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This AI Paper from Microsoft Introduces WINA: A Training-Free Sparse Activation Framework for Efficient Large Language Model Inference

Large language models (LLMs), with billions of parameters, power many AI-driven services across industries. However...

Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models

arXiv:2506.07106v1 Announce Type: new Abstract: Large language models (LLMs) have shown strong performance across natural...

The World According to LLMs: How Geographic Origin Influences LLMs’ Entity Deduction Capabilities

arXiv:2508.05525v1 Announce Type: new Abstract: Large Language Models (LLMs) have been extensively tuned to mitigate...

The walled garden cracks: Nadella bets Microsoft’s Copilots—and Azure’s next act—on A2A/MCP interoperability

Microsoft CEO Satya Nadella’s endorsement of Google DeepMind‘s A2A open protocol and Anthropic’s MCP is...

The US has approved CRISPR pigs for food

Most pigs in the US are confined to factory farms where they can be afflicted...

The Trilemma of Truth in Large Language Models

arXiv:2506.23921v2 Announce Type: replace Abstract: We often attribute human characteristics to large language models (LLMs)...

The Prompting Brain: Neurocognitive Markers of Expertise in Guiding Large Language Models

arXiv:2508.14869v1 Announce Type: cross Abstract: Prompt engineering has rapidly emerged as a critical skill for...

The Power of Stories: Narrative Priming Shapes How LLM Agents Collaborate and Compete

arXiv:2505.03961v1 Announce Type: cross Abstract: According to Yuval Noah Harari, large-scale human cooperation is driven...

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