LMMs - Edgentiq

STV: Smarter In-Context Learning for Multimodal AI

FLoC: Efficient Visual Token Compression for Extended Video Analysis

Chart2Code: A New Benchmark Reveals Gaps in AI’s Chart Generation Abilities

Unlocking Deeper Video Reasoning Through Entropy Control

Upgrading Multimodal AI Data: The VERITAS Pipeline

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AI Models Battle in Mortal Kombat II: A New Benchmark for Multimodal Intelligence

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Strategies for Skill Acquisition in Large Multimodal Models

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Unpacking AI’s Grasp of Comic Humor: A New Benchmark Reveals Challenges

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AI’s Physical Intuition: Why Large Multimodal Models Struggle to Learn New Physics from Visual Examples

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MITS Dataset Unlocks Advanced AI Capabilities for Traffic Surveillance

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The Hidden Impact of Prompt Design on Multimodal AI Performance

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Adaptive Policy Optimization for Stable AI Self-Evaluation

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Optimizing Large Multimodal Models for Edge Devices with Adaptive Compression

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Unveiling BMMR: A New Benchmark for Multidisciplinary AI Reasoning

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PULSE Protocol: Unpacking How Large AI Models Forget Information

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Gen AI News and Updates

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STV: Smarter In-Context Learning for Multimodal AI

November 12, 2025

FLoC: Efficient Visual Token Compression for Extended Video Analysis

November 4, 2025

Chart2Code: A New Benchmark Reveals Gaps in AI’s Chart Generation Abilities

October 23, 2025