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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.LG2026

Hidden Gauge Controls Feature Specialization in ReLU Networks

Tongxi Wang

Training changes a network's predictions while allocating task-relevant structure across its internal units. In an overparameterized ReLU network, several neurons can begin with ex…

cs.LG2026

Tracking Drift: Variation-Aware Entropy Scheduling for Non-Stationary Reinforcement Learning

Tongxi Wang, Zhuoyang Xia, Xinran Chen +1

The paper proposes an adaptive method for adjusting the entropy coefficient in reinforcement learning to handle non‑stationary environments, using online drift proxies to scale exp…

cs.LG2026

Sharp Spectral Thresholds for Logit Fixed Points

Tongxi Wang

Softmax feedback systems are a common mathematical core of entropy-regularized reinforcement learning, logit game dynamics, population choice, and mean-field variational updates. T…

cs.AI2026

FBS: Modeling Native Parallel Reading inside a Transformer

Tongxi Wang

Large language models (LLMs) excel across many tasks, yet inference is still dominated by strictly token-by-token autoregression. Existing acceleration methods largely patch this p…

cs.LG2026

Stability of In-Context Learning: A Spectral Coverage Perspective

Tongxi Wang, Zhuoyang Xia

In-context learning (ICL) is a pivotal capability for the practical deployment of large-scale language models, yet its reliability can vary substantially with the number of demonst…

cs.CL2026

ChiEngMixBench: Evaluating Large Language Models on Expert-Style Chinese-English Terminology Mixing

Qingyan Yang, Tongxi Wang, Yunsheng Luo

Large language models increasingly mediate multilingual professional communication, where useful generation requires adapting to community conventions about which expressions are r…