LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models (2024.eacl-long)
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| Challenge: | Recent advances in large language models have enabled impressive zero-shot capabilities across various natural language tasks. |
| Approach: | They propose two ways to exploit the emergent abilities of large language models for NLG assessment. |
| Outcome: | The proposed methods improve performance and positional biases in comparisons between candidates. |
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