AI RESEARCH

LLM-VA: Resolving the Jailbreak-Overrefusal Trade-off via Vector Alignment

arXiv CS.LG

ArXi:2601.19487v2 Announce Type: replace Safety-aligned LLMs suffer from two failure modes: jailbreak (answering harmful inputs) and over-refusal (declining benign queries). Existing vector steering methods adjust the magnitude of answer vectors, but this creates a fundamental trade-off -- reducing jailbreak increases over-refusal and vice versa. We identify the root cause: LLMs encode the decision to answer (answer vector $v_a$) and the judgment of input safety (benign vector $v_b$) as nearly orthogonal directions, treating them as independent processes.