CHARPEVAL: Benchmarking Large Language Models’ Contextual Reasoning in Knowledge-Grounded Dialogue (2025.findings-acl)
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| Challenge: | Existing benchmarks that evaluate the ability of Large Language Models (LLMs) to perform contextualized reasoning in knowledge-grounded dialogue scenarios are lacking. |
| Approach: | They propose a benchmark to evaluate the ability of Large Language Models to perform contextualized reasoning in knowledge-grounded dialogue scenarios. |
| Outcome: | The proposed benchmark shows that open-weight LLMs are ineffective at reasoning over discontinuous chunks of text across the input. |
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