RAG / 检索增强生成

Generating Query Recommendations via LLMs

Andrea Bacciu, Enrico Palumbo, Andreas Damianou, Nicola Tonellotto, Fabrizio Silvestri

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

Comments Generating Query Recommendations via LLMs

Guiding ChatGPT to Generate Salient Domain Summaries

Jun Gao, Ziqiang Cao, Shaoyao Huang, Luozheng Qin, Chunhui Ai

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

Instruction Tuning with Retrieval-based Examples Ranking for Aspect-based Sentiment Analysis

Guangmin Zheng, Jin Wang, Liang-Chih Yu, Xuejie Zhang

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

Comments ACL Findings 2024

ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles

Jiawei Zhang, Chejian Xu, Bo Li

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

Comments The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems

Chuang Li, Yang Deng, Hengchang Hu, Min-Yen Kan, Haizhou Li

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

Comments Main paper 8 pages; References and Appendix 9 pages; 7 figures and 14 tables

BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine

Mingchen Li, Halil Kilicoglu, Hua Xu, Rui Zhang

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

I3: Intent-Introspective Retrieval Conditioned on Instructions

Kaihang Pan, Juncheng Li, Wenjie Wang, Hao Fei, Hongye Song, Wei Ji, Jun Lin, Xiaozhong Liu, Tat-Seng Chua, Siliang Tang

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

Comments Accepted by SIGIR 2024

Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches

Clément Christophe, Praveen K Kanithi, Prateek Munjal, Tathagata Raha, Nasir Hayat, Ronnie Rajan, Ahmed Al-Mahrooqi, Avani Gupta, Muhammad Umar Salman, Gurpreet Gosal, Bhargav Kanakiya, Charles Chen, Natalia Vassilieva, Boulbaba Ben Amor, Marco AF Pimentel, Shadab Khan

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

Comments Published at AAAI 2024 Spring Symposium - Clinical Foundation Models

Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement

Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng

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

Comments camera-ready version of ACM ICMR 2024

Scalable Language Model with Generalized Continual Learning

Bohao Peng, Zhuotao Tian, Shu Liu, Mingchang Yang, Jiaya Jia

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

Comments The Twelfth International Conference on Learning Representations

Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries

Seanie Lee, Jianpeng Cheng, Joris Driesen, Alexandru Coca, Anders Johannsen

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

Comments NAACL 2024

Fact Checking Beyond Training Set

Payam Karisani, Heng Ji

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

Comments NAACL 2024

LLM-based Extraction of Contradictions from Patents

Stefan Trapp, Joachim Warschat

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

Comments 10 pages, 2 tables

DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-Experts

Pranav Kasela, Gabriella Pasi, Raffaele Perego, Nicola Tonellotto

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

Comments Accepted at the 46th European Conference on Information Retrieval (ECIR 2024)

An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models

Qi Liu, Gang Guo, Jiaxin Mao, Zhicheng Dou, Ji-Rong Wen, Hao Jiang, Xinyu Zhang, Zhao Cao

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

Comments Accepted by ACM Transactions on Information Systems

HDLdebugger: Streamlining HDL debugging with Large Language Models

Xufeng Yao, Haoyang Li, Tsz Ho Chan, Wenyi Xiao, Mingxuan Yuan, Yu Huang, Lei Chen, Bei Yu

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

Comments 13 pages,5 figures

Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive Learning

Georgios Sidiropoulos, Evangelos Kanoulas

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

Comments Accepted at the 46th European Conference on Information Retrieval (ECIR 2024)

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