Xing Xie

A 7B parameter model, optimized with multi-task learning and RL, rivals the timeline summarization performance of a 671B parameter model, proving that task-specific fine-tuning can dramatically shrink model size without sacrificing quality.

Fine-tuning LLMs to emulate specific cultural values improves average accuracy, but simultaneously widens the disparity in performance between demographic subgroups.