2024
REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models
NAACL 2024findings
The extensive scope of large language models (LLMs) across various domains underscores the critical importance of responsibility in their application, beyond natural language processing. In particular, the randomized nature of LLMs, coupled with inherent biases and historical stereotypes in data, ra…