Update the Applications section in the paper’s MDX files for all 13 languages with the Element-to-Tuple Prompting paper.

pages/papers.ca.mdx

@@ -130,6 +130,7 @@ A continuació es mostren els últims articles (ordenats per data de llançament
 
 ## Aplicacions
 
+  - [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
   - [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
   - [Are LLMs All You Need for Task-Oriented Dialogue?](https://arxiv.org/abs/2304.06556) (Abril 2023)
   - [HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting](https://arxiv.org/abs/2304.05973) (Abril 2023)

pages/papers.de.mdx

@@ -181,6 +181,7 @@ Die folgenden sind die neuesten Papers (sortiert nach Veröffentlichungsdatum) z
 
 ## Anwendungen
 
+- [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
 - [PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming](https://arxiv.org/abs/2310.09265) (Oktober 2023)
 - [Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation](https://arxiv.org/abs/2310.08395) (Oktober 2023)
 - [Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification](https://arxiv.org/abs/2310.08123) (Oktober 2023)

pages/papers.en.mdx

@@ -185,6 +185,7 @@ The following are the latest papers (sorted by release date) on prompt engineeri
 
 ## Applications
 
+- [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
 - [PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming](https://arxiv.org/abs/2310.09265) (October 2023)
 - [Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation](https://arxiv.org/abs/2310.08395) (October 2023)
 - [Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification](https://arxiv.org/abs/2310.08123) (October 2023)

pages/papers.es.mdx

@@ -126,6 +126,7 @@ A continuación se presentan los últimos artículos (ordenados por fecha de pub
 
 ## Aplicaciones
 
+  - [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
   - [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
   - [Automated Reading Passage Generation with OpenAI's Large Language Model](https://arxiv.org/abs/2304.04616) (April 2023)
   - [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

@@ -130,6 +130,7 @@ Seuraavat ovat uusimmat tutkimusjulkaisut (lajiteltu julkaisupäivän mukaan) ke
 
 ## Sovellukset
 
+  - [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
   - [Are LLMs All You Need for Task-Oriented Dialogue?](https://arxiv.org/abs/2304.06556) (April 2023)
   - [HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting](https://arxiv.org/abs/2304.05973) (April 2023)
   - [Approximating Human Evaluation of Social Chatbots with Prompting](https://arxiv.org/abs/2304.05253) (April 2023)

pages/papers.fr.mdx

@@ -126,6 +126,7 @@ Voici les derniers articles sur le prompt engineering (classés par date de publ
 
 ## Applications
 
+  - [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
   - [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
   - [Automated Reading Passage Generation with OpenAI's Large Language Model](https://arxiv.org/abs/2304.04616) (April 2023)
   - [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

@@ -122,6 +122,7 @@ Di seguito sono riportati gli articoli scientifici più recenti (ordinati in bas
 
 ## Applicazioni
 
+  - [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
   - [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
   - [Assessing Language Model Deployment with Risk Cards]() (Aprile 2023)
   - [Enhancing Large Language Models with Climate Resources](https://arxiv.org/abs/2304.00116) (Marzo 2023)

pages/papers.jp.mdx

@@ -119,6 +119,7 @@
 
 ## Applications
 
+  - [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
   - [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
   - [BloombergGPT: A Large Language Model for Finance](https://arxiv.org/abs/2303.17564) (March 2023)
   - [Medical Intervention Duration Estimation Using Language-enhanced Transformer Encoder with Medical Prompts](https://arxiv.org/abs/2303.17408) (March 2023)

pages/papers.kr.mdx

@@ -121,6 +121,7 @@
 
 ## Applications
 
+  - [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
   - [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
   - [Assessing Language Model Deployment with Risk Cards]() (April 2023)
   - [Enhancing Large Language Models with Climate Resources](https://arxiv.org/abs/2304.00116) (March 2023)

pages/papers.pt.mdx

@@ -185,6 +185,7 @@ A seguir estão os artigos mais recentes (classificados por data de lançamento)
 
 ## Aplicações
 
+- [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
 - [PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming](https://arxiv.org/abs/2310.09265) (October 2023)
 - [Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation](https://arxiv.org/abs/2310.08395) (October 2023)
 - [Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification](https://arxiv.org/abs/2310.08123) (October 2023)

pages/papers.ru.mdx

@@ -166,6 +166,7 @@
 
 ## Применения
 
+  - [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
   - [Interpretable Math Word Problem Solution Generation Via Step-by-step Planning](https://arxiv.org/abs/2306.00784) (June 2023)
   - [In-Context Learning User Simulators for Task-Oriented Dialog Systems](https://arxiv.org/abs/2306.00774) (June 2023)
   - [SQL-PaLM: Improved Large Language ModelAdaptation for Text-to-SQL](https://arxiv.org/abs/2306.00739) (June 2023)

pages/papers.tr.mdx

@@ -168,6 +168,7 @@ Aşağıda, büyük dil modelleri (LLM'ler) için istem mühendisliğiyle ilgili
 
 ## Uygulamalar
 
+- [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
 - [You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content](https://arxiv.org/abs/2308.05596) (August 2023)
 - [LLM As DBA](https://arxiv.org/abs/2308.05481) (August 2023)
 - [Interpretable Math Word Problem Solution Generation Via Step-by-step Planning](https://arxiv.org/abs/2306.00784) (June 2023)

pages/papers.zh.mdx

@@ -120,6 +120,8 @@
   - [Scaling Laws for Neural Language Models](https://arxiv.org/abs/2001.08361) (Jan 2020)
 
 ## 应用
+
+  - [E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction](https://arxiv.org/pdf/2405.06454) (May 2024)
   - [PaLM 2 Technical Report](https://ai.google/static/documents/palm2techreport.pdf) (May 2023)
   - [BloombergGPT: A Large Language Model for Finance](https://arxiv.org/abs/2303.17564) (March 2023)
   - [Medical Intervention Duration Estimation Using Language-enhanced Transformer Encoder with Medical Prompts](https://arxiv.org/abs/2303.17408) (March 2023)