Knowledge Editing - Edgentiq

The Fading Footprints: How Fine-Tuning Impacts Knowledge Edits in Language Models

MemEIC: Advancing AI Models with Continuous and Integrated Knowledge Updates

Measuring the Depth of Belief in AI: How Language Models Internalize New Facts

Unlocking Adaptability: New Benchmark for Editing Auditory Knowledge in AI Models

Keeping Medical AI Up-to-Date: A New Framework for Precise Knowledge Editing in LLMs

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Enhancing Knowledge Integration in Large Language Models with Semantic Alignment

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Navigating the Depths of LLM Memory: A Unified Framework for Understanding, Evaluating, and Managing Knowledge in AI

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Unlocking Deeper Understanding: How Meta-Cognitive Editing Enhances Multimodal AI

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Smart Knowledge Editing: A New Approach for AI Question Answering

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Securing LLM Ownership: A New Approach with Knowledge Editing and Persistent Fingerprints

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Updating LLMs: A New Framework for Understanding Knowledge Editing

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MultiMedEdit: A New Benchmark for Updating Medical AI Knowledge

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MedMKEB: Evaluating Knowledge Updates in Medical AI

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Latent Knowledge Scalpel: A New Approach for Precise and Scalable LLM Knowledge Editing

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FPEdit: Securing LLM Intellectual Property with Knowledge Editing

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CHECK: Enhancing Language Models for Complex Questions Through Semantic Reasoning

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NeuralDB: A New Approach to Updating Large Language Models with Massive Amounts of Information

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ChainEdit: Enhancing LLM Knowledge Consistency Through Logical Rule Propagation

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Gen AI News and Updates

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The Fading Footprints: How Fine-Tuning Impacts Knowledge Edits in Language Models

November 11, 2025

MemEIC: Advancing AI Models with Continuous and Integrated Knowledge Updates

October 31, 2025

Measuring the Depth of Belief in AI: How Language Models Internalize New Facts

October 23, 2025