Can We Really Trust AI’s Chain-of-Thought Reasoning?
As artificial intelligence (AI) is widely used in areas like healthcare and self-driving cars, the question ...
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Researchers from the National University of Singapore Introduce ‘Thinkless,’ an Adaptive Framework that Reduces Unnecessary Reasoning by up to 90% Using DeGRPO
The effectiveness of language models relies on their ability to simulate human-like step-by-step deduction. However, these ...
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RL^V: Unifying Reasoning and Verification in Language Models through Value-Free Reinforcement Learning
LLMs have gained outstanding reasoning capabilities through reinforcement learning (RL) on correctness rewards. Modern RL algorithms ...
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Dream 7B: How Diffusion-Based Reasoning Models Are Reshaping AI
Artificial Intelligence (AI) has grown remarkably, moving beyond basic tasks like generating text and images to ...
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Boson AI Introduces Higgs Audio Understanding and Higgs Audio Generation: An Advanced AI Solution with Real-Time Audio Reasoning and Expressive Speech Synthesis for Enterprise Applications
In today’s enterprise landscape—especially in insurance and customer support —voice and audio data are more than ...
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RARE (Retrieval-Augmented Reasoning Modeling): A Scalable AI Framework for Domain-Specific Reasoning in Lightweight Language Models
LLMs have demonstrated strong general-purpose performance across various tasks, including mathematical reasoning and automation. However, they ...
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The Rise of Small Reasoning Models: Can Compact AI Match GPT-Level Reasoning?
In recent years, the AI field has been captivated by the success of large language models ...
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Meet ReSearch: A Novel AI Framework that Trains LLMs to Reason with Search via Reinforcement Learning without Using Any Supervised Data on Reasoning Steps
Large language models (LLMs) have demonstrated significant progress across various tasks, particularly in reasoning capabilities. However, ...
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How OpenAI’s o3, Grok 3, DeepSeek R1, Gemini 2.0, and Claude 3.7 Differ in Their Reasoning Approaches
Large language models (LLMs) are rapidly evolving from simple text prediction systems into advanced reasoning engines ...
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