Context Sensitivity without Contexts: A Cut-Shortcut Approach to Fast and Precise Pointer Analysis
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Updated
Oct 26, 2023
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context-sensitivity
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Context sensitivity benchmark across 22 LLMs (GPT-4o, Claude Opus, Gemini 2.5, Llama 4, DeepSeek V3, Qwen3, Mistral). 99,000+ responses analyzed using ΔRCI metric. Medical + philosophy domains. Strong correlation with mutual information (r=0.74, p<10⁻⁴²). Reproducible research for AI safety evaluation.
reproducible-research embeddings gemini llama mutual-information ai-safety bayesian-analysis mistral claude medical-ai sentence-transformers gpt-4 nlp-research large-language-models prompt-engineering qwen llm-evaluation context-sensitivity deepseek llm-benchmarking
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Updated
Feb 12, 2026 - Python
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