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cs.CV2026
VideoLatent: Video-Language Learning via Latent Self-Forcing
Zi-Yuan Hu, Zicong Tang, Shijia Huang +3
Recent advancements in chain-of-thought (CoT) reasoning have shown promise in enhancing video understanding and reasoning capabilities of multimodal large language models (MLLMs).…
cs.CL2026
Membership Inference on LLMs in the Wild
Jiatong Yi, Yanyang Li
Membership Inference Attacks (MIAs) act as a crucial auditing tool for the opaque training data of Large Language Models (LLMs). However, existing techniques predominantly rely on…