Multi-author style detection with stylistic embeddings
arXiv:2610.24184v1 Announce Type: new Abstract: We investigate the use of Large Language Models (LLMs) in multi-author style change detection. Using off-the-shelf LLMs or supervised fine-tuning solely within the target domain fails to yield effective features; for this reason, we propose cross-doma…
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- 2026-10-20 04:00 · arXiv cs.CL
Multi-author style detection with stylistic embeddings