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20242026
most citedSDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting

1 citations · 1 across the 4 of their papers we have counts for

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cs.AI2026

Attention Sees, MLP Refuses: Tracing the Attention-to-MLP Safety Pathway in LLMs

Zixuan Weng, Haoqi He, Weifei Jin +2

Safety-aligned large language models (LLMs) remain vulnerable to jailbreaks and can over-refuse benign requests. Understanding these failures requires distinguishing harmfulness re…

cs.LG2026

FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language Models

Zixuan Weng, Jinghuai Zhang, Kunlin Cai +3

Large language models (LLMs) often exhibit undesirable behaviors, such as safety violations and hallucinations. Although inference-time steering offers a cost-effective way to adju…