AI RESEARCH
ContextGuard: Structured Self-Auditing for Context Learning in Language Models
arXiv CS.AI
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ArXi:2605.26827v1 Announce Type: cross Recent benchmarks reveal that despite strong reasoning capabilities, large language models (LLMs) still struggle to faithfully apply complex contextual knowledge. These failures are often not wholesale reasoning collapses: in context-rich tasks, models may follow the central reasoning path while missing peripheral, persistent, or format-sensitive requirements.