Tag: Prompt Engineering

All the articles with the tag "Prompt Engineering".

• Prompt-Based Cost-Effective Evaluation and Operation of ChatGPT as a Computer Programming Teaching Assistant

  Published: 4 May, 2025 |  at  04:26 PM

  

  66.50 🤔

  本文通过设计基于ICL和CoT的提示模板，实现了ChatGPT在编程教育中的成本效益评估和操作，显著降低了手动评估需求并提升了反馈的结构化分析。

• Waking Up an AI: A Quantitative Framework for Prompt-Induced Phase Transition in Large Language Models

  Published: 7 May, 2025 |  at  09:31 AM

  

  64.57 🤔

  本文提出了一种双重提示框架（TIP和TQP）来量化大型语言模型（LLMs）的认知相变，发现LLMs对概念融合提示的情感反应与人类直觉差异显著，揭示了AI与人类认知在概念整合上的潜在鸿沟。

• The Promise and Limits of LLMs in Constructing Proofs and Hints for Logic Problems in Intelligent Tutoring Systems

  Published: 13 May, 2025 |  at  11:09 AM

  

  63.17 🤔

  This paper evaluates LLMs in intelligent tutoring systems for propositional logic, demonstrating DeepSeek-V3's promising accuracy in proof construction (up to 86.7%) and hint generation (75%), but reveals significant pedagogical limitations in justification and subgoaling, necessitating hybrid approaches for educational integration.

• Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision

  Published: 4 May, 2025 |  at  04:32 PM

  

  54.39 🤔

  本文提出Diff-Prompt方法，使用扩散模型基于掩码监督生成细粒度提示信息，显著提升预训练多模态模型在复杂指代表达理解任务上的性能，同时保持高效微调。

• Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition

  Published: 6 May, 2025 |  at  01:18 AM

  

  93.53 😐

  本文提出了 Trace-of-Thought Prompting，一种基于提示的知识蒸馏框架，通过将复杂问题分解为可管理的步骤，有效地将高资源模型的推理能力迁移到低资源模型，显著提升了低资源模型在算术推理任务上的表现，且无需大量微调。