Papers by Huaxia Rui
Utterance-level Detection Framework for LLM-Involved Content Detection in Conversational Setting (2026.eacl-long)
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| Challenge: | Existing methods focus on static, document-level content, overlooking the dynamic nature of dialogues. |
| Approach: | They propose an utterance-level detection framework which integrates features from individual and combined analysis of dialogue participants’ responses to detect LLM-generated text under conversational setting. |
| Outcome: | The proposed framework achieves 98.14% accuracy with high inference speed and extensive results on different models and settings. |