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HANS, are you clever? Clever Hans Effect Analysis of Neural Systems
May 3, 2024, 4:15 a.m. | Leonardo Ranaldi, Fabio Massimo Zanzotto
cs.CL updates on arXiv.org arxiv.org
Abstract: Instruction-tuned Large Language Models (It-LLMs) have been exhibiting outstanding abilities to reason around cognitive states, intentions, and reactions of all people involved, letting humans guide and comprehend day-to-day social interactions effectively. In fact, several multiple-choice questions (MCQ) benchmarks have been proposed to construct solid assessments of the models' abilities. However, earlier works are demonstrating the presence of inherent "order bias" in It-LLMs, posing challenges to the appropriate evaluation. In this paper, we investigate It-LLMs' resilience …
abstract analysis arxiv benchmarks cognitive construct cs.ai cs.cl guide hans humans instruction-tuned interactions language language models large language large language models llms multiple people questions reason social solid systems type
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