7 papers
MLQENABLER: Enabling Secure Machine Learning Queries over Encrypted Database in Cloud Computing
Xu Zhou, Haoyang Chen, Xinyu Lei
In cloud computing, the public cloud service providers (CSPs) can provide cloud storage as the primary service while providing additional machine learning (ML)-based services by us…
Understanding Benchmark Language Under Weakened Formal Semantics
Haoyang Chen, Kumiko Tanaka-Ishii
State-of-the-art NLP benchmarks require interpretation of natural language that specifies conditions, procedures, and exceptions, often relying on implicit assumptions and external…
Editable XAI: Toward Bidirectional Human-AI Alignment with Co-Editable Explanations of Interpretable Attributes
Haoyang Chen, Jingwen Bai, Fang Tian +1
While Explainable AI (XAI) helps users understand AI decisions, misalignment in domain knowledge can lead to disagreement. This inconsistency hinders understanding, and because exp…
An evaluation of LLMs for political bias in Western media: Israel-Hamas and Ukraine-Russia wars
Rohitash Chandra, Haoyan Chen, Yaqing Zhang +2
Political bias in media plays a critical role in shaping public opinion, voter behaviour, and broader democratic discourse. Subjective opinions and political bias can be found in m…
Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective
Haoyang Chen, Richong Zhang, Junfan Chen
Large language models (LLMs) perform in-context learning (ICL) with minimal supervised examples, which benefits various natural language processing (NLP) tasks. One of the critical…
Scale-free Characteristics of Multilingual Legal Texts and the Limitations of LLMs
Haoyang Chen, Kumiko Tanaka-Ishii
We present a comparative analysis of text complexity across domains using scale-free metrics. We quantify linguistic complexity via Heaps' exponent (vocabulary growth), Taylor…