Afef Bahri
@afefbahri.bsky.social
Semantic Web, Ontologies, NLP, Knowledge Graphs, AI
Reposted by Afef Bahri
strategies for prompt engineering, few-shot learning, and RAG, addressing gaps in benchmarks for code summarization at various levels. Finally, we publish all study details, code, datasets, and results of evaluation in the [8/9 of https://arxiv.org/abs/2502.16704v1]
February 25, 2025 at 6:27 AM
strategies for prompt engineering, few-shot learning, and RAG, addressing gaps in benchmarks for code summarization at various levels. Finally, we publish all study details, code, datasets, and results of evaluation in the [8/9 of https://arxiv.org/abs/2502.16704v1]
Reposted by Afef Bahri
Thoughts on this? >> Prompt Engineering Patterns for Successful RAG
Implementations: You know it as well as I do: people are relying more and more on generative AI and large language models (LLM) for quick and easy information acquisition. >> Comment below! #AI #IoT #industry40 #healthtech #mhealth
Implementations: You know it as well as I do: people are relying more and more on generative AI and large language models (LLM) for quick and easy information acquisition. >> Comment below! #AI #IoT #industry40 #healthtech #mhealth
Prompt Engineering Patterns for Successful RAG
Implementations
You know it as well as I do: people are relying more and more on generative AI and large language models (LLM) for quick and easy information acquisition.
dlvr.it
February 19, 2025 at 1:43 PM
Thoughts on this? >> Prompt Engineering Patterns for Successful RAG
Implementations: You know it as well as I do: people are relying more and more on generative AI and large language models (LLM) for quick and easy information acquisition. >> Comment below! #AI #IoT #industry40 #healthtech #mhealth
Implementations: You know it as well as I do: people are relying more and more on generative AI and large language models (LLM) for quick and easy information acquisition. >> Comment below! #AI #IoT #industry40 #healthtech #mhealth
Reposted by Afef Bahri
Emulating Retrieval Augmented Generation via Prompt Engineering for Enhanced Long Context Comprehension in LLMs
Proposes a method that emulates RAG through prompt engineering and chain-of-thought reasoning to help LLMs comprehend scattered information.
📝 arxiv.org/abs/2502.12462
Proposes a method that emulates RAG through prompt engineering and chain-of-thought reasoning to help LLMs comprehend scattered information.
📝 arxiv.org/abs/2502.12462
Emulating Retrieval Augmented Generation via Prompt Engineering for Enhanced Long Context Comprehension in LLMs
This paper addresses the challenge of comprehending very long contexts in Large Language Models (LLMs) by proposing a method that emulates Retrieval Augmented Generation (RAG) through specialized prom...
arxiv.org
February 19, 2025 at 4:10 AM
Emulating Retrieval Augmented Generation via Prompt Engineering for Enhanced Long Context Comprehension in LLMs
Proposes a method that emulates RAG through prompt engineering and chain-of-thought reasoning to help LLMs comprehend scattered information.
📝 arxiv.org/abs/2502.12462
Proposes a method that emulates RAG through prompt engineering and chain-of-thought reasoning to help LLMs comprehend scattered information.
📝 arxiv.org/abs/2502.12462
Reposted by Afef Bahri
[2025-02-12] 📚 Updates in #LM&MA
(1) <a href="https://researchtrend.ai/papers/2502.06890" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
(2) LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
(3) Can ChatGPT Diagnose Alzheimer's Disease?
🔍 More at researchtrend.ai/communities/LM&MA
(1) <a href="https://researchtrend.ai/papers/2502.06890" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
(2) LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
(3) Can ChatGPT Diagnose Alzheimer's Disease?
🔍 More at researchtrend.ai/communities/LM&MA
February 12, 2025 at 3:10 AM
[2025-02-12] 📚 Updates in #LM&MA
(1) <a href="https://researchtrend.ai/papers/2502.06890" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
(2) LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
(3) Can ChatGPT Diagnose Alzheimer's Disease?
