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arXiv:2512.02840v2 Announce Type: replace Abstract: Prompt optimization has become crucial for enhancing the performance of large language models (LLMs) across...
Earth’s a medium-size rock with some water on top, enveloped by gases that keep everything that lives here alive. Just...
Every year, poachers shoot hundreds of rhinos, fishing crews haul millions of sharks out of protected seas, and smugglers carry...
AI deployment is changing.
arXiv:2601.19657v3 Announce Type: replace Abstract: Diffusion Language Models (DLMs) have emerged as a compelling alternative to autoregressive approaches, enabling parallel...
arXiv:2601.10161v2 Announce Type: replace Abstract: Named Entity Recognition (NER) is a foundational task in Natural Language Processing (NLP) and Information...
In the high-stakes world of AI infrastructure, the industry has operated under a singular assumption: flexibility is king. We build...
Early on the morning of September 2, 2024, a Chicago Transit Authority Blue Line train was the scene of a...
AI agents , or autonomous systems powered by agentic AI, have reshaped the current landscape of AI systems and deployments.
Measuring Performance of Transformer Inference
Measuring Intent Comprehension in LLMs
Measuring Chain-of-Thought Monitorability Through Faithfulness and Verbosity
Measles is surging in the US. Wastewater tracking could help.
Measles cases are rising. Other vaccine-preventable infections could be next.
MDAR: A Multi-scene Dynamic Audio Reasoning Benchmark
MCP-Universe benchmark shows GPT-5 fails more than half of real-world orchestration tasks
MCP and the innovation paradox: Why open standards will save AI from itself
McBE: A Multi-task Chinese Bias Evaluation Benchmark for Large Language Models
