Papers by Zhanwei Cao
Temporal Flattening in LLM-Generated Text: Comparing Human and LLM Writing Trajectories (2026.findings-acl)
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| Challenge: | Large language models (LLMs) are increasingly used in daily applications, from content generation to code writing. |
| Approach: | They construct a longitudinal dataset of 412 human authors and 6,086 documents spanning 2012–2024 and compare them to trajectories generated by three representative LLMs. |
| Outcome: | The results show that LLMs produce greater lexical diversity but exhibit substantially reduced semantic and cognitive–emotional drift relative to humans. |