RAG / 检索增强生成

Winning Solution For Meta KDD Cup' 24

Yikuan Xia, Jiazun Chen, Jun Gao

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

MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQL

Xuanliang Zhang, Dingzirui Wang, Longxu Dou, Qingfu Zhu, Wanxiang Che

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

Tool-Assisted Agent on SQL Inspection and Refinement in Real-World Scenarios

Zhongyuan Wang, Richong Zhang, Zhijie Nie, Jaein Kim

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

Comments work in progress

StructuredRAG: JSON Response Formatting with Large Language Models

Connor Shorten, Charles Pierse, Thomas Benjamin Smith, Erika Cardenas, Akanksha Sharma, John Trengrove, Bob van Luijt

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

Comments Preprint. 10 pages, 6 figures

Grounding Language Models for Visual Entity Recognition

Zilin Xiao, Ming Gong, Paola Cascante-Bonilla, Xingyao Zhang, Jie Wu, Vicente Ordonez

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

Comments ECCV 2024

SGLang: Efficient Execution of Structured Language Model Programs

Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie, Chuyue Sun, Jeff Huang, Cody Hao Yu, Shiyi Cao, Christos Kozyrakis, Ion Stoica, Joseph E. Gonzalez, Clark Barrett, Ying Sheng

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

Prompting Large Language Models with Knowledge Graphs for Question Answering Involving Long-tail Facts

Wenyu Huang, Guancheng Zhou, Mirella Lapata, Pavlos Vougiouklis, Sebastien Montella, Jeff Z. Pan

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

GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding

Stefan Dernbach, Khushbu Agarwal, Alejandro Zuniga, Michael Henry, Sutanay Choudhury

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

Comments Published in AAAI Spring Symposium: AAAI-MAKE 2024

DANCER: Entity Description Augmented Named Entity Corrector for Automatic Speech Recognition

Yi-Cheng Wang, Hsin-Wei Wang, Bi-Cheng Yan, Chi-Han Lin, Berlin Chen

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

Comments Accepted by LREC-COLING 2024

Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data

Dehai Min, Nan Hu, Rihui Jin, Nuo Lin, Jiaoyan Chen, Yongrui Chen, Yu Li, Guilin Qi, Yun Li, Nijun Li, Qianren Wang

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

Comments Accepted to NAACL 2024 Industry Track Paper

Learning to Rank Context for Named Entity Recognition Using a Synthetic Dataset

Arthur Amalvy, Vincent Labatut, Richard Dufour

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

Journal ref Conference on Empirical Methods in Natural Language Processing (EMNLP), ACL, Dec 2023, Singapore, Singapore. pp.10372-10382

Few-shot Named Entity Recognition via Superposition Concept Discrimination

Jiawei Chen, Hongyu Lin, Xianpei Han, Yaojie Lu, Shanshan Jiang, Bin Dong, Le Sun

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

Comments Accepted to LREC-COLING 2024

From human experts to machines: An LLM supported approach to ontology and knowledge graph construction

Vamsi Krishna Kommineni, Birgitta König-Ries, Sheeba Samuel

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

In-Context Learning for Few-Shot Nested Named Entity Recognition

Meishan Zhang, Bin Wang, Hao Fei, Min Zhang

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

Comments 5 figures

Journal ref ICASSP 2024

BELHD: Improving Biomedical Entity Linking with Homonoym Disambiguation

Samuele Garda, Ulf Leser

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

AutoKG: Efficient Automated Knowledge Graph Generation for Language Models

Bohan Chen, Andrea L. Bertozzi

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

Comments 10 pages, accepted by IEEE BigData 2023 as a workshop paper in GTA3

GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language Models

Pawan Kumar Rajpoot, Ankur Parikh

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

Comments arXiv admin note: text overlap with arXiv:2305.02105 by other authors

Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations

Hyunjae Kim, Jaehyo Yoo, Seunghyun Yoon, Jaewoo Kang

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

Comments ACL 2023

Towards Better Entity Linking with Multi-View Enhanced Distillation

Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Denvy Deng, Qi Zhang

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

Comments Accepted by ACL 2023 Main Conference

Direct Fact Retrieval from Knowledge Graphs without Entity Linking

Jinheon Baek, Alham Fikri Aji, Jens Lehmann, Sung Ju Hwang

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

Comments ACL 2023

DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding

Taolin Zhang, Chengyu Wang, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang

