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Weiyang Guo

2 accepted papers

2026

Multi-objective Large Language Model Alignment with Hierarchical Experts

ICLR 2026poster

Aligning large language models (LLMs) to simultaneously satisfy multiple objectives remains a significant challenge, especially given the diverse and often conflicting nature of human preferences. Existing alignment methods struggle to balance trade-offs effectively, often requiring costly retrainin…

Cited by 0SourceScholar
2025

MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming

ACL 2025long

The proliferation of jailbreak attacks against large language models (LLMs) highlights the need for robust security measures. However, in multi-round dialogues, malicious intentions may be hidden in interactions, leading LLMs to be more prone to produce harmful responses. In this paper, we propose t…