activity
20242026
most citedFreqMark: Frequency-Based Watermark for Sentence-Level Detection of LLM-Generated Text

1 citations · 3 across the 9 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.CY2024

Logic Error Localization in Student Programming Assignments Using Pseudocode and Graph Neural Networks

Zhenyu Xu, Kun Zhang, Victor S. Sheng

Pseudocode is extensively used in introductory programming courses to instruct computer science students in algorithm design, utilizing natural language to define algorithmic behav…

cs.SE2024

LecPrompt: A Prompt-based Approach for Logical Error Correction with CodeBERT

Zhenyu Xu, Victor S. Sheng

Logical errors in programming don't raise compiler alerts, making them hard to detect. These silent errors can disrupt a program's function or cause run-time issues. Their correcti…

cs.CL2024★ 1 cited

FreqMark: Frequency-Based Watermark for Sentence-Level Detection of LLM-Generated Text

Zhenyu Xu, Kun Zhang, Victor S. Sheng

The increasing use of Large Language Models (LLMs) for generating highly coherent and contextually relevant text introduces new risks, including misuse for unethical purposes such…

cs.CR2024★ 1 cited

Signal Watermark on Large Language Models

Zhenyu Xu, Victor S. Sheng

As Large Language Models (LLMs) become increasingly sophisticated, they raise significant security concerns, including the creation of fake news and academic misuse. Most detectors…

cs.SE2024

Multi-Task Program Error Repair and Explanatory Diagnosis

Zhenyu Xu, Victor S. Sheng

Program errors can occur in any type of programming, and can manifest in a variety of ways, such as unexpected output, crashes, or performance issues. And program error diagnosis c…