6 papers
Identity-Decoupled Anonymization for Visual Evidence in Multi-modal Retrieval-Augmented Generation
Zehua Cheng, Wei Dai, Jiahao Sun
Multi-modal retrieval-augmented generation (MRAG) systems retrieve visual evidence from large image corpora to ground the responses of large multi-modal models, yet the retrieved i…
CircuitSynth: Reliable Synthetic Data Generation
Zehua Cheng, Wei Dai, Jiahao Sun +1
The generation of high-fidelity synthetic data is a cornerstone of modern machine learning, yet Large Language Models (LLMs) frequently suffer from hallucinations, logical inconsis…
Constrained Policy Optimization for Provably Fair Order Matching
Zehua Cheng, Zhipeng Wang, Wei Dai +5
Automated matching engines execute millions of orders per session, yet systematic asymmetries in latency, order size, and market access compound into persistent execution dispariti…
Visual Set Program Synthesizer
Zehua Cheng, Wei Dai, Wenhu Zhang +2
A user pointing their phone at a supermarket shelf and asking "Which soda has the least sugar?" poses a difficult challenge for current visual Al assistants. Such queries require n…
Provable Defense Framework for LLM Jailbreaks via Noise-Augumented Alignment
Zehua Cheng, Jianwei Yang, Wei Dai +1
Large Language Models (LLMs) remain vulnerable to adaptive jailbreaks that easily bypass empirical defenses like GCG. We propose a framework for certifiable robustness that shifts…
A Control Theoretic Approach to Decentralized AI Economy Stabilization via Dynamic Buyback-and-Burn Mechanisms
Zehua Cheng, Wei Dai, Zhipeng Wang +3
The democratization of artificial intelligence through decentralized networks represents a paradigm shift in computational provisioning, yet the long-term viability of these ecosys…