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Shanghai Jiao Tong University
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Static leaderboards can mislead deployment decisions, as a system with higher factuality may actually be less efficient when compute costs are factored in.
Logos present a unique challenge for concept unlearning, revealing that current methods often fail to erase them without compromising the integrity of the surrounding image.
MiniMax-M2 proves that massive parameter counts don't always translate to better agentic performance; strategic activation of a smaller subset can unlock frontier-level intelligence.
Autonomous, distributed control of cell-free massive MIMO networks slashes power consumption by over 50% without sacrificing connection quality.
