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Update the Applications section in the paper’s MDX files for all 13 languages with the Element-to-Tuple Prompting paper.
The added paper ('Element to Tuple Prompting') is an enhanced and improved version of the paper titled 'MvP: Multi-View Prompting Improves Aspect Sentiment Tuple Prediction', which was previously listed in the Applications section of the papers.en.mdx file.
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pages/papers.ca.mdx

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## Aplicacions
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- [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
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- [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
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- [Are LLMs All You Need for Task-Oriented Dialogue?](https://arxiv.org/abs/2304.06556) (Abril 2023)
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- [HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting](https://arxiv.org/abs/2304.05973) (Abril 2023)

pages/papers.de.mdx

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## Anwendungen
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- [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
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- [PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming](https://arxiv.org/abs/2310.09265) (Oktober 2023)
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- [Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation](https://arxiv.org/abs/2310.08395) (Oktober 2023)
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- [Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification](https://arxiv.org/abs/2310.08123) (Oktober 2023)

pages/papers.en.mdx

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## Applications
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- [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
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- [PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming](https://arxiv.org/abs/2310.09265) (October 2023)
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- [Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation](https://arxiv.org/abs/2310.08395) (October 2023)
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- [Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification](https://arxiv.org/abs/2310.08123) (October 2023)

pages/papers.es.mdx

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## Aplicaciones
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- [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
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- [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
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- [Automated Reading Passage Generation with OpenAI's Large Language Model](https://arxiv.org/abs/2304.04616) (April 2023)
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- [WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus](https://arxiv.org/abs/2304.04358) (April 2023)

pages/papers.fi.mdx

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## Sovellukset
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- [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
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- [Are LLMs All You Need for Task-Oriented Dialogue?](https://arxiv.org/abs/2304.06556) (April 2023)
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- [HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting](https://arxiv.org/abs/2304.05973) (April 2023)
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- [Approximating Human Evaluation of Social Chatbots with Prompting](https://arxiv.org/abs/2304.05253) (April 2023)

pages/papers.fr.mdx

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## Applications
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- [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
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- [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
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- [Automated Reading Passage Generation with OpenAI's Large Language Model](https://arxiv.org/abs/2304.04616) (April 2023)
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- [WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus](https://arxiv.org/abs/2304.04358) (April 2023)

pages/papers.it.mdx

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## Applicazioni
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- [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
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- [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
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- [Assessing Language Model Deployment with Risk Cards]() (Aprile 2023)
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- [Enhancing Large Language Models with Climate Resources](https://arxiv.org/abs/2304.00116) (Marzo 2023)

pages/papers.jp.mdx

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## Applications
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- [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
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- [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
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- [BloombergGPT: A Large Language Model for Finance](https://arxiv.org/abs/2303.17564) (March 2023)
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- [Medical Intervention Duration Estimation Using Language-enhanced Transformer Encoder with Medical Prompts](https://arxiv.org/abs/2303.17408) (March 2023)

pages/papers.kr.mdx

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## Applications
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- [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
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- [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
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- [Assessing Language Model Deployment with Risk Cards]() (April 2023)
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- [Enhancing Large Language Models with Climate Resources](https://arxiv.org/abs/2304.00116) (March 2023)

pages/papers.pt.mdx

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## Aplicações
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- [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
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- [PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming](https://arxiv.org/abs/2310.09265) (October 2023)
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- [Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation](https://arxiv.org/abs/2310.08395) (October 2023)
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- [Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification](https://arxiv.org/abs/2310.08123) (October 2023)

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