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Viet Dac Lai

المنشورات 2

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DISCO: Distributed Long Context Scaling with Grounding-Reasoning Disaggregation

While Large Language Models (LLMs) advertise million-token context windows, reasoning quality often collapses as inputs grow -- a phenomenon termed context rot. This failure stems from a structural entanglement in monolithic architectures, where the massive search burden of contextual grounding exhausts the representat …

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Looks the Same, Answers Differently: Flip-Direction Steering for Robust Vision-Language Reasoning

Yeonsung Jung, Joonhyun Jeong, Hoang Pham وآخرون · 2026

Vision-language models (VLMs) achieve strong visual reasoning performance, yet subtle changes from routine image capture and processing can alter their reasoning trajectories even when images appear nearly identical. In long-horizon generation, the resulting activation shifts may accumulate across decoding steps, progr …

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