Papers with genuine content generation
CoCoNUTS: Concentrating on Content while Neglecting Uninformative Textual Styles for AI-Generated Peer Review Detection (2026.acl-long)
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| Challenge: | Existing detectors rely on stylistic cues to distinguish between surface-level language refinement and genuine content generation. |
| Approach: | They propose a content-based detection paradigm to detect substantive AI-generation . they propose 'CoCoDet' detector that can detect surface-level language refinement . |
| Outcome: | The proposed detector achieves a macro F1 score of 98.24% on permissible machine-polished reviews and maintains 3.89% false positive rate on real-world reviews. |