most citedDependency Learning for Legal Judgment Prediction with a Unified Text-to-Text Transformer

12 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2023

FAIR: Flow Type-Aware Pre-Training of Compiler Intermediate Representations

Changan Niu, Chuanyi Li, Vincent Ng +2

While the majority of existing pre-trained models from code learn source code features such as code tokens and abstract syntax trees, there are some other works that focus on learn…

cs.CL2023

Judicial Intelligent Assistant System: Extracting Events from Divorce Cases to Detect Disputes for the Judge

Yuan Zhang, Chuanyi Li, Yu Sheng +2

In formal procedure of civil cases, the textual materials provided by different parties describe the development process of the cases. It is a difficult but necessary task to extra…

cs.SE20233 cited

CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models

Changan Niu, Chuanyi Li, Vincent Ng +1

Despite the recent advances showing that a model pre-trained on large-scale source code data is able to gain appreciable generalization capability, it still requires a sizeable amo…

cs.SE20237 cited

An Empirical Comparison of Pre-Trained Models of Source Code

Changan Niu, Chuanyi Li, Vincent Ng +3

While a large number of pre-trained models of source code have been successfully developed and applied to a variety of software engineering (SE) tasks in recent years, our understa…

cs.CL202112 cited

Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text Transformer

Yunyun Huang, Xiaoyu Shen, Chuanyi Li +2

Given the fact of a case, Legal Judgment Prediction (LJP) involves a series of sub-tasks such as predicting violated law articles, charges and term of penalty. We propose leveragin…