dynamic evaluation

Inflated Excellence or True Performance? Rethinking Medical Diagnostic Benchmarks with Dynamic Evaluation ACL 2026 LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models ACL 2026 SDEval: Safety Dynamic Evaluation for Multimodal Large Language Models AAAI 2026 Benchmarking Large Language Models Under Data Contamination: A Survey from Static to Dynamic Evaluation EMNLP 2025 Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation COLING 2025 Dynamic Evaluation for Oversensitivity in LLMs EMNLP 2025 Dynamic Evaluation with Cognitive Reasoning for Multi-turn Safety of Large Language Models ACL 2025 FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models ACL 2025 LLM-as-an-Interviewer: Beyond Static Testing Through Dynamic LLM Evaluation ACL 2025 Towards Dynamic Theory of Mind: Evaluating LLM Adaptation to Temporal Evolution of Human States ACL 2025 TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models NAACL 2025 Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants’ API Invocation Capabilities COLING 2024 DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph NeurIPS 2024 DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks ICLR 2024 VarBench: Robust Language Model Benchmarking Through Dynamic Variable Perturbation EMNLP 2024 Meta-Learning Fast Weight Language Models EMNLP 2022 DynaSent: A Dynamic Benchmark for Sentiment Analysis ACL 2021 Dynamic Evaluation of Neural Sequence Models ICML 2018