RAG / 检索增强生成

DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature

Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen

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

Comments Accepted by EMNLP 2024 Findings; revise format problem

ZeQR: Zero-shot Query Reformulation for Conversational Search

Dayu Yang, Yue Zhang, Hui Fang

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

Comments Accepted by the 9th ACM SIGIR International Conference on the Theory of Information Retrieval

Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis

Sakhinana Sagar Srinivas, Vijay Sri Vaikunth, Venkataramana Runkana

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

Comments Accepted at Workshop on Open-World Agents (OWA-NeurIPS 2024) : Synergizing Reasoning and Decision-Making in Open-World Environments

PEAR: A Robust and Flexible Automation Framework for Ptychography Enabled by Multiple Large Language Model Agents

Xiangyu Yin, Chuqiao Shi, Yimo Han, Yi Jiang

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

Comments 18 pages, 5 figures, technical preview report

Composite Learning Units: Generalized Learning Beyond Parameter Updates to Transform LLMs into Adaptive Reasoners

Santosh Kumar Radha, Oktay Goktas

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

Contrastive Learning to Improve Retrieval for Real-world Fact Checking

Aniruddh Sriram, Fangyuan Xu, Eunsol Choi, Greg Durrett

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

Comments EMNLP 2024 FEVER Workshop

DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models

Sara Vera Marjanović, Haeun Yu, Pepa Atanasova, Maria Maistro, Christina Lioma, Isabelle Augenstein

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

Comments 15 pages, 6 figures, Accepted to Findings of EMNLP 2024

Thematic Analysis with Open-Source Generative AI and Machine Learning: A New Method for Inductive Qualitative Codebook Development

Andrew Katz, Gabriella Coloyan Fleming, Joyce Main

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

Streamlining Conformal Information Retrieval via Score Refinement

Yotam Intrator, Ori Kelner, Regev Cohen, Roman Goldenberg, Ehud Rivlin, Daniel Freedman

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

Comments 6 pages

Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling

Zile Qiao, Wei Ye, Yong Jiang, Tong Mo, Pengjun Xie, Weiping Li, Fei Huang, Shikun Zhang

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

Synthetic continued pretraining

Zitong Yang, Neil Band, Shuangping Li, Emmanuel Candès, Tatsunori Hashimoto

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

Comments Updated organization of experimental results and methods introduction. Released the dataset and model weights artifact

Enhancing Tool Retrieval with Iterative Feedback from Large Language Models

Qiancheng Xu, Yongqi Li, Heming Xia, Wenjie Li

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

DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task

Wenhan Liu, Yutao Zhu, Zhicheng Dou

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

Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology

Aidan Gilson, Xuguang Ai, Thilaka Arunachalam, Ziyou Chen, Ki Xiong Cheong, Amisha Dave, Cameron Duic, Mercy Kibe, Annette Kaminaka, Minali Prasad, Fares Siddig, Maxwell Singer, Wendy Wong, Qiao Jin, Tiarnan D. L. Keenan, Xia Hu, Emily Y. Chew, Zhiyong Lu, Hua Xu, Ron A. Adelman, Yih-Chung Tham, Qingyu Chen

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

Exploring Large Language Models for Product Attribute Value Identification

Kassem Sabeh, Mouna Kacimi, Johann Gamper, Robert Litschko, Barbara Plank

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

Skill matching at scale: freelancer-project alignment for efficient multilingual candidate retrieval

Warren Jouanneau, Marc Palyart, Emma Jouffroy

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

Assisting humans in complex comparisons: automated information comparison at scale

Truman Yuen, Graham A. Watt, Yuri Lawryshyn

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

Comments 11 pages, 7 figures, 5 tables

Domain-Specific Improvement on Psychotherapy Chatbot Using Assistant

Cheng Kang, Daniel Novak, Katerina Urbanova, Yuqing Cheng, Yong Hu

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

Comments Accepted at ICASSP 2024 EIHRC Workshop

HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Huan Zhang, Yu Song, Ziyu Hou, Santiago Miret, Bang Liu

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

Comments Under Review on EMNLP 2024

MemLong: Memory-Augmented Retrieval for Long Text Modeling

Weijie Liu, Zecheng Tang, Juntao Li, Kehai Chen, Min Zhang

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

A Statistical Framework for Data-dependent Retrieval-Augmented Models

Soumya Basu, Ankit Singh Rawat, Manzil Zaheer

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

Writing in the Margins: Better Inference Pattern for Long Context Retrieval

Melisa Russak, Umar Jamil, Christopher Bryant, Kiran Kamble, Axel Magnuson, Mateusz Russak, Waseem AlShikh

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

Mistral-SPLADE: LLMs for better Learned Sparse Retrieval

Meet Doshi, Vishwajeet Kumar, Rudra Murthy, Vignesh P, Jaydeep Sen

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

Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation

Jiachen Zhu, Jianghao Lin, Xinyi Dai, Bo Chen, Rong Shan, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang

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

Exploiting Novel GPT-4 APIs

Kellin Pelrine, Mohammad Taufeeque, Michał Zając, Euan McLean, Adam Gleave

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

Comments 10 pages, 1 figure, 4 tables

Industrial-Grade Smart Troubleshooting through Causal Technical Language Processing: a Proof of Concept

Alexandre Trilla, Ossee Yiboe, Nenad Mijatovic, Jordi Vitrià

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

Comments 2nd Workshop on Causal Inference and Machine Learning in Practice at the KDD 2024 Conference. arXiv admin note: text overlap with arXiv:2407.11056

Learning Robust Named Entity Recognizers From Noisy Data With Retrieval Augmentation

Chaoyi Ai, Yong Jiang, Shen Huang, Pengjun Xie, Kewei Tu

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

Physics of Language Models: Part 3.2, Knowledge Manipulation

Zeyuan Allen-Zhu, Yuanzhi Li

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

Comments V2 polishes writing and includes additional Llama/Mistral experiments and larger data; but the conclusions remain unchanged

Learning Retrieval Augmentation for Personalized Dialogue Generation

Qiushi Huang, Shuai Fu, Xubo Liu, Wenwu Wang, Tom Ko, Yu Zhang, Lilian Tang

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

Comments Accepted to EMNLP-2023

Selective Prompting Tuning for Personalized Conversations with LLMs

Qiushi Huang, Xubo Liu, Tom Ko, Bo Wu, Wenwu Wang, Yu Zhang, Lilian Tang

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

Comments Accepted to ACL 2024 findings