Entriever: Energy-based Retriever for Knowledge-Grounded Dialog Systems (2025.findings-acl)
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| Challenge: | Existing knowledge retrieval methods fail to account for interrelationship between knowledge pieces . however, current methods fail in a situation where multiple knowledge pieces are relevant . |
| Approach: | They propose an energy-based retriever that directly models the candidate retrieval results as a whole instead of modeling the knowledge pieces separately. |
| Outcome: | The proposed retriever outperforms the baseline energy-based retriever in knowledge retrieval tasks. |
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