paperAI

EvalSafetyGap: A Hybrid Survey and Conceptual Framework for LLM Evaluation-Safety Failures

EvalSafetyGap: A Hybrid Survey and Conceptual Framework for LLM Evaluation-Safety Failures

publishedDate Venue arXiv (Cornell University)

Source-permitted summary

EvalSafetyGap: A Hybrid Survey and Conceptual Framework for LLM Evaluation-Safety Failures

SourceCornell University

AI Reading Notes

Core signal

Structured notes generated from source-linked AISci metadata. Treat them as a reading aid, not a substitute for the paper.

Core signal
EvalSafetyGap: A Hybrid Survey and Conceptual Framework for LLM Evaluation-Safety Failures
Field context
AI Safety and Evaluations
People and labs
Not stated in the reviewed source.
Why it matters
Recent source-backed research output for AISci Stage A browsing.
Limits to check
AISci rank score does not assess scientific quality or citation impact.

Publication facts

Date
Jun 29, 2026SourceCornell University
Venue
arXiv (Cornell University)SourceCornell University

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Timeline

  1. paperEvalSafetyGap: A Hybrid Survey and Conceptual Framework for LLM Evaluation-Safety Failures