine Translation.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

2021
Construct-Extract: An Effective Model for Building Bilingual Corpus to Improve English-Myanmar Machine Translation.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021


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