REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models (2024.findings-naacl)
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| Challenge: | a new method for finding reliable and equitable LLM outputs is developed . REQUAL-LM does not require specialized hardware and does not impose a significant computing load . |
| Approach: | They propose a method for finding reliable and equitable LLM outputs through aggregation. |
| Outcome: | The proposed method minimizes harmful bias while finding reliable outputs . it does not require specialized hardware and does not impose a significant computing load . |
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