Traditional machine learning (ML) generalizes poorly in anaerobic digestion (AD) prediction, failing to interpret unstructured contextual data. To bridge theoretical mechanisms and industrial scaling, we propose a knowledge-driven, multimodal large language model (LLM) framework with a two-stage strategy: literature pr...
Yi Zhang, Peng Quan, Fangyun Wang et al.· Bioresource Technology· 0 citations
WuYuEval is introduced, a multi-level benchmark for evaluating LLMs in SWM across foundational knowledge, domain reasoning, and expert decision-making and suggests that visible deliberation helps only when it remains anchored to units, assumptions, and engineering constraints; otherwise, it may drift from decisive answ...
Yi Zhang, Hongyang Wang, Zheng Hao Leong et al.· 0 citations
WuYu-EnvLE-Bench is introduced, a benchmark built from real enforcement cases, regulatory standards, and expert review that highlights the need for evidence-grounded, rule-aware, and task-adaptive enforcement reasoning.
Zi-Liang Yang, Yi Zhang, K. Lin et al.· arXiv.org· 0 citations
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