Papers by Chenye Zou

2 papers
Deciphering Cultural Representations in Large Language Models via Sparse Autoencoders (2026.findings-acl)

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Challenge: Prior work has identified so-called cultural neurons, but individual neurons are often polysemous, conflating abstract cultural knowledge with surface-level lexical cues due to superposition.
Approach: They apply Sparse Autoencoders to decompose LLM activations into sparse, interpretable feature representations that disentangle culturally selective features.
Outcome: The proposed model disentangles culturally selective features from paraphrasing and task formats, indicating abstraction beyond lexical correlations.
Do LLMs Understand Wine Descriptors Across Cultures? A Benchmark for Cultural Adaptations of Wine Reviews (2025.findings-emnlp)

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Challenge: Recent advances in large language models have opened the door to culture-aware language tasks.
Approach: They propose to integrate regional taste preferences and culture-specific flavor descriptors into wine reviews across Chinese and English.
Outcome: The proposed model incorporates regional taste preferences and culture-specific flavor descriptors into the translation process.

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