RAG / 检索增强生成

Leveraging LLM for Automated Ontology Extraction and Knowledge Graph Generation

Mohammad Sadeq Abolhasani, Rong Pan

专题命中 图谱与结构化RAG ：retrieval augmented generation(abstract)；RAG(abstract)；分类 cs.AI

Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data

Paul Fergus, Carl Chalmers, Naomi Matthews, Stuart Nixon, Andre Burger, Oliver Hartley, Chris Sutherland, Xavier Lambin, Steven Longmore, Serge Wich

专题命中 图谱与结构化RAG ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.AI

Comments 32 Pages, 22 images

Towards Evaluating Large Language Models for Graph Query Generation

Siraj Munir, Alessandro Aldini

专题命中 图谱与结构化RAG ：retrieval augmented generation(abstract)；RAG(abstract)；分类 cs.CL

Comments Paper accepted and will be presented at CSCI2024 in December 2024, Later will be published at Springer LNCS

General LLMs as Instructors for Domain-Specific LLMs: A Sequential Fusion Method to Integrate Extraction and Editing

Xin Zhang, Tianjie Ju, Huijia Liang, Ying Fu, Qin Zhang

专题命中 图谱与结构化RAG ：retrieval augmented generation(abstract)；RAG(abstract)；分类 cs.CL

Comments Working in progress

Semantic Enrichment of the Quantum Cascade Laser Properties in Text- A Knowledge Graph Generation Approach

Deperias Kerre, Anne Laurent, Kenneth Maussang, Dickson Owuor

专题命中 图谱与结构化RAG ：retrieval augmented generation(abstract)；RAG(abstract)；分类 cs.AI

Towards a Reliable Offline Personal AI Assistant for Long Duration Spaceflight

Oliver Bensch, Leonie Bensch, Tommy Nilsson, Florian Saling, Wafa M. Sadri, Carsten Hartmann, Tobias Hecking, J. Nathan Kutz

专题命中 图谱与结构化RAG ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.AI

Comments 75th International Astronautical Congress (IAC), Milan, Italy, 14-18 October 2024

Satyrn: A Platform for Analytics Augmented Generation

Marko Sterbentz, Cameron Barrie, Shubham Shahi, Abhratanu Dutta, Donna Hooshmand, Harper Pack, Kristian J. Hammond

专题命中 图谱与结构化RAG ：retrieval augmented generation(abstract)；RAG(abstract)；分类 cs.CL

Comments Accepted to EMNLP 2024

Cyber Knowledge Completion Using Large Language Models

Braden K Webb, Sumit Purohit, Rounak Meyur

专题命中 图谱与结构化RAG ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.AI

Comments 7 pages, 2 figures. Submitted to 2024 IEEE International Conference on Big Data

SynthAI: A Multi Agent Generative AI Framework for Automated Modular HLS Design Generation

Seyed Arash Sheikholeslam, Andre Ivanov

专题命中 图谱与结构化RAG ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.AI

Comments This work is in progress and we will be updating it

A Reliable Knowledge Processing Framework for Combustion Science using Foundation Models

Vansh Sharma, Venkat Raman

专题命中 图谱与结构化RAG ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.AI

Comments 38 pages and 10 figures; Fixed figure resolution

Cross-Data Knowledge Graph Construction for LLM-enabled Educational Question-Answering System: A Case Study at HCMUT

Tuan Bui, Oanh Tran, Phuong Nguyen, Bao Ho, Long Nguyen, Thang Bui, Tho Quan

专题命中 图谱与结构化RAG ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.CL

Comments 8 pages, 7 figures, Accepted at AIQAM '24: Proceedings of the 1st ACM Workshop on AI-Powered Q&A Systems for Multimedia

Reconciling Methodological Paradigms: Employing Large Language Models as Novice Qualitative Research Assistants in Talent Management Research

Sreyoshi Bhaduri, Satya Kapoor, Alex Gil, Anshul Mittal, Rutu Mulkar

专题命中 图谱与结构化RAG ：retrieval augmented generation(abstract)；RAG(abstract)；分类 cs.AI

Comments Accepted to KDD '24 workshop on Talent Management and Computing (TMC 2024). 9 pages

MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Yuxuan Chen, Xu Zhu, Hua Zhou, Zhuyin Ren

专题命中 图谱与结构化RAG ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.AI

Comments 31 pages,11 figures, 11 tables

Decoding BACnet Packets: A Large Language Model Approach for Packet Interpretation

Rashi Sharma, Hiroyuki Okada, Tatsumi Oba, Karthikk Subramanian, Naoto Yanai, Sugiri Pranata

专题命中 图谱与结构化RAG ：retrieval augmented generation(abstract)；RAG(abstract)；分类 cs.AI

Comments 12 pages

PRAGyan -- Connecting the Dots in Tweets

Rahul Ravi, Gouri Ginde, Jon Rokne

专题命中 图谱与结构化RAG ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.IR

Comments 9 pages, ASONAM

LLMs in Biomedicine: A study on clinical Named Entity Recognition

Masoud Monajatipoor, Jiaxin Yang, Joel Stremmel, Melika Emami, Fazlolah Mohaghegh, Mozhdeh Rouhsedaghat, Kai-Wei Chang

专题命中 图谱与结构化RAG ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.CL

Privacy-Preserved Neural Graph Databases

Qi Hu, Haoran Li, Jiaxin Bai, Zihao Wang, Yangqiu Song

专题命中 图谱与结构化RAG ：retrieval augmented generation(abstract)；RAG(abstract)；分类 cs.DB

Artificial Intelligence as the New Hacker: Developing Agents for Offensive Security

Leroy Jacob Valencia

专题命中 图谱与结构化RAG ：retrieval augmented generation(abstract)；RAG(abstract)；分类 cs.AI

Toward Conversational Agents with Context and Time Sensitive Long-term Memory

Nick Alonso, Tomás Figliolia, Anthony Ndirango, Beren Millidge

专题命中 图谱与结构化RAG ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.CL

Can Github issues be solved with Tree Of Thoughts?

