VALUEFLOW has been selected for an oral presentation at ICML 2026!

We are excited to share that our paper, VALUEFLOW: Toward Pluralistic and Steerable Value-based Alignment in Large Language Models, has been selected for an oral presentation at The International Conference on Machine Learning (ICML 2026).

This recognition highlights the significance of our work on pluralistic value-based alignment in large language models. VALUEFLOW introduces a unified framework spanning value extraction, evaluation, and steering with calibrated intensity control, enabling more fine-grained and controllable value alignment.

Paper:

• VALUEFLOW: Toward Pluralistic and Steerable Value-based Alignment in Large Language Models - Woojin Kim*, Sieun Hyeon, Jusang Oh, Jaeyoung Do^

Congratulations to all the authors!