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

Comments Accepted by AAAI22

Table Retrieval May Not Necessitate Table-specific Model Design

Zhiruo Wang, Zhengbao Jiang, Eric Nyberg, Graham Neubig

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

Comments 11 pages total, 4 figures

CODEC: Complex Document and Entity Collection

Iain Mackie, Paul Owoicho, Carlos Gemmell, Sophie Fischer, Sean MacAvaney, Jeffrey Dalton

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

Comments 10 pages, SIGIR 2022 Preprint

Fast and Effective Biomedical Entity Linking Using a Dual Encoder

Rajarshi Bhowmik, Karl Stratos, Gerard de Melo

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

KOSMOS: Knowledge-graph Oriented Social media and Mainstream media Overview System

Chua Hao Yang, Yong Shan Jie, Boon Kok Chin, Lander Chin, Lynnette Hui Xian Ng

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

Attributing Structured-Output Gains in Function Calling: Interface Alignment versus Procedural Transfer

函数调用中结构化输出增益的归因：接口对齐与过程转移

Wanyi Chen, Daoyuan Chen, Fang Kong

专题命中 图谱与结构化RAG ：RAG(abstract)

AI总结 研究结构化输出基准中提示诱导函数调用增益的归因，介绍四层增益归因协议，应用于相关数据集得出部分增益源于接口对齐而非过程转移的结论，并发布相关资源。

Comments 18 pages, 5 figures

Reason-Then-Retrieve for CoVR-R with Structured Edit Prompts and Dense-Sparse Fusion

先推理后检索：面向CoVR-R的结构化编辑提示与密集-稀疏融合

Dongqing Liu, Mengshi Qi, Hongwei Ji

机构 * Beijing University of Posts and Telecommunications（北京邮电大学） 纠错

专题命中 图谱与结构化RAG ：dense retrieval(abstract)

AI总结 针对CoVR-R任务，提出一种零样本的“先推理后检索”流水线，利用Qwen3.5-27B生成结构化描述和密集嵌入，并结合TF-IDF稀疏分支进行融合排序，在验证集和测试集上取得了领先性能。

Pezego-HITL: A policy-grounded large language model architecture for agricultural extension in Ghana

Pezego-HITL：一种用于加纳农业推广的基于政策的大语言模型架构

Shunbao Li, Zhipeng Yuan, Amoako Ofori, Benedicta Y. Fosu-Mensah, Yang Li, Manu Kenchappa Junjanna, Qing Xue, Po Yang

专题命中 图谱与结构化RAG ：retrieval-augmented generation(abstract)

AI总结 研究针对加纳农业推广中大语言模型应用问题，提出基于政策的结构化检索增强生成与验证内存路由方法，通过P-EVAL框架评估，提升了模型政策对齐率、农艺利用率，降低延迟，还验证了通用性，为小农户农业提供可扩展模板。

AeroRAG: Structured Multimodal Retrieval-Augmented LLM for Fine-Grained Aerial Visual Reasoning

AeroRAG：结构化多模态检索增强型LLM用于细粒度航空视觉推理

Junxiao Xue, Quan Deng, Tingqi Hu, Meicong Si, Xinyi Yin, Yunyun Shi, Xuecheng Wu

机构 * Research Center for Space Computing System, Zhejiang Lab, Hangzhou（杭州浙大实验室空间计算系统研究中心） ； Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou（中国科学院大学杭州高等研究院） ； School of Cyber Science and Engineering, Zhengzhou University（郑州大学计算机科学与工程学院） ； School of Computer Science and Technology, Xi’an Jiaotong University（西安交通大学计算机科学与技术学院） 纠错

专题命中 图谱与结构化RAG ：retrieval-augmented generation(abstract)

AI总结 本文提出AeroRAG，通过结构化场景图引导的多模态检索增强生成框架，解决航空场景中视觉问答的挑战，提升对小物体、数量、位置及物体关系的推理能力。

PYPILINE: Malicious PyPI Package Detection via Suspicious API Knowledge and Agent Workflow

PYPILINE：通过可疑API知识和Agent工作流检测恶意PyPI包

Siyuan Pang, Yepeng Yao, Zhengwei Jiang, Zijing Fan, Haozhe Li, Baoxu Liu

专题命中 图谱与结构化RAG ：RAG(abstract)

AI总结 提出PYPILINE方法，结合可疑API知识库与Agent工作流，通过静态分析构建知识库并自动检测恶意PyPI包，在精度、召回率和F1分数上显著优于现有工具。