Author

Wei Wang

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#machine learning Preprint Oct 2026

When Does Depth Help? Understanding Layerwise Inference in Tabular Foundation Models

Transformer-based tabular foundation models (TFMs) achieve state-of-the-art performance on small to medium-sized tabular prediction tasks while processing diverse inputs through a shared stack of layers. Recent layerwise analyses identify strong predictive performance in early TFM representations and substantial overla...

Wen-Wen Gong, Hao-Tian Gu, Zhen Yang et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Can Agents Forget When Asked? A Benchmark for Memory Unlearning in LLM Agents

Long-term memory has become a core component of large language model (LLM) agents. As agents accumulate personal information over long-term use, users increasingly ask them to delete sensitive or outdated facts. A memory system should honor such requests. It should remove exactly what was requested and keep the rest of...

Bo-Fan Xie, Chao-Kun Wang, Guan-Chen Ge et al. · 0 citations