Author

Fangyun Wang

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Aug 2026

A sustainable large language model predict framework for anaerobic digestion: bridging laboratory knowledge and industrial scaling.

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

Preprint Jul 2026

WuYuEval: A Multi-Level Benchmark for Large Language Models in Solid Waste Management

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