RAG / 检索增强生成

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

Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models

Jinyoung Park, Ameen Patel, Omar Zia Khan, Hyunwoo J. Kim, Joo-Kyung Kim

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

Comments Preprint

Debate as Optimization: Adaptive Conformal Prediction and Diverse Retrieval for Event Extraction

Sijia Wang, Lifu Huang

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

Language Modeling with Editable External Knowledge

Belinda Z. Li, Emmy Liu, Alexis Ross, Abbas Zeitoun, Graham Neubig, Jacob Andreas

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

R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models

Shangqing Tu, Yuanchun Wang, Jifan Yu, Yuyang Xie, Yaran Shi, Xiaozhi Wang, Jing Zhang, Lei Hou, Juanzi Li

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

Comments 12 pages, 9 figures, Accepted by KDD2024

FoodSky: A Food-oriented Large Language Model that Passes the Chef and Dietetic Examination

Pengfei Zhou, Weiqing Min, Chaoran Fu, Ying Jin, Mingyu Huang, Xiangyang Li, Shuhuan Mei, Shuqiang Jiang

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

Comments 32 pages, 19 figures

Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval

Ravisri Valluri, Akash Kumar Mohankumar, Kushal Dave, Amit Singh, Jian Jiao, Manik Varma, Gaurav Sinha

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

Comments 14 pages, 6 tables, 2 figures

DAPR: A Benchmark on Document-Aware Passage Retrieval

Kexin Wang, Nils Reimers, Iryna Gurevych

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

Comments Accepted at ACL 2024 Main Conference

ReFIT: Relevance Feedback from a Reranker during Inference

Revanth Gangi Reddy, Pradeep Dasigi, Md Arafat Sultan, Arman Cohan, Avirup Sil, Heng Ji, Hannaneh Hajishirzi

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

Comments Preprint

Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images

Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng

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

Comments Accepted by SIGIR 2024

AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings

Revanth Gangi Reddy, Omar Attia, Yunyao Li, Heng Ji, Saloni Potdar

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

RE-Adapt: Reverse Engineered Adaptation of Large Language Models

William Fleshman, Benjamin Van Durme

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

Towards Retrieval-Augmented Architectures for Image Captioning

Sara Sarto, Marcella Cornia, Lorenzo Baraldi, Alessandro Nicolosi, Rita Cucchiara

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

Comments ACM Transactions on Multimedia Computing, Communications and Applications (2024)

UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt -- A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis

Parth Vashisht, Abhilasha Lodha, Mukta Maddipatla, Zonghai Yao, Avijit Mitra, Zhichao Yang, Junda Wang, Sunjae Kwon, Hong Yu

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

Comments Accepted at NAACL-ClinicalNLP workshop 2024

When to Retrieve: Teaching LLMs to Utilize Information Retrieval Effectively

Tiziano Labruna, Jon Ander Campos, Gorka Azkune

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

RA-DIT: Retrieval-Augmented Dual Instruction Tuning

Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Rich James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Scott Yih

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

Comments v4: ICLR 2024 camera-ready version

Beyond Relevance: Evaluate and Improve Retrievers on Perspective Awareness

Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Tongshuang Wu

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

Understanding Privacy Risks of Embeddings Induced by Large Language Models

Zhihao Zhu, Ninglu Shao, Defu Lian, Chenwang Wu, Zheng Liu, Yi Yang, Enhong Chen

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

Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval

Guangyuan Ma, Xing Wu, Zijia Lin, Songlin Hu

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

Comments Accepted by SIGIR24. Our code is available at https://github.com/ma787639046/bowdpr

Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation

Alireza Salemi, Surya Kallumadi, Hamed Zamani

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

RRAML: Reinforced Retrieval Augmented Machine Learning

Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini

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

Journal ref CEUR Workshop Proceedings (2023, Vol. 3537, pp. 29-37)

RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning

Alexander Scarlatos, Andrew Lan

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