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Maia 200 is Microsoft’s new in house AI accelerator designed for inference in Azure datacenters. It targets the cost of...
For the last couple of years, I’ve been following the progress of a group of individuals who believe death is...
arXiv:2510.13907v2 Announce Type: replace Abstract: Large language models (LLMs) are highly sensitive to prompts, but most automatic prompt optimization (APO)...
arXiv:2506.07972v2 Announce Type: replace-cross Abstract: While Large Language Models (LLMs) have demonstrated significant advancements in reasoning and agent-based problem-solving, current...
arXiv:2510.07118v2 Announce Type: replace Abstract: Instruction tuning is essential for aligning large language models (LLMs) to downstream tasks and commonly...
Google DeepMind is expanding its biological toolkit beyond the world of protein folding. After the success of AlphaFold, the Google’s...
“Who here believes involuntary death is a good thing?” Nathan Cheng has been delivering similar versions of this speech over...
arXiv:2504.12344v2 Announce Type: replace Abstract: Large language models (LLMs) can exhibit concept-conditioned semantic divergence: common high-level cues (e.g., ideologies, public...
arXiv:2508.09125v2 Announce Type: replace Abstract: Instruction following has catalyzed the recent era of Large Language Models (LLMs) and is the...
Is In-Context Learning Learning?
Is fake grass a bad idea? The AstroTurf wars are far from over.
Investigating Gender Stereotypes in Large Language Models via Social Determinants of Health
Investigating Factuality in Long-Form Text Generation: The Roles of Self-Known and Self-Unknown
Introspective Growth: Automatically Advancing LLM Expertise in Technology Judgment
Introduction to Small Language Models: The Complete Guide for 2026
Introducing OmniGEC: A Silver Multilingual Dataset for Grammatical Error Correction
Interpreting the Latent Structure of Operator Precedence in Language Models
Interpretable Text Classification: Probing Scikit-LLM Embedding Spaces
