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Current AI systems struggle to conduct independent scientific research, with performance plummeting by nearly 50% when human guidance is removed.
Stagnant neurons in MARL can cripple learning, but KNIFE revitalizes them, leading to substantial performance gains in complex environments.
Quantizing video diffusion models to W4A4 doesn't have to tank performance: expert- and timestep-aware calibration unlocks 59% memory savings with negligible quality loss.
