Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents

arXiv:2608.06312 · cs.CL · Submitted 2026-08-06 · Read on arXiv

Tao Wang, Qihao Yang, Rongjiao Liang, Lianghong Lin, Haitao Wang, Xinyu Cao, Tianyong Hao

cs.CL

Submitted: 2026-08-06

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 23× in this paper · explained in 2 episodes
• Consistency — 21× in this paper · explained in 3 episodes
• Verification — 12× in this paper · explained in 2 episodes
• Papers — 10× in this paper · explained in 3 episodes
• Benchmarking — 7× in this paper · explained in 4 episodes
• Evaluation Protocol — 6× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Localization — 5× in this paper · explained in 2 episodes
• Ablation Study — 3× in this paper · explained in 3 episodes
• Language Models (LLMs) — 3× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 9 episodes
• Multi-agent Collaboration — 3× in this paper · explained in 2 episodes
• Normative Modality Strength Review — 3× in this paper
• Core — 2× in this paper · explained in 2 episodes
• Error Localization — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Clarity — 1× in this paper · explained in 3 episodes
• Generator — 1× in this paper · explained in 2 episodes
• Hierarchical Structure — 1× in this paper · explained in 3 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Semantic Understanding — 1× in this paper · explained in 3 episodes
• Task Planning — 1× in this paper · explained in 2 episodes
• Workshop on Large Language Model — 1× in this paper

Sources

• The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence
• MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning
• TaskWeaver: A Code-First Agent Framework
• Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
• Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
• Qwen-Image Technical Report
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• Qwen2.5-1M Technical Report

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