AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This paper makes the first attempt to fine-tune MoE models with MoE-style low-rank adaptation via a dual-channel Routing-Conditioned Projection module, which reuses base router activations to inform LoRA routing and introduces a single global LoRA expert pool shared across all layers.
This work introduces a student reference KL loss and mask the advantages of special termination tokens to mitigate the problem of excessive generation length and frequent truncation, and improves on science benchmarks such as HLE and HiPhO, suggesting that OPD transfers reasoning capabilities that generalize beyond the mathematical training domain.
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