Papers with Chinese culture

6 papers
LLM-Human Pipeline for Cultural Grounding of Conversations (2025.naacl-long)

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Challenge: addressing parents by name is commonplace in the West, but it is rare in most Asian cultures.
Approach: They propose a Cultural Context Schema for conversations that incorporates conversational information and cultural information such as social norms, violations, etc.
Outcome: The proposed model significantly improves the empirical performance of a Chinese conversational norm and violation description using an interactive human-in-loop framework.
A Multi-Modal Knowledge Graph for Classical Chinese Poetry (2022.findings-emnlp)

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Challenge: Existing studies in classical Chinese poetry area focus on generation and analysis of poetry.
Approach: They propose to integrate the visual information of words in classical Chinese poetry into a multi-modal knowledge graph.
Outcome: The proposed model bridges the semantic gap between two modalities and achieves state-of-the-art performance on the poetry-image retrieval task.
CalligraphicOCR for Chinese Calligraphy Recognition (2025.emnlp-main)

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Challenge: Increasing efforts to digitize calligraphy have rely on isolated character recognition, requiring expensive manual splitting into single characters.
Approach: They propose a calligraphicOCR model with calligraphy image augmentation and action-based corrector targeting the root of the problem.
Outcome: The proposed model outperforms baseline models due to visual variations and domain shifts in semantics and is more accurate than previous models.
Generating Classical Chinese Poems from Vernacular Chinese (D19-1)

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Challenge: Existing models for classical Chinese poetry generation only allow users to use keywords to interfere with the meaning of generated poems.
Approach: They propose a model to generate classical Chinese poems from vernacular . their model uses unsupervised machine translation to generate Chinese poems . human evaluation shows it can generate high-quality poems comparable to amateur poems - authors .
Outcome: The proposed model improves the perplexity and BLEU of the proposed model compared with typical models and human evaluation shows it generates high-quality poems comparable to amateur poems.
Large-Scale Multimodal Knowledge Graph about Classical Chinese Poetry: Fine-grained Method and Comprehensive Evaluation (2026.findings-acl)

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Challenge: Existing studies on classical Chinese poetry are limited by modality constraints, dataset size, or the level of refinement.
Approach: They propose to construct a large-scale and fine-grained multimodal knowledge graph of classical Chinese poetry using an informative ontology graph and a text-image alignment method.
Outcome: The proposed method collects knowledge about classical Chinese poetry from ontology graphs and performs four tasks that demonstrate its comprehensiveness and high quality.
CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs’ Cultural Knowledge Through Human-AI Red-Teaming (2025.acl-long)

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Challenge: CulturalBench is a set of 1,696 human-written and human-verified questions to assess LMs’ cultural knowledge covering 45 global regions including underrepresented ones like Bangladesh, Zimbabwe, and Peru.
Approach: They construct a set of 1,696 human-written and human-verified questions to assess LMs' cultural knowledge, covering 45 global regions including underrepresented ones like Bangladesh, Zimbabwe, and Peru.
Outcome: The proposed model outperforms other models across cultures, while underperforming on questions related to North Africa, South America and Middle East.

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