4 papers
Does Engram Do Memory Retrieval in Autoregressive Image Generation?
Jinghao Wang, Qiyuan He, Chunbin Gu +1
The Engram module -- a hash-keyed, O(1) associative memory injected into Transformer layers -- was recently shown to improve large language model pretraining, with the appealing in…
A Practical Framework for Evaluating Medical AI Security: Reproducible Assessment of Jailbreaking and Privacy Vulnerabilities Across Clinical Specialties
Jinghao Wang, Ping Zhang, Carter Yagemann
Medical Large Language Models (LLMs) are increasingly deployed for clinical decision support across diverse specialties, yet systematic evaluation of their robustness to adversaria…
REAR: Rethinking Visual Autoregressive Models via Generator-Tokenizer Consistency Regularization
Qiyuan He, Yicong Li, Haotian Ye +6
Visual autoregressive (AR) generation offers a promising path toward unifying vision and language models, yet its performance remains suboptimal against diffusion models. Prior wor…
STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization
Xijun Li, Jiexiang Yang, Jinghao Wang +3
Combinatorial optimization (CO) problems, central to operation research and theoretical computer science, present significant computational challenges due to their NP-hard nature.…