Oct 2026
MMT: Achieving Exact Federated Unlearning with Improved Post-unlearning Performance
Ze-Yu Zhang, N. Bui, A. Verma et al.
· Machine-mediated learning · 1 citation
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AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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#artificial intelligence
Feb 2026
MineDraft: A Framework for Batch Parallel Speculative Decoding
MineDraft, a batch parallel speculative decoding framework designed to effectively hide drafting latency by overlapping it with verification, is proposed, and the theoretical analysis shows that PSD is substantially more efficient than standard SD.
Zhenwei Tang, A. Verma, Zijian Zhou et al.
· arXiv.org · 2 citations
Keep Everyone Happy: Online Fair Division of Numerous Items with Few Copies
This paper proposes algorithms that model online fair division as a contextual bandit problem and achieve provable sublinear regret and proposes algorithms that model utility is an unknown function of item-agent features.
A. Verma, Indrajit Saha, Makoto Yokoo et al.
· 4 citations
Scaling Near-Optimal SFT-RL Annotation Budget Allocation from Small to Large LLMs
This work describes the near-optimal region, the set of allocations within a specified tolerance of peak performance, which is wide even for small tolerances, widens with model scale, and transfers reliably from small proxy models to large target models.
Jingtan Wang, A. Verma, Xiaoqiang Lin et al.
· 0 citations