Reasoning Tasks - Edgentiq

Unveiling LLM Efficiency: OckBench Introduces a New Metric Beyond Accuracy

MVU-Eval: A New Benchmark for AI’s Multi-Video Understanding

Boosting LLM Reasoning and Clarity with Multi-Agent Debates

Boosting Language Model Performance with Contrastive Synthetic Data Generation

Adaptive Sampling Enhances Stability and Efficiency in LLM Reinforcement Learning

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Leveraging Latent Expertise in Diffusion Language Models for Enhanced Reasoning

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Adaptive Thinking: How TRAAC Balances Under- and Overthinking in Language Models

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CurES: A Smarter Way to Train Reasoning Language Models

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COVER: Ensuring Versatile and Guaranteed AI Sequence Generation

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The Hidden Risks of Grouped Queries in AI Conversations

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Unpacking Sparsity: How Mixture-of-Experts Models Navigate Memorization and Reasoning

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Evaluating Multimodal AI in Persian: Introducing the MEENA Dataset

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Unlocking LLM Potential: A New Approach to Prompt Engineering with Smaller Models

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Optimizing LLM Fine-Tuning: The Power of Challenging Examples

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LessIsMore: A Training-Free Approach to Efficient AI Reasoning

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Unpacking How Question Types Affect Large Language Model Performance

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Gen AI News and Updates

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Unveiling LLM Efficiency: OckBench Introduces a New Metric Beyond Accuracy

November 11, 2025

MVU-Eval: A New Benchmark for AI’s Multi-Video Understanding

November 11, 2025

Boosting LLM Reasoning and Clarity with Multi-Agent Debates

October 21, 2025