RAG / 检索增强生成

Detection, Retrieval, and Explanation Unified: A Violence Detection System Based on Knowledge Graphs and GAT

Wen-Dong Jiang, Chih-Yung Chang, Diptendu Sinha Roy

专题命中 检索器与排序 ：retriever(abstract)；分类 cs.AI

Comments This work has been submitted to the IEEE for possible publication

Hierarchical Multi-field Representations for Two-Stage E-commerce Retrieval

Niklas Freymuth, Dong Liu, Thomas Ricatte, Saab Mansour

专题命中 检索器与排序 ：dense retrieval(abstract)；分类 cs.IR

Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics

Ameya Godbole, Robin Jia

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；分类 cs.CL

Comments v2: Added Acknowledgements to funding sources and advisors

Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks

Shengyao Zhuang, Ekaterina Khramtsova, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon

专题命中 检索器与排序 ：dense retrieval(abstract)；分类 cs.IR

PuzzleGPT: Emulating Human Puzzle-Solving Ability for Time and Location Prediction

Hammad Ayyubi, Xuande Feng, Junzhang Liu, Xudong Lin, Zhecan Wang, Shih-Fu Chang

专题命中 检索器与排序 ：retriever(abstract)；分类 cs.AI

Comments NAACL 2025 Findings

Investigating the Scalability of Approximate Sparse Retrieval Algorithms to Massive Datasets

Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini, Leonardo Venuta

专题命中 检索器与排序 ：dense retrieval(abstract)；分类 cs.IR

RUIE: Retrieval-based Unified Information Extraction using Large Language Model

Xincheng Liao, Junwen Duan, Yixi Huang, Jianxin Wang

专题命中 检索器与排序 ：retriever(abstract)；分类 cs.CL

Comments To appear in COLING 2025 main conference

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations

Waqar Hussain, John Grundy

专题命中 检索器与排序 ：retrieval augmented generation(abstract)；分类 cs.AI

Large Language Models: New Opportunities for Access to Science

Jutta Schnabel

专题命中 检索器与排序 ：retrieval augmented generation(abstract)；分类 cs.IR

Comments conference proceeding to ADASS XXXIV 2024

Integrating remote sensing data assimilation, deep learning and large language model for interactive wheat breeding yield prediction

Guofeng Yang, Nanfei Jin, Wenjie Ai, Zhonghua Zheng, Yuhong He, Yong He

专题命中 检索器与排序 ：retrieval augmented generation(abstract)；分类 cs.AI

Foundations of GenIR

Qingyao Ai, Jingtao Zhan, Yiqun Liu

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；分类 cs.IR

Comments Chapter 2 of the book on Information Access in the Era of Generative AI

Time Series Language Model for Descriptive Caption Generation

Mohamed Trabelsi, Aidan Boyd, Jin Cao, Huseyin Uzunalioglu

专题命中 检索器与排序 ：dense retrieval(abstract)；分类 cs.CL

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Zhenhua Han, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu

专题命中 检索器与排序 ：vector search(abstract)；分类 cs.CL

Comments 19 pages

Zero-Indexing Internet Search Augmented Generation for Large Language Models

Guangxin He, Zonghong Dai, Jiangcheng Zhu, Binqiang Zhao, Qicheng Hu, Chenyue Li, You Peng, Chen Wang, Binhang Yuan

专题命中 检索器与排序 ：retrieval augmented generation(abstract)；分类 cs.IR

Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering

Shiwen Ni, Hao Cheng, Min Yang

专题命中 检索器与排序 ：dense retrieval(abstract)；分类 cs.CL

Journal ref ICASSP 2025

On the Robustness of Generative Information Retrieval Models

Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Changjiang Zhou, Maarten de Rijke, Xueqi Cheng

专题命中 检索器与排序 ：dense retrieval(abstract)；分类 cs.IR

Comments Accepted by ECIR 2025. arXiv admin note: substantial text overlap with arXiv:2306.12756

Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts

Zhuo Chen, Xinyu Wang, Yong Jiang, Pengjun Xie, Fei Huang, Kewei Tu

专题命中 检索器与排序 ：retrieval augmented generation(abstract)；分类 cs.CL

Comments ACL2024 Findings

Improving In-Context Learning with Small Language Model Ensembles

M. Mehdi Mojarradi, Lingyi Yang, Robert McCraith, Adam Mahdi

专题命中 检索器与排序 ：retrieval augmented generation(abstract)；分类 cs.CL

Comments Presented at NeurIPS 2024 Workshop on Adaptive Foundation Models

MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval

Junjie Zhou, Zheng Liu, Ze Liu, Shitao Xiao, Yueze Wang, Bo Zhao, Chen Jason Zhang, Defu Lian, Yongping Xiong

专题命中 检索器与排序 ：retriever(abstract)；分类 cs.CL

MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models

Yujing Wang, Hainan Zhang, Liang Pang, Binghui Guo, Hongwei Zheng, Zhiming Zheng

专题命中 检索器与排序 ：RAG(abstract)；分类 cs.CL

Let your LLM generate a few tokens and you will reduce the need for retrieval

Hervé Déjean

专题命中 检索器与排序 ：RAG(abstract)；分类 cs.CL

AI-Press: A Multi-Agent News Generating and Feedback Simulation System Powered by Large Language Models

Xiawei Liu, Shiyue Yang, Xinnong Zhang, Haoyu Kuang, Libo Sun, Yihang Yang, Siming Chen, Xuanjing Huang, Zhongyu Wei

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；分类 cs.CL

Comments 18 pages, 4 figures

Enhancing LLMs for Physics Problem-Solving using Reinforcement Learning with Human-AI Feedback

Avinash Anand, Kritarth Prasad, Chhavi Kirtani, Ashwin R Nair, Mohit Gupta, Saloni Garg, Anurag Gautam, Snehal Buldeo, Rajiv Ratn Shah

专题命中 检索器与排序 ：RAG(abstract)；分类 cs.AI

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale?

Seyed Amin Tabatabaei, Sarah Fancher, Michael Parsons, Arian Askari

专题命中 检索器与排序 ：dense retrieval(abstract)；分类 cs.AI

Comments This paper has been accepted at COLING 2025 (Industry Track)

TPRF: A Transformer-based Pseudo-Relevance Feedback Model for Efficient and Effective Retrieval

Hang Li, Chuting Yu, Ahmed Mourad, Bevan Koopman, Guido Zuccon

专题命中 检索器与排序 ：retriever(abstract)；分类 cs.IR

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation

Hao Yang, Qianghua Zhao, Lei Li

专题命中 检索器与排序 ：knowledge retrieval(abstract)；分类 cs.AI

Beyond Questions: Leveraging ColBERT for Keyphrase Search

Jorge Gabín, Javier Parapar, Craig Macdonald

专题命中 检索器与排序 ：dense retrieval(abstract)；分类 cs.IR

Efficient Learning Content Retrieval with Knowledge Injection

Batuhan Sariturk, Rabia Bayraktar, Merve Elmas Erdem

专题命中 检索器与排序 ：RAG(abstract)；分类 cs.CL

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning

Elizaveta Reganova, Peter Steinbach

专题命中 检索器与排序 ：knowledge retrieval(abstract)；分类 cs.CL

Harnessing High-Level Song Descriptors towards Natural Language-Based Music Recommendation

Elena V. Epure, Gabriel Meseguer-Brocal, Darius Afchar, Romain Hennequin

专题命中 检索器与排序 ：dense retrieval(abstract)；分类 cs.IR

Journal ref 3rd Workshop on NLP for Music and Audio collocated with ISMIR 2024