Summary of Rfbes at Semeval-2024 Task 8: Investigating Syntactic and Semantic Features For Distinguishing Ai-generated and Human-written Texts, by Mohammad Heydari Rad et al.
RFBES at SemEval-2024 Task 8: Investigating Syntactic and Semantic Features for Distinguishing AI-Generated and Human-Written Texts
by Mohammad Heydari Rad, Farhan Farsi, Shayan Bali, Romina Etezadi, Mehrnoush Shamsfard
First submitted to arxiv on: 19 Feb 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper explores the challenge of detecting AI-generated texts from human-written ones. Large Language Models (LLMs) have become increasingly accessible, making it crucial to develop methods for identifying artificially generated content. The authors tackle this problem from two perspectives: semantics and syntax, presenting a model that achieves high accuracy on multilingual and monolingual tasks using the M4 dataset. Their findings suggest that a semantic approach is more effective for detection, while the syntactic approach has room for improvement and could be a fruitful area of future research. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI-generated texts can be hard to spot! This paper tries to solve this problem by looking at how language models generate text in different languages. They compare two ways: one that looks at what the words mean (semantics) and another that looks at how the sentences are structured (syntax). Their clever model does a great job of telling human-written texts apart from AI-generated ones, using real-world data called M4. The results show that looking at meaning is more helpful for detecting fake text. There’s still room to improve when it comes to syntax, so maybe future research can explore this further! |
Keywords
* Artificial intelligence * Semantics * Syntax
