2025
MisinfoBench: A Multi-Dimensional Benchmark for Evaluating LLMs’ Resilience to Misinformation
EMNLP 2025
Large Language Models (LLMs) excel in various Natural Language Processing (NLP) tasks but remain vulnerable to misinformation, particularly in multi-turn dialogues where misleading context accumulates. Existing benchmarks, such as TruthfulQA and FEVER, assess factual accuracy in isolated queries but