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Prompt Optimization as a State-Space Search Problem

arXiv:2511.18619v1 Announce Type: new Abstract: Language Models are extremely susceptible to performance collapse with even...

Prompt Engineering vs Loop Engineering vs Graph Engineering: What Changes at Each Layer

Three terms now compete for the same line in AI engineering job descriptions. Prompt engineering...

Prompt Engineering for Agentic AI

You have probably spent time learning how to prompt AI well...

Prompt engineering does not universally improve Large Language Model performance across clinical decision-making tasks

arXiv:2512.22966v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated promise in medical knowledge...

Prompt Caching vs. Fine-Tuning: A Cost and Latency Decision Framework

In this article, you will learn how prompt caching and fine-tuning differ as strategies for...

Prompt Caching vs. Fine-Tuning: A Cost and Latency Decision Framework

In this article, you will learn how prompt caching and fine-tuning differ as strategies for...

Procedural Knowledge at Scale Improves Reasoning

arXiv:2604.01348v3 Announce Type: replace Abstract: Test-time scaling has emerged as an effective way to improve...

Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark

arXiv:2509.26574v3 Announce Type: replace-cross Abstract: While large language models (LLMs) with reasoning capabilities are progressing...

Probing Neural Topology of Large Language Models

arXiv:2506.01042v3 Announce Type: replace Abstract: Probing large language models (LLMs) has yielded valuable insights into...

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