llm-evaluation 5
- Essential Statistical Foundations for LLM Evaluation and AI Systems
- Auditing Long-Context LLMs: NeedleBench, Bilingual Reasoning, and Depth Degradation
- AgentEval Architecture: Multi-Agent Utility Verification and Dynamic Rubrics
- Benchmarking Korean Language Models: CLIcK, KMMLU, and Cultural Nuance
- LLM Evaluation Frameworks: MMLU-Pro, Length-Controlled AlpacaEval, and Arena Elo