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New LLMTrace corpus aids AI text detection with character-level annotations

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced LLMTrace, a new bilingual corpus designed to improve the detection of AI-generated text. This dataset, available in English and Russian, addresses limitations of existing corpora by using a variety of modern LLMs and providing character-level annotations for fine-grained localization of AI-written segments. LLMTrace is intended to support both binary classification of human versus AI text and the more precise task of identifying AI-generated intervals within documents. AI

IMPACT Facilitates the development of more accurate AI-generated text detection tools, crucial for academic integrity and content authenticity.

RANK_REASON The cluster describes a new academic paper introducing a dataset for AI text detection. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New LLMTrace corpus aids AI text detection with character-level annotations

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The cluster describes a new academic paper introducing a dataset for AI text detection. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Irina Tolstykh, Aleksandra Tsybina, Sergey Yakubson, Maksim Kuprashevich ·

    LLMTrace: A Corpus for Classification and Fine-Grained Localization of AI-Written Text

    arXiv:2509.21269v2 Announce Type: replace Abstract: The widespread use of human-like text from Large Language Models (LLMs) necessitates the development of robust detection systems. However, progress is limited by a critical lack of suitable training data; existing datasets are o…

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