ArXiv TLDR

Yue Huang

3 papers · Latest:

Natural Language Processing

PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models

PolicyLLM introduces PolicyBench, a cross-system benchmark, and PolicyMoE, an MoE model, to evaluate and enhance LLM comprehension of public policy.

2604.12995
Machine Learning

Bringing Clustering to MLL: Weakly-Supervised Clustering for Partial Multi-Label Learning

WSC-PML introduces a novel weakly-supervised clustering method for partial multi-label learning, effectively handling label noise through matrix decomposition.

2604.09359
Machine Learning

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning

PML-MA aligns features and labels as modalities, using pseudo-labels and prototype learning to robustly handle noisy data in partial multi-label learning.

2604.09064

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