238 citations · 498 across the 5 of their papers we have counts for
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cs.CL2025
Beyond Chains of Thought: Benchmarking Latent-Space Reasoning Abilities in Large Language Models
Thilo Hagendorff, Sarah Fabi
Large language models (LLMs) can perform reasoning computations both internally within their latent space and externally by generating explicit token sequences like chains of thoug…
cs.CL2023★ 237 cited
Human-Like Intuitive Behavior and Reasoning Biases Emerged in Language Models -- and Disappeared in GPT-4
Thilo Hagendorff, Sarah Fabi
Large language models (LLMs) are currently at the forefront of intertwining AI systems with human communication and everyday life. Therefore, it is of great importance to evaluate…
cs.CL2022★ 238 cited
Thinking Fast and Slow in Large Language Models
Thilo Hagendorff, Sarah Fabi, Michal Kosinski
Large language models (LLMs) are currently at the forefront of intertwining AI systems with human communication and everyday life. Therefore, it is of great importance to evaluate…