Enhancing Large Language Model-Based Systems for End-to-End Circuit Analysis Problem Solving

arXiv:2512.10159 · cs.CY, cs.AI, cs.HC · Submitted 2025-12-10 · Read on arXiv

cs.CY, cs.AI, cs.HC

Submitted: 2025-12-10

Updated: 2026-09-14

Comments: Liangliang Chen, Weiyu Sun, and Huiru Xie contributed equally to this work

Code: https://github.com/ultralytics/assets

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

Terminology

• Accuracy — 47× in this paper · explained in 1 episode
• Hallucination — 43× in this paper · explained in 3 episodes
• Verification — 29× in this paper · explained in 2 episodes
• Human-in-the-Loop — 15× in this paper · explained in 3 episodes
• Benchmark — 11× in this paper · explained in 2 episodes
• Consistency — 7× in this paper · explained in 3 episodes
• Generalizability — 6× in this paper · explained in 6 episodes
• Robustness — 6× in this paper · explained in 5 episodes
• Benchmarking — 5× in this paper · explained in 3 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Failure Modes — 3× in this paper · explained in 3 episodes
• Prompt Engineering — 3× in this paper · explained in 4 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Hybrid Approach — 2× in this paper · explained in 4 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• RAG — 2× in this paper · explained in 3 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• AI Literacy — 1× in this paper · explained in 1 episode
• Ablation Studies — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Sample Efficiency — 1× in this paper · explained in 4 episodes
• Vision-Language Models (VLMs) — 1× in this paper · explained in 6 episodes

Sources

• GPT-4 Technical Report
• Program Synthesis with Large Language Models
• On the application of Large Language Models for language teaching and assessment technology
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education
• Retrieval-Augmented Generation for Large Language Models: A Survey
• DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
• AITEE -- Agentic Tutor for Electrical Engineering
• DeepSeek-V3 Technical Report
• FEABench: Evaluating Language Models on Multiphysics Reasoning Ability
• A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• CIRCUIT: A Benchmark for Circuit Interpretation and Reasoning Capabilities of LLMs
• EDU-CIRCUIT-HW: Evaluating Multimodal Large Language Models on Real-World University-Level STEM Student Handwritten Solutions
• Large Language Models for Education: A Survey and Outlook
• ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models
• EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving

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