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Wanlong Yu

2 accepted papers

2026

WALKSAFE: Risk-aware Graph Random Walk with Bi-GRPO for LLM Safety

AAAI 2026technical

Large language models (LLMs) may generate harmful outputs on malicious inputs. Existing safety methods, including prompt engineering and model editing, rely on hand-crafted templates or target-driven parameter modifications, limiting their generalizability in unseen harmful scenarios. Post-training

Cited by 0SourcePDFScholar
2025

AGD: Adversarial Game Defense Against Jailbreak Attacks in Large Language Models

ACL 2025long

LLMs demonstrate remarkable utility but remain vulnerable to jailbreak attacks that aim to elicit harmful responses. Existing defenses, including post-training alignment and prompt engineering, rely on training on safety-annotated datasets and safe prompt templates, struggling with adaptability to o…