Author

C. Park

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#artificial intelligence Preprint Sep 2026

Few-Shot Demonstrations Elicit the Use of In-Context World Representations in LLMs

Large language models (LLMs), when acting as agents, are expected to take observed data in context, infer the latent state space underlying the world, and leverage it for downstream prediction. However, prior work demonstrated that LLMs struggle to use representations learned in context on a graph tracking task, where...

Kohsei Matsutani, Gouki Minegishi, C. Park et al. · 0 citations

Preprint Aug 2026

Shared Circuits for Shared Grammar: Tracing Subject-Verb Agreement Across Languages

Multilingual large language models often generalize across languages, and prior work suggests that their internal mechanisms can overlap cross-lingually. It remains unclear, however, when such sharing emerges and whether it varies with the overt realization of the same grammatical operation. We investigate this questio...

Isabella Gidi, Antonio Almudévar, C. Park et al. · 0 citations