Ricardo La Rosa, Corey Hulse, Bangdi Liu

专题命中 图谱与结构化RAG ：retrieval augmented generation(abstract)；RAG(abstract)；分类 cs.AI

Comments 8 pages, 2 figures, 7 tables

Biomedical knowledge graph-optimized prompt generation for large language models

Karthik Soman, Peter W Rose, John H Morris, Rabia E Akbas, Brett Smith, Braian Peetoom, Catalina Villouta-Reyes, Gabriel Cerono, Yongmei Shi, Angela Rizk-Jackson, Sharat Israni, Charlotte A Nelson, Sui Huang, Sergio E Baranzini

专题命中 图谱与结构化RAG ：retrieval augmented generation(abstract)；RAG(abstract)；分类 cs.CL

Comments 29 pages, 5 figures, 1 table, 1 supplementary file

Towards Accurate and Efficient Document Analytics with Large Language Models

Yiming Lin, Madelon Hulsebos, Ruiying Ma, Shreya Shankar, Sepanta Zeigham, Aditya G. Parameswaran, Eugene Wu

专题命中 图谱与结构化RAG ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.DB

Enhancing Q&A with Domain-Specific Fine-Tuning and Iterative Reasoning: A Comparative Study

Zooey Nguyen, Anthony Annunziata, Vinh Luong, Sang Dinh, Quynh Le, Anh Hai Ha, Chanh Le, Hong An Phan, Shruti Raghavan, Christopher Nguyen

专题命中 图谱与结构化RAG ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.AI

Comments Fixed typo of OODA's score on harder-question set in Table 2

Enhancing Software-Related Information Extraction via Single-Choice Question Answering with Large Language Models

Wolfgang Otto, Sharmila Upadhyaya, Stefan Dietze

专题命中 图谱与结构化RAG ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.CL

Comments Accepted at: 1st Workshop on Natural Scientific Language Processing and Research Knowledge Graphs (NSLP 2024) Co-located with Extended Semantic Web Conference (ESWC 2024)

Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model

Qichen Ye, Junling Liu, Dading Chong, Peilin Zhou, Yining Hua, Fenglin Liu, Meng Cao, Ziming Wang, Xuxin Cheng, Zhu Lei, Zhenhua Guo

专题命中 图谱与结构化RAG ：retrieval augmented generation(abstract)；RAG(abstract)；分类 cs.CL

S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document

Kareem Shaik, Dali Wang, Weijian Zheng, Qinglei Cao, Heng Fan, Peter Schwartz, Yunhe Feng

专题命中 图谱与结构化RAG ：retrieval augmented generation(abstract)；RAG(abstract)；分类 cs.AI

Beyond Extraction: Contextualising Tabular Data for Efficient Summarisation by Language Models

Uday Allu, Biddwan Ahmed, Vishesh Tripathi

专题命中 图谱与结构化RAG ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.CL

Comments Submitted to IEEE

Glitter or Gold? Deriving Structured Insights from Sustainability Reports via Large Language Models

Marco Bronzini, Carlo Nicolini, Bruno Lepri, Andrea Passerini, Jacopo Staiano

专题命中 图谱与结构化RAG ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.CL

DB-GPT: Empowering Database Interactions with Private Large Language Models

Siqiao Xue, Caigao Jiang, Wenhui Shi, Fangyin Cheng, Keting Chen, Hongjun Yang, Zhiping Zhang, Jianshan He, Hongyang Zhang, Ganglin Wei, Wang Zhao, Fan Zhou, Danrui Qi, Hong Yi, Shaodong Liu, Faqiang Chen

专题命中 图谱与结构化RAG ：retrieval augmented generation(abstract)；RAG(abstract)；分类 cs.DB

A Unified [CII] Morpho-Kinematic Corpus for 31 Star-Forming Galaxies at z = 4.26-5.68: The High-z Kinematic Corpus Z1

统一 [CII] 运动学形态数据集：31 个 z=4.26-5.68 恒星形成星系的高红移运动学语料库 Z1

David C. Flynn

专题命中 图谱与结构化RAG ：RAG(abstract,abstract_cn)

AI总结 基于 ALPINE 巡天数据，构建了 31 个高红移恒星形成星系的 [CII] 形态运动学结构化数据集，包含旋转曲线、动力学质量及分类信息，并公开了多格式数据与示例分析。

Comments 8 pages, 4 tables, 3 figures. Data descriptor for the High-z Kinematic Corpus Z1, the fourth corpus in the EPS Research RAG Astrophysics Corpus Series. Corpus deposited at Zenodo DOI: 10.5281/zenodo.20369285. Jupyter notebooks and figures included as ancillary files