Papers by Terry Zhuo

2 papers
Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer? (2023.findings-emnlp)

Copied to clipboard

Challenge: Large Language Models (LLMs) have attracted a lot of attention in the legal domain due to their ability to tackle a variety of legal tasks.
Approach: They constructed a corpus consisting of two legal scenarios using the IRAC method and used it to perform analysis on the corpus.
Outcome: The proposed model can analyze a contract act in Malaysia and the Australian Social Act for Dependent Child using the IRAC method.
DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text (2023.findings-emnlp)

Copied to clipboard

Challenge: Large language models generate huge amounts of text, making it impractical to manually distinguish whether a text is machine-generated.
Approach: They propose two methods to detect machine-generated text by leveraging Log-Rank information and propose a faster method that uses less perturbations to achieve the same level of performance.
Outcome: The proposed methods improve over the state of the art by 3.9 and 1.75 AUROC points absolute and require less perturbations to achieve the same level of performance.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations