arXiv AI August 28, 2026 By Jingyi Zheng, Yule Liu, Zifan Peng, Tianyi Hu, Yuemeng Zhao, Xinhu Zheng, Xinlei He

TransMeme: A Multi-Agent Framework for Cross-Cultural Meme Transcreation

TransMeme introduces a multi‑agent framework for cross‑cultural meme transcreation, addressing the unique challenges of preserving intent, adapting cultural meaning, and maintaining multimodal consistency. The system coordinates specialized agents for cultural adaptation, text rewriting, revision, and visual adjustment, and is evaluated on Chinese‑English meme pairs. Human and LLM‑based evaluations show that TransMeme outperforms baselines, achieving a 33.1% average improvement in human scores and a 60% Top‑1 ranking rate in LLM judgments.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

Hugging Face Trending Papers

Aug 27

TransMeme: A Multi-Agent Framework for Cross-Cultural Meme Transcreation

Internet memes are a pervasive form of multimodal online communication; however, such communication often involves users from diverse linguistic and cultural backgrounds. Therefore, adapting memes acr...

llms agents multimodal safety

arXiv AI

Aug 6

Pun Intended: Multi-Agent Translation of Wordplay with Contrastive Learning and Phonetic-Semantic Embeddings for CLEF JOKER 2025 Task 2

arXiv:2507. 06506v2 Announce Type: replace-cross Abstract: Translating wordplay across languages presents unique challenges that have long confounded both professional human translators and machine translation systems.

By Russell Taylor, Benjamin Herbert, Michael Sana

llms rag agents nlp benchmarks

arXiv AI

Jul 21

When Cultures Move: Measuring and Improving Multicultural Text-to-Video Generation

arXiv:2605. 16716v5 Announce Type: replace-cross Abstract: Text-to-video (T2V) generation has rapidly progressed in visual fidelity, yet its ability to faithfully represent multiple cultures within a single prompt remains underexplored.

By Shuowei Li, Yuming Zhao, Parth Bhalerao, Oana Ignat

agents diffusion multimodal benchmarks

arXiv AI

Jun 6

MAVEN A Multi-Agent Framework for Multicultural Text-to-Video Generation

arXiv:2605. 16716v4 Announce Type: replace-cross Abstract: Text-to-video (T2V) generation has rapidly progressed in visual fidelity, yet its ability to faithfully represent multiple cultures within a single prompt remains underexplored.

By Shuowei Li, Yuming Zhao, Parth Bhalerao, Oana Ignat

agents diffusion multimodal benchmarks

arXiv AI

Jul 22

Computational Humor with Multimodal LLMs: Methods, Datasets, Evaluation, and Challenges

arXiv:2607. 19011v1 Announce Type: cross Abstract: Multimodal humor in memes, cartoons, and comics remains difficult for AI systems because intended meaning depends on non-literal mechanisms, shared cultural knowledge, and communicative intent rather than literal scene description.

By Tuo Liang, Zhe Hu, Disheng Liu, Jing Li, Yu Yin

llms multimodal benchmarks safety

Hugging Face Trending Papers

Aug 5

Pun Intended: Multi-Agent Translation of Wordplay with Contrastive Learning and Phonetic-Semantic Embeddings

Translating wordplay across languages has long challenged both professional translators and machine translation systems. We investigate three approaches to translating puns from English to French by combining large language models with linguistic constraints for wordplay generation.

llms rag agents nlp

One email a morning, machine-written

Related stories

TransMeme: A Multi-Agent Framework for Cross-Cultural Meme Transcreation

Pun Intended: Multi-Agent Translation of Wordplay with Contrastive Learning and Phonetic-Semantic Embeddings for CLEF JOKER 2025 Task 2

When Cultures Move: Measuring and Improving Multicultural Text-to-Video Generation

MAVEN A Multi-Agent Framework for Multicultural Text-to-Video Generation

Computational Humor with Multimodal LLMs: Methods, Datasets, Evaluation, and Challenges

Pun Intended: Multi-Agent Translation of Wordplay with Contrastive Learning and Phonetic-Semantic Embeddings