The proposed Pharos-ESG is a unified framework that transforms ESG reports into structured representations through multimodal parsing, contextual narration, and hierarchical labeling, and enriches its outputs with ESG, GRI, and sentiment labels, yielding annotations aligned with the analytical demands of financial rese...
Yan Chen, Yu Zou, Ji Zeng et al.· arXiv.org· 1 citation
Diffusion large language models (dLLMs) offer a promising parallel decoding paradigm as an alternative to autoregressive generation through iterative unmasking. However, dLLMs typically require many steps before token confidence reaches the decoding threshold, resulting in inefficient inference even with block-wise KV...
Li-Xuan Wei, Wei Zhou, Jian-Wen Wu et al.· 0 citations
AS-UNet, a lightweight U-Net variant with three targeted modifications, indicates a favorable balance between segmentation accuracy and computational efficiency for RGB optical landslide mapping.
Hao-Ran You, Cong Wang, Yu-Di Qin et al.· Italian National Conference...· 0 citations
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