2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2026
TW-LegalBench: Measuring Taiwanese Legal Understanding
Fei-Yueh Chen, Chun Huang Lin, Chan Wei Hsu +4
Large language models (LLMs) have shown impressive capabilities across diverse tasks, yet their performance on jurisdiction-specific legal reasoning remains underexplored. We prese…
cs.CL2024★ 2 cited
Legal Documents Drafting with Fine-Tuned Pre-Trained Large Language Model
Chun-Hsien Lin, Pu-Jen Cheng
With the development of large-scale Language Models (LLM), fine-tuning pre-trained LLM has become a mainstream paradigm for solving downstream tasks of natural language processing.…
cs.CL2022
An Evaluation Dataset for Legal Word Embedding: A Case Study On Chinese Codex
Chun-Hsien Lin, Pu-Jen Cheng
Word embedding is a modern distributed word representations approach widely used in many natural language processing tasks. Converting the vocabulary in a legal document into a wor…