Core Concepts
LLMs struggle with lateral thinking in LatEval, highlighting the need for improved AI capabilities.
Abstract
Introduction to LatEval, an interactive benchmark for evaluating LLMs' lateral thinking abilities.
Existing evaluation benchmarks focus on vertical thinking, neglecting lateral thinking crucial in human cognition.
Proposal of LatEval dataset construction and evaluation metrics.
Experimental results show most LLMs struggle with lateral thinking, emphasizing the challenging nature of the benchmark.
Human evaluation confirms correlation between automated and manual assessments.
Fine-grained analysis reveals varying performance under different difficulty settings.
Case study showcases differences in lateral thinking abilities among player models.
Stats
大多数LLMは、相互作用中に横方向の思考を達成するのが難しいことが観察されました。
GPT-4やGPT-3.5などのホストモデルは、人間の評価と高い相関性を示しました。