Haibo Jin

Controlling Output Rankings in Generative Engines for LLM-based Search

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models

Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization

Evaluating the Inductive Abilities of Large Language Models: Why Chain-of-Thought Reasoning Sometimes Hurts More Than Helps

GUARD: Guideline Upholding Test through Adaptive Role-play and Jailbreak Diagnostics for LLMs

GuardVal: Dynamic Large Language Model Jailbreak Evaluation for Comprehensive Safety Testing

HessianGrad: Optimizing AI Systems with Hessian-Aware Textual Gradients