Papers by Xinhao Tan
Open-World Authorship Attribution (2025.findings-acl)
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| Challenge: | Existing benchmarks for large language models do not evaluate their performance in academic research . authors aim to identify authors from anonymous text without additional information . |
| Approach: | They propose a benchmark to quantitatively assess LLMs' ability to infer author from text . they propose 'open-world' authorship attribute' to be a two-stage framework . |
| Outcome: | The proposed approach achieves 60.7% accuracy and 44.3% accuracy in two stages. |