Papers with LLaMAv2
ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models (2024.naacl-long)
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| Challenge: | Detecting contradictions in texts is often regarded as determining relation between hypothesis and piece of premise. |
| Approach: | They propose a human-annotated dataset to study self-contradictions in long documents . they analyze the capabilities of four open-source and commercially available LLMs . |
| Outcome: | The proposed dataset outperforms open-source LLMs on document-level tasks but struggles with self-contradictions that require more nuance and context. |