llm evaluation

LLM Evaluators Recognize and Favor Their Own Generations NeurIPS 2024 Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models EMNLP 2024 OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs EMNLP 2024 PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation EMNLP 2024 SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models ACL 2024 STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions EMNLP 2024 The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models EMNLP 2024 Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection EMNLP 2024 Towards Robust Evaluation of Unlearning in LLMs via Data Transformations EMNLP 2024 Understanding Faithfulness and Reasoning of Large Language Models on Plain Biomedical Summaries EMNLP 2024 Can ChatGPT Assess Human Personalities? A General Evaluation Framework EMNLP 2023 INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations EMNLP 2023 Post Turing: Mapping the landscape of LLM Evaluation EMNLP 2023 Retrieval-based Evaluation for LLMs: A Case Study in Korean Legal QA EMNLP 2023