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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...

Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners

arXiv:2509.26226v2 Announce Type: replace-cross Abstract: Reinforcement Learning with Verifiable Reward (RLVR) effectively solves complex tasks...

Thinking with Many Minds: Using Large Language Models for Multi-Perspective Problem-Solving

arXiv:2501.02348v2 Announce Type: replace Abstract: Complex problem-solving requires cognitive flexibility–the capacity to entertain multiple perspectives...

Thinking Machines Launches Tinker: A Low-Level Training API that Abstracts Distributed LLM Fine-Tuning without Hiding the Knobs

Thinking Machines has released Tinker, a Python API that lets researchers and engineers write training...

Thinking Broad, Acting Fast: Latent Reasoning Distillation from Multi-Perspective Chain-of-Thought for E-Commerce Relevance

arXiv:2601.21611v1 Announce Type: cross Abstract: Effective relevance modeling is crucial for e-commerce search, as it...

These new solid-state ACs promise a cool future. Scientists aren’t so sure.

After three years of record-­breaking heat, this one is set to be yet another scorcher...

There is no nature anymore

When people talk about “nature,” they’re generally talking about things that aren’t made by human...

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 is on track to miss its health targets

Every year the World Health Organization publishes a global health statistics report. It features the...

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