作者位次 #2/4ACL 2026Findings· Findings of ACL
V - R o L o RA : RLVR -Driven M o E Routing for Steerable Pluralistic Alignment
Jing Wang · Yaomin Wu · Yinglin Wang · Yitong Yang
摘要
Steerable pluralistic alignment aims to enable large language models (LLMs) to reliably adhere to diverse and potentially conflicting human values, particularly when target objectives involve multi-dimensional, compositional values. Current methods largely rely on prompt engineering or reasoning-...