🔍 More at researchtrend.ai/communities/LM&MA
(1) <a href="https://researchtrend.ai/papers/2502.06890" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
(2) LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
(3) Can ChatGPT Diagnose Alzheimer's Disease?
🔍 More at researchtrend.ai/communities/LM&MA
Reposted by Afef Bahri
ChemBERTaDDI: Transforming Drug-Drug Interaction Prediction with Transformers and Clinical Insights [new]
Utilizes clinical data and molecular representations from a transformer model to predict adverse drug-drug interactions.
Utilizes clinical data and molecular representations from a transformer model to predict adverse drug-drug interactions.
January 26, 2025 at 1:07 AM
ChemBERTaDDI: Transforming Drug-Drug Interaction Prediction with Transformers and Clinical Insights [new]
Utilizes clinical data and molecular representations from a transformer model to predict adverse drug-drug interactions.
Utilizes clinical data and molecular representations from a transformer model to predict adverse drug-drug interactions.
Reposted by Afef Bahri
QuIM-RAG: Advancing Retrieval-Augmented Generation with Inverted Question Matching for Enhanced QA Performance
Presents a Question-to-question Inverted Index Matching approach to improve retrieval accuracy and relevance in RAG systems.
📝 arxiv.org/abs/2501.02702
Presents a Question-to-question Inverted Index Matching approach to improve retrieval accuracy and relevance in RAG systems.
📝 arxiv.org/abs/2501.02702
QuIM-RAG: Advancing Retrieval-Augmented Generation with Inverted Question Matching for Enhanced QA Performance
This work presents a novel architecture for building Retrieval-Augmented Generation (RAG) systems to improve Question Answering (QA) tasks from a target corpus. Large Language Models (LLMs) have revol...
arxiv.org
January 7, 2025 at 4:55 AM
QuIM-RAG: Advancing Retrieval-Augmented Generation with Inverted Question Matching for Enhanced QA Performance
Presents a Question-to-question Inverted Index Matching approach to improve retrieval accuracy and relevance in RAG systems.
📝 arxiv.org/abs/2501.02702
Presents a Question-to-question Inverted Index Matching approach to improve retrieval accuracy and relevance in RAG systems.
📝 arxiv.org/abs/2501.02702
Reposted by Afef Bahri
Marcellus Amadeus, William Alberto Cruz Casta\~neda
Evaluation Metrics for Text Data Augmentation in NLP
https://arxiv.org/abs/2402.06766
Evaluation Metrics for Text Data Augmentation in NLP
https://arxiv.org/abs/2402.06766
February 14, 2024 at 12:00 AM
Marcellus Amadeus, William Alberto Cruz Casta\~neda
Evaluation Metrics for Text Data Augmentation in NLP
https://arxiv.org/abs/2402.06766
Evaluation Metrics for Text Data Augmentation in NLP
https://arxiv.org/abs/2402.06766
Reposted by Afef Bahri
Call for Papers: Special Issue on Large Language Models, Generative AI, and Knowledge Graphs
🗓 March 31, 2025
• AI-KG integration
• Ontology engineering with LLMs
• Data quality & hallucination prevention
#CallForPapers #KnowledgeGraphs #GenerativeAI #SemanticWeb #LLMs
🗓 March 31, 2025
• AI-KG integration
• Ontology engineering with LLMs
• Data quality & hallucination prevention
#CallForPapers #KnowledgeGraphs #GenerativeAI #SemanticWeb #LLMs
About the Semantic Web journal (by IOS Press) | www.semantic-web-journal.net
www.semantic-web-journal.net
December 4, 2024 at 4:23 PM
Call for Papers: Special Issue on Large Language Models, Generative AI, and Knowledge Graphs
🗓 March 31, 2025
• AI-KG integration
• Ontology engineering with LLMs
• Data quality & hallucination prevention
#CallForPapers #KnowledgeGraphs #GenerativeAI #SemanticWeb #LLMs
🗓 March 31, 2025
• AI-KG integration
• Ontology engineering with LLMs
• Data quality & hallucination prevention
#CallForPapers #KnowledgeGraphs #GenerativeAI #SemanticWeb #LLMs