格式与提示词微观调整如何影响大模型编码表现？这项对照实验给出可复现的优化路径。
arXiv:2608.21074v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used in research workflows and software development pi…
受够了AI的标题党腔调？这个开源项目让Claude回归正经说话。
Article URL: https://github.com/adnanakil/nobuzz/blob/main/README.md Comments URL: https://news.ycombinator.com/item?id=49388752 Points: 251 # Comment…
针对LLM智能体的提示词优化新方法，把约束条件纳入优化过程，让Agent更懂规则、少犯错。
arXiv:2608.16068v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed as agents that rely on system prompts to use …
给AI生成文本装个质检雷达，用Vale规则揪出废话套话，让输出更自然可信。
Article URL: https://github.com/Syntaf/vale-llm-slop Comments URL: https://news.ycombinator.com/item?id=49169761 Points: 1 # Comments: 1
别再只调提示词了，学会用上下文工程驱动AI Agent，让交互更聪明高效。
AI agents get talked about a lot, but most explanations stay abstract. Here's a short, practical breakdown of what actually makes an agent work — plus…
用知识恢复驱动提示优化，让大模型在开放域关系三元组抽取上释放更大潜力。
arXiv:2601.15037v2 Announce Type: replace-cross Abstract: Open-domain Relational Triplet Extraction (ORTE) aims to mine structured knowledge without p…
对比反思对话与提示词优化两种支架策略，揭示辅导者如何影响学生独立使用大模型编程的成效。
arXiv:2607.03303v1 Announce Type: new Abstract: While Large Language Models (LLMs) can provide personalized support in learning, several studies have …
开发者自建SVI工具，终结ChatGPT编码时繁琐的prompt准备，让AI协作更高效。
I've been using ChatGPT for coding for quite a while, but after some time, I realized that I was spending more and more time preparing prompts. Every …
把大模型反馈当“文本梯度”，用采样动量解决提示词优化的扩展与稳定性问题，方法新颖且直击痛点。
arXiv:2506.00400v4 Announce Type: replace Abstract: LLM-based prompt optimization, which uses LLM-provided ``textual gradients'' (feedback) to refine …
想让ChatGPT停止奉承？试试让AI扮演好奇的10岁孩子，用28个技巧提升提示效果。
Sure, anyone can use OpenAI’s chatbot. But with smart engineering, you can get way more interesting results.
借助伪提示语言（Pseudo Prompting Language），系统化解决自然语言提示词中角色、目标与约束松散导致的交互脆弱性，提升生成式AI与智能体对齐效率。
arXiv:2606.17164v1 Announce Type: cross Abstract: Prompting has become the primary interface between humans and generative AI, yet many natural langua…
探讨提示词优化在复合AI系统中是否只是随机有效，并提供诊断方法的研究论文
arXiv:2604.14585v2 Announce Type: replace Abstract: Prompt optimization in compound AI systems is statistically indistinguishable from a coin flip: ac…