46 citations · 81 across the 4 of their papers we have counts for
4 papers
TabSwift: An Efficient Tabular Foundation Model with Row-Wise Attention
Si-Yang Liu, Han-Jia Ye
Tabular foundation models, exemplified by TabPFN, perform prediction via in-context learning, inferring test labels directly from labeled training examples. They have demonstrated…
Defending Jailbreak Attacks on Large Language Models via Manifold Trajectory Kinetics
Hangtao Zhang, Yucheng Zhao, Sishun Liu +8
Jailbreak prompts can bypass alignment guardrails in large language models (LLMs) and elicit unsafe outputs, making reliable deployment-time detection critical. Prior detection app…
Mining the Benefits of Two-stage and One-stage HOI Detection
Aixi Zhang, Yue Liao, Si Liu +4
Two-stage methods have dominated Human-Object Interaction (HOI) detection for several years. Recently, one-stage HOI detection methods have become popular. In this paper, we aim to…
Open Category Detection with PAC Guarantees
Si Liu, Risheek Garrepalli, Thomas G. Dietterich +2
Open category detection is the problem of detecting "alien" test instances that belong to categories or classes that were not present in the training data. In many applications, re…