RAG / 检索增强生成

Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models

Wenqi Jiang, Marco Zeller, Roger Waleffe, Torsten Hoefler, Gustavo Alonso

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

Comments Accepted by VLDB 2025

Bootstrap Your Own Context Length

Liang Wang, Nan Yang, Xingxing Zhang, Xiaolong Huang, Furu Wei

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

Comments 19 pages

AI-native Memory 2.0: Second Me

Jiale Wei, Xiang Ying, Tao Gao, Fangyi Bao, Felix Tao, Jingbo Shang

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

Unlocking Legal Knowledge with Multi-Layered Embedding-Based Retrieval

João Alberto de Oliveira Lima

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

Comments 27 pages, 10 figures

Journal ref Artificial Intelligence in Legislative Services: Principles for Effective Implementation. 2024

Delusions of Large Language Models

Hongshen Xu, Zixv yang, Zichen Zhu, Kunyao Lan, Zihan Wang, Mengyue Wu, Ziwei Ji, Lu Chen, Pascale Fung, Kai Yu

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

IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval

Tingyu Song, Guo Gan, Mingsheng Shang, Yilun Zhao

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

Comments NAACL 2025 Main

Evaluating Search Engines and Large Language Models for Answering Health Questions

Marcos Fernández-Pichel, Juan C. Pichel, David E. Losada

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

Rethinking Data: Towards Better Performing Domain-Specific Small Language Models

Boris Nazarov, Darya Frolova, Yackov Lubarsky, Alexei Gaissinski, Pavel Kisilev

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

Journal ref IEEE Global Communications Conference, GLOBECOM 2024 Workshop IMMLLM6G

CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking

Tarun Suresh, Revanth Gangi Reddy, Yifei Xu, Zach Nussbaum, Andriy Mulyar, Brandon Duderstadt, Heng Ji

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

Comments Published as a conference paper at ICLR 2025. First and second author had equal contribution

RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements

Zaifu Zhan, Shuang Zhou, Mingchen Li, Rui Zhang

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

Journal ref Journal of the American Medical Informatics Association, Volume 32, Issue 3, March 2025, Pages 545:554

Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers

Shijie Chen, Bernal Jiménez Gutiérrez, Yu Su

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

Comments ICLR 2025

The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve?

Zhenheng Tang, Xiang Liu, Qian Wang, Peijie Dong, Bingsheng He, Xiaowen Chu, Bo Li

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

R$^3$Mem: Bridging Memory Retention and Retrieval via Reversible Compression

Xiaoqiang Wang, Suyuchen Wang, Yun Zhu, Bang Liu

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

Comments Work in progress

MutaGReP: Execution-Free Repository-Grounded Plan Search for Code-Use

Zaid Khan, Ali Farhadi, Ranjay Krishna, Luca Weihs, Mohit Bansal, Tanmay Gupta

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

Comments Project page: zaidkhan.me/MutaGReP

EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts

Subhajit Chaudhury, Payel Das, Sarathkrishna Swaminathan, Georgios Kollias, Elliot Nelson, Khushbu Pahwa, Tejaswini Pedapati, Igor Melnyk, Matthew Riemer

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

Extracting Sentence Embeddings from Pretrained Transformer Models

Lukas Stankevičius, Mantas Lukoševičius

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

Comments Postprint update

Journal ref Appl. Sci. 2024, 14(19), 8887

Adaptive In-Context Learning with Large Language Models for Bundle Generation

Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu

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

Comments Accepted by SIGIR 2024

Journal ref The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2024

Few-shot LLM Synthetic Data with Distribution Matching

Jiyuan Ren, Zhaocheng Du, Zhihao Wen, Qinglin Jia, Sunhao Dai, Chuhan Wu, Zhenhua Dong

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

Comments 10 pages, 5 figures, accepted at www 2025

A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia

Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kıcıman, Hamid Palangi, Barun Patra, Robert West

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

Comments Accepted at ACL 2024 (main conference)

Learning vs Retrieval: The Role of In-Context Examples in Regression with Large Language Models

Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi

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

Aligning Large Language Models for Enhancing Psychiatric Interviews Through Symptom Delineation and Summarization: Pilot Study

Jae-hee So, Joonhwan Chang, Eunji Kim, Junho Na, JiYeon Choi, Jy-yong Sohn, Byung-Hoon Kim, Sang Hui Chu

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

Journal ref JMIR Form Res 2024;8:e58418

LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge

Shaswata Mitra, Subash Neupane, Trisha Chakraborty, Sudip Mittal, Aritran Piplai, Manas Gaur, Shahram Rahimi

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

Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions

Hongru Wang, Boyang Xue, Baohang Zhou, Tianhua Zhang, Cunxiang Wang, Huimin Wang, Guanhua Chen, Kam-fai Wong

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

CoT-Driven Framework for Short Text Classification: Enhancing and Transferring Capabilities from Large to Smaller Model

Hui Wu, Yuanben Zhang, Zhonghe Han, Yingyan Hou, Lei Wang, Siye Liu, Qihang Gong, Yunping Ge

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

Comments Knowledge-Based Systems

Dialogue Benchmark Generation from Knowledge Graphs with Cost-Effective Retrieval-Augmented LLMs

Reham Omar, Omij Mangukiya, Essam Mansour

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

Comments The paper is publsihed in SIGMOD 2025

ListConRanker: A Contrastive Text Reranker with Listwise Encoding

Junlong Liu, Yue Ma, Ruihui Zhao, Junhao Zheng, Qianli Ma, Yangyang Kang

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

Comments 11 pages, 4 figures

Decoupling Knowledge and Reasoning in Transformers: A Modular Architecture with Generalized Cross-Attention

Zhenyu Guo, Wenguang Chen

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

An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems

Hashmath Shaik, Alex Doboli

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

Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp)

Jeongsu Yu

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

On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education

Lorenz Wendlinger, Christian Braun, Abdullah Al Zubaer, Simon Alexander Nonn, Sarah Großkopf, Christofer Fellicious, Michael Granitzer

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

Comments 11 pages