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20232026
most citedA Theoretical Insight into Attack and Defense of Gradient Leakage in Transformer

3 citations · 10 across the 16 of their papers we have counts for

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5 papers · 1 filter

cs.LG2026

Recalibrating Many Questions with Few Labels: Minimax Rates and Identification Limits

Xiaoyu Li, Chiwun Yang

Many related prediction problems, which we call questions, come with few labels each. What information can be shared across them, and what is actually necessary for good decisions?…

cs.AI2026

The Singularity Has a Distribution: Exact Timing Laws and Detection Limits for a Stochastic Intelligence Explosion

Xiaoyu Li, Zheng Gao, Chiwun Yang +1

Automating AI research creates a positive feedback loop between software capability and research effort. We study a stochastic realisation of this loop in which independent, positi…

cs.LG2026

The Birkhoff Geometry of Manifold-Constrained Hyper-Connections: Two Channels, Vertex Viscosity, and Sinkhorn as a Retraction

Xiaoyu Li, Zhizhou Sha, Chiwun Yang

Hyper-connections widen the residual stream of a Transformer to parallel streams. Their manifold-constrained version (mHC) mixes the streams at each layer with a doubly stochas…

cs.LG2026

What Pretraining and Midtraining Make Learnable from Rewards?

Chiwun Yang, Xiaoyu Li

A reward can identify a correct answer while leaving the computation needed for new inputs undetermined. We study how pretraining and midtraining supply the information and computa…

cs.LG2026

Beyond Sparse Weights: When Is Attention Compressible?

Chiwun Yang, Xiaoyu Li

KV-cache compression is often justified by attention maps with a few large weights. This is incomplete: large weights may not contain most of the mass, omitted values can cancel, a…