Context Attribution on CNN Dailymail (1000 examples)
1.48Log Probability DropConCite
Evaluation Results
| Method | Links | |
|---|---|---|
| ConCiteBackbone=Mistral, number of random samples (β)=642025.06 | 1.48 | |
| ConCiteBackbone=Llama-3, number of random samples (β)=642025.06 | 1.38 | |
| TokenShapleyBackbone=Mistral2025.06 | 1.33 | |
| TokenShapleyBackbone=Llama-32025.06 | 1.01 | |
| ConCiteBackbone=Mistral, number of random samples (β)=82025.06 | 0.91 | |
| ConCiteBackbone=Llama-3, number of random samples (β)=82025.06 | 0.88 | |
| HidSimBackbone=Llama-32025.06 | 0.72 | |
| EmbSimMethod Variant=OpenAI text embedding2025.06 | 0.46 | |
| HidSimBackbone=Mistral2025.06 | 0.3 |