RAD-Bench: Evaluating Large Language Models’ Capabilities in Retrieval Augmented Dialogues (2025.naacl-industry)
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| Challenge: | Existing benchmarks assess LLMs' chat abilities in multi-turn dialogues or their use of retrieval for augmented responses in limited tasks such as knowledge QA or numeric reasoning. |
| Approach: | They propose a benchmark to evaluate LLMs' capabilities in multi-turn dialogues following retrievals. |
| Outcome: | The proposed benchmark evaluates LLMs' ability to perform in multi-turn dialogues following retrievals over 6 representative scenarios. |
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