Summary of Retrieval Augmented Time Series Forecasting, by Kutay Tire et al.
Retrieval Augmented Time Series Forecastingby Kutay Tire, Ege Onur Taga, Muhammed Emrullah Ildiz, Samet OymakFirst…
Summary of Are Llms Prescient? a Continuous Evaluation Using Daily News As the Oracle, by Hui Dai et al.
Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracleby Hui Dai, Ryan…
Summary of Clustering Algorithms and Rag Enhancing Semi-supervised Text Classification with Large Llms, by Shan Zhong et al.
Clustering Algorithms and RAG Enhancing Semi-Supervised Text Classification with Large LLMsby Shan Zhong, Jiahao Zeng,…
Summary of Findver: Explainable Claim Verification Over Long and Hybrid-content Financial Documents, by Yilun Zhao et al.
FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documentsby Yilun Zhao, Yitao Long, Yuru…
Summary of Llm-r: a Framework For Domain-adaptive Maintenance Scheme Generation Combining Hierarchical Agents and Rag, by Laifa Tao et al.
LLM-R: A Framework for Domain-Adaptive Maintenance Scheme Generation Combining Hierarchical Agents and RAGby Laifa Tao,…
Summary of Enhancing Classroom Teaching with Llms and Rag, by Elizabeth a Mullins et al.
Enhancing classroom teaching with LLMs and RAGby Elizabeth A Mullins, Adrian Portillo, Kristalys Ruiz-Rohena, Aritran…
Summary of Long Context Rag Performance Of Large Language Models, by Quinn Leng et al.
Long Context RAG Performance of Large Language Modelsby Quinn Leng, Jacob Portes, Sam Havens, Matei…
Summary of Teleoracle: Fine-tuned Retrieval-augmented Generation with Long-context Support For Network, by Nouf Alabbasi et al.
TeleOracle: Fine-Tuned Retrieval-Augmented Generation with Long-Context Support for Networkby Nouf Alabbasi, Omar Erak, Omar Alhussein,…
Summary of Attackqa: Development and Adoption Of a Dataset For Assisting Cybersecurity Operations Using Fine-tuned and Open-source Llms, by Varun Badrinath Krishna
AttackQA: Development and Adoption of a Dataset for Assisting Cybersecurity Operations using Fine-tuned and Open-Source…
Summary of Mind the Gap: a Generalized Approach For Cross-modal Embedding Alignment, by Arihan Yadav et al.
Mind the Gap: A Generalized Approach for Cross-Modal Embedding Alignmentby Arihan Yadav, Alan McMillanFirst submitted…