Results for "prompting"

arXiv:2604.04258v1 Announce Type: new Abstract: The quality of AI-generated output is often attributed to prompting technique, but extensive empirical observati

arXiv:2604.04852v1 Announce Type: cross Abstract: Chain-of-Thought (CoT) prompting has been used to enhance the reasoning capability of LLMs. However, its relia

arXiv:2511.14130v2 Announce Type: replace Abstract: With the rapid progress of large language models (LLMs), financial information retrieval has become a critic

arXiv:2604.02343v1 Announce Type: cross Abstract: We study the compression of LLM-generated text across lossless and lossy regimes, characterizing a compression

arXiv:2604.02492v1 Announce Type: cross Abstract: Deploying large multimodal language models at scale is constrained by token-based inference costs, yet the cos

arXiv:2604.02512v1 Announce Type: cross Abstract: Large language models (LLMs) increasingly exhibit human-like patterns of pragmatic and social reasoning. This

arXiv:2604.03174v1 Announce Type: cross Abstract: Large language models (LLMs) encode vast world knowledge in their parameters, yet they remain fundamentally li

arXiv:2409.18512v2 Announce Type: replace-cross Abstract: Recent advancements in speech synthesis have enabled large language model (LLM)-based systems to perfo

arXiv:2603.01589v2 Announce Type: replace-cross Abstract: The success of large language models (LLMs) in scientific domains has heightened safety concerns, prom

Google's upgrade means 2 billion Gmail users must now decide what to do next.

It was a Tuesday morning. I opened my Anthropic dashboard to check usage like I do every few days, and there it was: $80.17. I stared at it for a solid ten seco

A surprising iPhone update has landed. Should you choose it or is it time to move to iOS 26?

A major security incident affecting the widely used open source vulnerability scanner Trivy has exposed critical weaknesses in software supply chain security, a

With one hand holding my dog and no keyboard, I advanced two serious development projects using AI prompting, proving that the traditional coding setup may no l

arXiv:2604.00281v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly embedded in computer science education through AI-assisted program

arXiv:2604.00536v1 Announce Type: cross Abstract: Large language models (LLMs) achieve strong downstream performance largely due to abundant supervised fine-tun

arXiv:2506.09354v2 Announce Type: replace-cross Abstract: Mental health is a growing global concern, prompting interest in AI-driven solutions to expand access

arXiv:2603.29953v1 Announce Type: new Abstract: How reliably can structured intent representations preserve user goals across different AI models, languages, an

arXiv:2509.21035v2 Announce Type: replace Abstract: Knowledge graphs provide structured context for multi-hop question answering, but deployed systems must bala

arXiv:2603.17839v2 Announce Type: replace-cross Abstract: Verbal confidence -- prompting LLMs to state their confidence as a number or category -- is widely use

NotebookLM helps users summarize, study, write, analyze documents and improve results through smarter prompting.

arXiv:2603.28038v1 Announce Type: new Abstract: As Large Language Models (LLMs) achieve increasingly sophisticated performance on complex reasoning tasks, curre

arXiv:2603.27306v1 Announce Type: cross Abstract: Large language models (LLMs) have been proposed as supervisory agents for spacecraft operations, but existing

arXiv:2603.28555v1 Announce Type: cross Abstract: Large pre-trained vision-language models like CLIP have transformed computer vision by aligning images and tex