Evaluating the Performance of Large Language Models via Debates (2025.findings-naacl)
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| Challenge: | Large Language Models (LLMs) are evolving and impacting various fields . current methods for evaluation are based on fixed, domain-specific questions or rely on human input, making them unscalable. |
| Approach: | They propose a benchmarking framework based on debates between LLMs, judged by another LLM. |
| Outcome: | The proposed framework achieves rankings that align closely with popular rankings based on human input eliminating the need for costly crowdsourcing. |
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