作者位次 #4/4ACL 2026Poster· Natural Language Processing
Can Large Language Models Infer Causal Relationships from Real-World Text?
Ryan Saklad · Aman Chadha · Oleg V. Pavlov · Raha Moraffah
摘要
Understanding and inferring causal relationships from texts is a core aspect of human cognition and is essential for advancing large language models (LLMs) towards artificial general intelligence. Existing work evaluating LLM causal reasoning primarily relies on synthetic or simplified texts with...