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Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents
arXiv:2502.18509v2 Announce Type: replace-cross Abstract: Conversational agents are increasingly woven into individuals’ personal lives, yet...
Propaganda AI: An Analysis of Semantic Divergence in Large Language Models
arXiv:2504.12344v2 Announce Type: replace Abstract: Large language models (LLMs) can exhibit concept-conditioned semantic divergence: common...
Pronunciation-Lexicon Free Training for Phoneme-based Crosslingual ASR via Joint Stochastic Approximation
arXiv:2507.06249v1 Announce Type: cross Abstract: Recently, pre-trained models with phonetic supervision have demonstrated their advantages...
promptolution: A Unified, Modular Framework for Prompt Optimization
arXiv:2512.02840v2 Announce Type: replace Abstract: Prompt optimization has become crucial for enhancing the performance of...
PromptCanvas: Composable Prompting Workspaces Using Dynamic Widgets for Exploration and Iteration in Creative Writing
arXiv:2506.03741v1 Announce Type: cross Abstract: We introduce PromptCanvas, a concept that transforms prompting into a...
Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning
arXiv:2511.01016v3 Announce Type: replace Abstract: Recently, advanced large language models (LLMs) have emerged at an...
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...
