RAG / 检索增强生成

SocialGenPod: Privacy-Friendly Generative AI Social Web Applications with Decentralised Personal Data Stores

Vidminas Vizgirda, Rui Zhao, Naman Goel

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

Comments Demo paper accepted in Companion Proceedings of the ACM Web Conference 2024

LLM-Oriented Retrieval Tuner

Si Sun, Hanqing Zhang, Zhiyuan Liu, Jie Bao, Dawei Song

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

Comments 16 pages, 8 figures, 5 tables

NORMY: Non-Uniform History Modeling for Open Retrieval Conversational Question Answering

Muhammad Shihab Rashid, Jannat Ara Meem, Vagelis Hristidis

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

Comments Accepted for publication at IEEE ICSC 2024

Continual Learning for Large Language Models: A Survey

Tongtong Wu, Linhao Luo, Yuan-Fang Li, Shirui Pan, Thuy-Trang Vu, Gholamreza Haffari

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

It's About Time: Incorporating Temporality in Retrieval Augmented Language Models

Anoushka Gade, Jorjeta Jetcheva

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

BibSonomy Meets ChatLLMs for Publication Management: From Chat to Publication Management: Organizing your related work using BibSonomy & LLMs

Tom Völker, Jan Pfister, Tobias Koopmann, Andreas Hotho

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

Comments Accepted at 2024 ACM SIGIR CHIIR, For a demo see here http://professor-x.de/demos/bibsonomy-chatgpt/demo.mp4

Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization

Ninglu Shao, Shitao Xiao, Zheng Liu, Peitian Zhang

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

GUITAR: Gradient Pruning toward Fast Neural Ranking

Weijie Zhao, Shulong Tan, Ping Li

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

Parameter Efficient Tuning Allows Scalable Personalization of LLMs for Text Entry: A Case Study on Abbreviation Expansion

Katrin Tomanek, Shanqing Cai, Subhashini Venugopalan

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

UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation

Daixuan Cheng, Shaohan Huang, Junyu Bi, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Furu Wei, Denvy Deng, Qi Zhang

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

Comments EMNLP 2023 Main Conference

ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Renat Aksitov, Sobhan Miryoosefi, Zonglin Li, Daliang Li, Sheila Babayan, Kavya Kopparapu, Zachary Fisher, Ruiqi Guo, Sushant Prakash, Pranesh Srinivasan, Manzil Zaheer, Felix Yu, Sanjiv Kumar

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

Comments 19 pages, 4 figures, 4 tables, 8 listings

GEAR-Up: Generative AI and External Knowledge-based Retrieval Upgrading Scholarly Article Searches for Systematic Reviews

Kaushik Roy, Vedant Khandelwal, Harshul Surana, Valerie Vera, Amit Sheth, Heather Heckman

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

Task Tree Retrieval For Robotic Cooking

Chakradhar Reddy Nallu

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

DevBots can co-design APIs

Vinicius Soares Silva Marques

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

Comments 8 pages, 1 figure, 3 tables

Boosting legal case retrieval by query content selection with large language models

Youchao Zhou, Heyan Huang, Zhijing Wu

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

Comments This work was accepted as 23-SIGIR-AP main conference paper

In-Context Learning for Text Classification with Many Labels

Aristides Milios, Siva Reddy, Dzmitry Bahdanau

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

Comments 12 pages, 4 figures

SEINE: SEgment-based Indexing for NEural information retrieval

Sibo Dong, Justin Goldstein, Grace Hui Yang

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

Relevance feedback strategies for recall-oriented neural information retrieval

Timo Kats, Peter van der Putten, Jan Scholtes

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

Journal ref Preproceedings Benelux Conference for Artificial Intelligence (BNAIC/BENELEARN 2023), Delft, November 8-10, 2023

Don't forget private retrieval: distributed private similarity search for large language models

Guy Zyskind, Tobin South, Alex Pentland

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

TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems

Yilun Kong, Jingqing Ruan, Yihong Chen, Bin Zhang, Tianpeng Bao, Shiwei Shi, Guoqing Du, Xiaoru Hu, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao

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

Scalable and Effective Generative Information Retrieval

Hansi Zeng, Chen Luo, Bowen Jin, Sheikh Muhammad Sarwar, Tianxin Wei, Hamed Zamani

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

XWalk: Random Walk Based Candidate Retrieval for Product Search

Jon Eskreis-Winkler, Yubin Kim, Andrew Stanton

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

Journal ref Proceedings of ACM 2023 SIGIR Workshop on eCommerce (SIGIR eCom23)

LightSAGE: Graph Neural Networks for Large Scale Item Retrieval in Shopee's Advertisement Recommendation

Dang Minh Nguyen, Chenfei Wang, Yan Shen, Yifan Zeng

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

Journal ref 2023 Proceedings of the 17th ACM Conference on Recommender Systems. Association for Computing Machinery, New York, NY, USA

Retrieval-based Text Selection for Addressing Class-Imbalanced Data in Classification

Sareh Ahmadi, Aditya Shah, Edward Fox

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

Large Language Models and Prompt Engineering for Biomedical Query Focused Multi-Document Summarisation

Diego Mollá

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

Comments 9 pages, 7 figures, 4 tables

Language Representation Projection: Can We Transfer Factual Knowledge across Languages in Multilingual Language Models?

Shaoyang Xu, Junzhuo Li, Deyi Xiong

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

Comments Accepted by EMNLP 2023

Efficient Neural Ranking using Forward Indexes and Lightweight Encoders

Jurek Leonhardt, Henrik Müller, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand

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

Comments Accepted at ACM TOIS. arXiv admin note: text overlap with arXiv:2110.06051

PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter

Haoyan Yang, Zhitao Li, Yong Zhang, Jianzong Wang, Ning Cheng, Ming Li, Jing Xiao

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

Comments Accepted by the Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. (EMNLP2023)

LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Kaiyu Yang, Aidan M. Swope, Alex Gu, Rahul Chalamala, Peiyang Song, Shixing Yu, Saad Godil, Ryan Prenger, Anima Anandkumar

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

Comments Accepted to NeurIPS 2023 (Datasets and Benchmarks Track) as an oral presentation. Data, code, and models available at https://leandojo.org/

DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning

Wei Chen, Qiushi Wang, Zefei Long, Xianyin Zhang, Zhongtian Lu, Bingxuan Li, Siyuan Wang, Jiarong Xu, Xiang Bai, 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, 13 figures, 7 tables