RAG / 检索增强生成

Language verY Rare for All

Ibrahim Merad, Amos Wolf, Ziad Mazzawi, Yannick Léo

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

LogBabylon: A Unified Framework for Cross-Log File Integration and Analysis

Rabimba Karanjai, Yang Lu, Dana Alsagheer, Keshav Kasichainula, Lei Xu, Weidong Shi, Shou-Hsuan Stephen Huang

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

One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models

Yutao Zhu, Zhaoheng Huang, Zhicheng Dou, Ji-Rong Wen

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

Comments Accepted by AAAI 2025, repo: https://github.com/DaoD/SPRING/

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG

Nicholas Alonso, Beren Millidge

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

RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval

Kaiyue Wen, Xingyu Dang, Kaifeng Lyu

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

Comments 42 pages, 6 figures

SurgBox: Agent-Driven Operating Room Sandbox with Surgery Copilot

Jinlin Wu, Xusheng Liang, Xuexue Bai, Zhen Chen

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

Comments This work is accepted by IEEE Big Data 2024

Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects

Dominic Lohr, Marc Berges, Abhishek Chugh, Michael Kohlhase, Dennis Müller

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

Comments Accepted at Journal of Computer Assisted Learning (2024)

A Review on Scientific Knowledge Extraction using Large Language Models in Biomedical Sciences

Gabriel Lino Garcia, João Renato Ribeiro Manesco, Pedro Henrique Paiola, Lucas Miranda, Maria Paola de Salvo, João Paulo Papa

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

Comments 9 pages, 1 table, 1 figure, conference paper

Advancing Conversational Psychotherapy: Integrating Privacy, Dual-Memory, and Domain Expertise with Large Language Models

XiuYu Zhang, Zening Luo

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

Comments Accepted as a Poster at Statistical Foundations of LLMs and Foundation Models (NeurIPS 2024 Workshop)

Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output

Hithesh Sankararaman, Mohammed Nasheed Yasin, Tanner Sorensen, Alessandro Di Bari, Andreas Stolcke

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

Comments To appear in Proceedings of EMNLP 2024 Industry Track

Journal ref Proc. 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track, pp. 1305-1313

Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models

Luohe Shi, Yao Yao, Zuchao Li, Lefei Zhang, Hai Zhao

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

Comments Accepted by the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024)

LProtector: An LLM-driven Vulnerability Detection System

Ze Sheng, Fenghua Wu, Xiangwu Zuo, Chao Li, Yuxin Qiao, Lei Hang

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

Comments 5 pages, 4 figures. This is a preprint version of the article. The final version will be published in the proceedings of the IEEE conference

Exploring Advanced Large Language Models with LLMsuite

Giorgio Roffo

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

Comments Keywords: Language Model Benchmarking, Pre-Trained LLM Comparison, LLM Performance Analysis, NLP Model Evaluation Tools, Public Dataset Inference for LLMs, BLEU and ROUGE Metrics for LLM, Open Source LLM Testing Tools, Large Language Model Evaluation Software, NLP Benchmarking Suite, Comprehensive LLM Evaluation Toolkit

Qwen2.5-32B: Leveraging Self-Consistent Tool-Integrated Reasoning for Bengali Mathematical Olympiad Problem Solving

Saad Tahmid, Sourav Sarker

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

IntellBot: Retrieval Augmented LLM Chatbot for Cyber Threat Knowledge Delivery

Dincy R. Arikkat, Abhinav M., Navya Binu, Parvathi M., Navya Biju, K. S. Arunima, Vinod P., Rafidha Rehiman K. A., Mauro Conti

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

Building A Coding Assistant via the Retrieval-Augmented Language Model

Xinze Li, Hanbin Wang, Zhenghao Liu, Shi Yu, Shuo Wang, Yukun Yan, Yukai Fu, Yu Gu, Ge Yu

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

CRAT: A Multi-Agent Framework for Causality-Enhanced Reflective and Retrieval-Augmented Translation with Large Language Models

Meiqi Chen, Fandong Meng, Yingxue Zhang, Yan Zhang, Jie Zhou

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

Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs

Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang

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

Synthetic Interlocutors. Experiments with Generative AI to Prolong Ethnographic Encounters

Johan Irving Søltoft, Laura Kocksch, Anders Kristian Munk

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

Does Vec2Text Pose a New Corpus Poisoning Threat?

Shengyao Zhuang, Bevan Koopman, Guido Zuccon

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

Comments arXiv admin note: substantial text overlap with arXiv:2402.12784

ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator

Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha

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

Comments 18 pages

Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models

Mehrdad Farahani, Richard Johansson

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

Comments Accepted at EMNLP 2024

Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024

Ilias Chalkidis

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

Comments accepted to EMNLP 2024 as a short paper

Cross-lingual Contextualized Phrase Retrieval

Huayang Li, Deng Cai, Zhi Qu, Qu Cui, Hidetaka Kamigaito, Lemao Liu, Taro Watanabe

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

Comments Accepted to Findings of EMNLP 2024

OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs

Jintian Zhang, Cheng Peng, Mengshu Sun, Xiang Chen, Lei Liang, Zhiqiang Zhang, Jun Zhou, Huajun Chen, Ningyu Zhang

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

Comments EMNLP 2024 Findings; code is available at https://github.com/zjunlp/OneGen

ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures

Tobias Schimanski, Jingwei Ni, Roberto Spacey, Nicola Ranger, Markus Leippold

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

TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language Models

Jiahuan Cao, Dezhi Peng, Peirong Zhang, Yongxin Shi, Yang Liu, Kai Ding, Lianwen Jin

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

PEER: Expertizing Domain-Specific Tasks with a Multi-Agent Framework and Tuning Methods

Yiying Wang, Xiaojing Li, Binzhu Wang, Yueyang Zhou, Yingru Lin, Han Ji, Hong Chen, Jinshi Zhang, Fei Yu, Zewei Zhao, Song Jin, Renji Gong, Wanqing Xu

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

Meta Knowledge for Retrieval Augmented Large Language Models

Laurent Mombaerts, Terry Ding, Adi Banerjee, Florian Felice, Jonathan Taws, Tarik Borogovac

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

Comments Accepted in Workshop on Generative AI for Recommender Systems and Personalization, KDD 2024

Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model

Sai Ganesh, Anupam Purwar, Gautam B

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

Comments Because the dataset in which the model was trained upon wasn't consistent across different sections so it was preferred to delete this preprint