Machine Learning

Apple and Duke Researchers Present a Reinforcement Learning Approach That Enables...

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LLMs Struggle to Act on What They Know: Google DeepMind Researchers...

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Reinforcement Learning Makes LLMs Search-Savvy: Ant Group Researchers Introduce SEM to...

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DanceGRPO: A Unified Framework for Reinforcement Learning in Visual Generation Across...

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Georgia Tech and Stanford Researchers Introduce MLE-Dojo: A Gym-Style Framework Designed...

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Meta AI Introduces CATransformers: A Carbon-Aware Machine Learning Framework to Co-Optimize...

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Machine Learning

Taiwanese electronics maker invests $85m in improving AI servers

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RL^V: Unifying Reasoning and Verification in Language Models through Value-Free Reinforcement...

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Reinforcement Learning, Not Fine-Tuning: Nemotron-Tool-N1 Trains LLMs to Use Tools with...

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PrimeIntellect Releases INTELLECT-2: A 32B Reasoning Model Trained via Distributed Asynchronous...

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Microsoft Researchers Introduce ARTIST: A Reinforcement Learning Framework That Equips LLMs...

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This AI Paper Introduces ARM and Ada-GRPO: Adaptive Reasoning Models for...

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Cisco’s Latest AI Agents Report Details the Transformative Impact of Agentic...

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This AI Paper from Microsoft Introduces WINA: A Training-Free Sparse Activation...

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Meet NovelSeek: A Unified Multi-Agent Framework for Autonomous Scientific Research from...

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This AI Paper Introduces ARM and Ada-GRPO: Adaptive Reasoning Models for...

Reasoning tasks are a fundamental aspect of artificial intelligence, encompassing areas like commonsense understanding, mathematical problem-solving, and symbolic reasoning. These tasks often involve multiple steps of logical inference, which large language models (LLMs) attempt to mimic through structured approaches such as chain-of-thought (CoT) prompting. However, as LLMs grow in...