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Unpacking Entropy’s Role in Large Language Model Reasoning

Frugal Reasoning: Making Language Models More Concise and Efficient in Math Tasks

Predicting Transit Delays: How AI Learns from Unstructured Alerts

Learning to Reason: Why Patterns Outperform Sheer Rationale Quantity in LLMs

Dynamic Exploration for LLMs: Adaptive Entropy Regularization Improves Reasoning

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ROLL Flash: Boosting LLM Reinforcement Learning with Asynchronous Processing

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Improving Language Model Exploration with Uncertainty-Aware Advantage Shaping

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Unpacking RLVR’s Impact on LLM Reasoning: A Two-Stage Journey

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The Sparse Web of Thought: A Network Perspective on LLM Reasoning and Learning

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Beyond Correlation: How AI Training Methods Shape Causal Reasoning in Language Models

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Enhancing LLM Training Stability with ∆LNormalization for Variable Response Lengths

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Unlocking Advanced LLM Reasoning: The Combined Power of Adaptive Exploration and Scaled Training Data

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Unpacking RLVR’s Limits: Precision Gains Versus Reasoning Horizons

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Unpacking AI’s Social Smarts: Why Small Language Models Struggle with Generalizable Theory of Mind

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VerifyBench: A New Benchmark for Evaluating AI Reasoning Verifiers

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FR3E: Enhancing LLM Reasoning Through Structured Exploration

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Smarter LLM Training: A Sample-Centric Approach to Enhanced Reasoning

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Unpacking Entropy’s Role in Large Language Model Reasoning

November 11, 2025

Frugal Reasoning: Making Language Models More Concise and Efficient in Math Tasks

November 5, 2025

Predicting Transit Delays: How AI Learns from Unstructured Alerts

November 4, 2025