Papers with real-world LLM-generated text detection

1 papers
EvoBench: Towards Real-world LLM-Generated Text Detection Benchmarking for Evolving Large Language Models (2025.findings-acl)

Copied to clipboard

Challenge: Existing methods to detect LLM-generated texts rely on static benchmarks that neglect the evolving nature of LLMs.
Approach: They propose a benchmark to evaluate the generalization of LLM-generated text detection methods.
Outcome: The proposed benchmark measures generalization of 14 detection methods across LLMs.

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