Code LLMs - Edgentiq

Multilingual Code Learning with AdvFusion: New Insights for Large Language Models

TREAT: A New Framework for Evaluating Code Language Model Trustworthiness

Code LLMs Struggle with Grammar: A Deep Dive into Tokenization Drift

Measuring the Mood: How Emotions and Personalities Affect Code LLM Stability

Boosting Code Security in AI-Generated Software with Fine-Tuning Techniques

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Unpacking the Role of Code Semantics in Large Language Models: A New Study’s Surprising Insights

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Bridging the Gap: Large Language Models for Binary Security Patch Detection

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Unlocking Code LLM Potential with Open-Source Data Synthesizers

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Uncovering Code LLM Weaknesses with Multi-Turn Red Teaming

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MOCHA: A New Benchmark Exposing Code LLM Vulnerabilities to Multi-Turn Attacks

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Beyond Text: Integrating Code Structure into Large Language Models

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LiveRepoReflection: A New Standard for Evaluating AI’s Code Understanding in Complex Projects

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Gen AI News and Updates

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Multilingual Code Learning with AdvFusion: New Insights for Large Language Models

November 6, 2025

TREAT: A New Framework for Evaluating Code Language Model Trustworthiness

October 21, 2025

Code LLMs Struggle with Grammar: A Deep Dive into Tokenization Drift

October 17, 2025