RAG / 检索增强生成

Do Large Language Models Know Conflict? Investigating Parametric vs. Non-Parametric Knowledge of LLMs for Conflict Forecasting

Apollinaire Poli Nemkova, Sarath Chandra Lingareddy, Sagnik Ray Choudhury, Mark V. Albert

机构 * University of North Texas（北卡罗来纳大学达勒姆分校） 纠错

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

Automating Pharmacovigilance Evidence Generation: Using Large Language Models to Produce Context-Aware SQL

Jeffery L. Painter, Venkateswara Rao Chalamalasetti, Raymond Kassekert, Andrew Bate

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

Comments 15 pages, 3 tables, 5 figures

InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation System

Zhiyuan Wen, Jiannong Cao, Zian Wang, Beichen Guo, Ruosong Yang, Shuaiqi Liu

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

Talk2X -- An Open-Source Toolkit Facilitating Deployment of LLM-Powered Chatbots on the Web

Lars Krupp, Daniel Geißler, Peter Hevesi, Marco Hirsch, Paul Lukowicz, Jakob Karolus

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

AutoPsyC: Automatic Recognition of Psychodynamic Conflicts from Semi-structured Interviews with Large Language Models

Sayed Muddashir Hossain, Simon Ostermann, Patrick Gebhard, Cord Benecke, Josef van Genabith, Philipp Müller

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

Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMs

Hang Luo, Jian Zhang, Chujun Li

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

Comments 18 pages, 3 figures, 3 tables

AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generation

Fengyu Li, Yilin Li, Junhao Zhu, Lu Chen, Yanfei Zhang, Jia Zhou, Hui Zu, Jingwen Zhao, Yunjun Gao

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

PASemiQA: Plan-Assisted Agent for Question Answering on Semi-Structured Data with Text and Relational Information

Hansi Yang, Qi Zhang, Wei Jiang, Jianguo Li

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

ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration

Zixiang Wang, Yinghao Zhu, Huiya Zhao, Xiaochen Zheng, Dehao Sui, Tianlong Wang, Wen Tang, Yasha Wang, Ewen Harrison, Chengwei Pan, Junyi Gao, Liantao Ma

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

Comments ACM TheWebConf 2025 Conference (WWW 2025) Research Track

Graphy'our Data: Towards End-to-End Modeling, Exploring and Generating Report from Raw Data

Longbin Lai, Changwei Luo, Yunkai Lou, Mingchen Ju, Zhengyi Yang

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

Comments 4 pages

Language Models are Few-Shot Graders

Chenyan Zhao, Mariana Silva, Seth Poulsen

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

From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems

Ali Mohammadjafari, Anthony S. Maida, Raju Gottumukkala

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

Comments 15 pages, 5 figures, 5 tables

Knowledge Synthesis of Photosynthesis Research Using a Large Language Model

Seungri Yoon, Woosang Jeon, Sanghyeok Choi, Taehyeong Kim, Tae In Ahn

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

Comments 17 pages, 6 figures

Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph

Xujian Liang, Zhaoquan Gu

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

Biomedical Relation Extraction via Adaptive Document-Relation Cross-Mapping and Concept Unique Identifier

Yufei Shang, Yanrong Guo, Shijie Hao, Richang Hong

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

Comments 13 pages, 6 figures

CancerKG.ORG A Web-scale, Interactive, Verifiable Knowledge Graph-LLM Hybrid for Assisting with Optimal Cancer Treatment and Care

Michael Gubanov, Anna Pyayt, Aleksandra Karolak

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

Journal ref CIKM 2024, pp. 4497 - 4505

Human-Calibrated Automated Testing and Validation of Generative Language Models

Agus Sudjianto, Aijun Zhang, Srinivas Neppalli, Tarun Joshi, Michal Malohlava

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

Query Performance Explanation through Large Language Model for HTAP Systems

Haibo Xiu, Li Zhang, Tieying Zhang, Jun Yang, Jianjun Chen

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

Comments Submitted to ICDE 2025

GraphAide: Advanced Graph-Assisted Query and Reasoning System

Sumit Purohit, George Chin, Patrick S Mackey, Joseph A Cottam

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

Can Language Models Enable In-Context Database?

Yu Pan, Hongfeng Yu, Tianjiao Zhao, Jianxin Sun

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

Knowledge in Triples for LLMs: Enhancing Table QA Accuracy with Semantic Extraction

Hossein Sholehrasa, Sanaz Saki Norouzi, Pascal Hitzler, Majid Jaberi-Douraki

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

Comments We are withdrawing this paper to address foundational aspects that are critical for ensuring its accuracy and integrity before any potential resubmission

StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization

Zhuoqun Li, Xuanang Chen, Haiyang Yu, Hongyu Lin, Yaojie Lu, Qiaoyu Tang, Fei Huang, Xianpei Han, Le Sun, Yongbin Li

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

KRAG Framework for Enhancing LLMs in the Legal Domain

Nguyen Ha Thanh, Ken Satoh

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

Comments Presented at NeLaMKRR@KR, 2024 (arXiv:2410.05339)

KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation

Lei Liang, Mengshu Sun, Zhengke Gui, Zhongshu Zhu, Zhouyu Jiang, Ling Zhong, Yuan Qu, Peilong Zhao, Zhongpu Bo, Jin Yang, Huaidong Xiong, Lin Yuan, Jun Xu, Zaoyang Wang, Zhiqiang Zhang, Wen Zhang, Huajun Chen, Wenguang Chen, Jun Zhou

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

Comments 33 pages

Column Vocabulary Association (CVA): semantic interpretation of dataless tables

Margherita Martorana, Xueli Pan, Benno Kruit, Tobias Kuhn, Jacco van Ossenbruggen

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

ShizishanGPT: An Agricultural Large Language Model Integrating Tools and Resources

Shuting Yang, Zehui Liu, Wolfgang Mayer

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

Comments 15 pages,3 figures, WISE2024

Text2SQL is Not Enough: Unifying AI and Databases with TAG

Asim Biswal, Liana Patel, Siddarth Jha, Amog Kamsetty, Shu Liu, Joseph E. Gonzalez, Carlos Guestrin, Matei Zaharia

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

Xinyu: An Efficient LLM-based System for Commentary Generation

Yiquan Wu, Bo Tang, Chenyang Xi, Yu Yu, Pengyu Wang, Yifei Liu, Kun Kuang, Haiying Deng, Zhiyu Li, Feiyu Xiong, Jie Hu, Peng Cheng, Zhonghao Wang, Yi Wang, Yi Luo, Mingchuan Yang

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

Large Language Models Struggle in Token-Level Clinical Named Entity Recognition

Qiuhao Lu, Rui Li, Andrew Wen, Jinlian Wang, Liwei Wang, Hongfang Liu

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

Comments AMIA 2024 Annual Symposium Proceedings

Document-level Clinical Entity and Relation Extraction via Knowledge Base-Guided Generation

Kriti Bhattarai, Inez Y. Oh, Zachary B. Abrams, Albert M. Lai

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

Comments Accepted at Association for Computational Linguistics BioNLP 2024