Controlling Distributional Bias in Multi-Round LLM Generation via KL-Optimized Fine-Tuning

Yanbei Jiang, Amr Keleg, Ryandito Diandaru +4

While the real world is inherently stochastic, Large Language Models (LLMs) are predominantly evaluated on single-round inference against fixed ground truths. In this work, we shif…