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Unpacking the Role of Exploration in AI Reasoning: Why Rare Thoughts Matter

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Unlocking Long-Form Reasoning: How Transformers Learn and Generalize Complex Thought Processes

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CoT-X: Bridging Advanced AI Reasoning with Practical Efficiency

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Aligning AI Thoughts with Human Logic: A Deep Dive into CoT

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AI’s “Yes-Man” Problem: A New Framework to Combat Sycophancy in Reasoning Models

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Enhancing LLM Confidence: A New Approach Using Reasoning Path Geometry and Uncertainty Analysis

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Enhancing Trust in AI Reasoning: How VERICOT Validates Language Model Logic

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Predicting the Value of Thought: How Re-FORC Optimizes LLM Reasoning

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GLM: Enhancing LLM Reasoning on Graphs with Multi-Agent Collaboration and Optimized Serving

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Understanding Knowledge Dynamics in LLM Explanations with a New Framework

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MiRAGE: A New Framework for Detecting Student Misconceptions in Math

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Adaptive Effort Control: AI Models Learn to Optimize Reasoning for Cost and Accuracy

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DeepCompress: Adaptive AI Reasoning for Better Performance and Efficiency

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The Hidden Dynamics of Reasoning: How Chain-of-Thought Transforms AI Learning

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Bridging Cultural Gaps: New Benchmark Evaluates LLMs on Open-Ended Arabic Dialect Questions

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Navigating AI’s Factual and Logical Lapses: A Deep Dive into Hallucination Mitigation

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The Prompting Inversion: How AI Capabilities Reshape Effective Prompt Strategies

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Prompt Quality’s Hidden Impact on AI-Generated Code Security

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GeoThought: A New Dataset to Advance AI’s Geometric Reasoning Abilities

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Decoding AI’s Thought Process: A State-Based Analysis of Large Reasoning Models

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Unmasking AI’s Hidden Thoughts: Stress-Testing How Models Conceal Their Reasoning

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Mapping the Thought Process of Language Models in Math

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Advancing Multimodal AI: Reinforcement Learning for Unified Language and Diffusion Models

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Advanced AI for Legal Documents: Streamlining Metadata Extraction with Large Language Models

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Charting a Course for AI Safety: Chain-of-Thought Monitoring as a Foundation for Future Systems

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SmartSwitch: Guiding Language Models to Deeper Thought for Enhanced Reasoning

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Smaller AI Models Gain Advanced Reasoning for Industrial Equipment Monitoring

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Robots That Do What They Say: A New Approach to Action Verification

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SCENECOT: Enabling Step-by-Step Grounded Reasoning in 3D AI Models

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LLMs: Why They Know the Answer But Still Take Shortcuts

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