Strengthened Symbol Binding Makes Large Language Models Reliable
Multiple-Choice Selectors
Strengthened Symbol Binding Makes Large Language Models Reliable
Multiple-Choice Selectors
Multiple-Choice Questions (MCQs) constitute a critical area of research in the study of Large Language Models (LLMs). Previous works have investigated the selection bias problem in MCQs within few-shot scenarios, in which the LLM's performance may be influenced by the presentation of answer choices, leaving the selection bias during Supervised …