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cs.CL2026
MME-Safety: A Fine-grained Benchmark for Safety Evaluation of MLLMs
Yilian Shi, Yueming Lyu, Haoxiang Tan +5
While Multimodal Large Language Models (MLLMs) show remarkable advancements, their cross-modal capabilities introduce complex vulnerabilities that easily bypass unimodal filters. E…
cs.CL2026
AURORA-LM: Autoencoding Unified Representation for Continuous-Latent Diffusion Language Modeling
Jiajun Liang, Yucheng Liao, Yukang Cao +12
Language remains an outlier in generative modeling: while images, video, and audio are increasingly modeled in continuous latent spaces, text generation still relies predominantly…