Darya Rudas
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126
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AI×1ML×1
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2026
Extreme Low-Bit Inference in Reasoning Models: Failure Modes and Targeted Recovery
The paper analyzes the failure modes of aggressive 2-bit quantization in large reasoning models, proposing lightweight controls like FP16 planning and loop rescue to restore accuracy and achieve practical end-to-end speedup.
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