RAG / 检索增强生成

Relic: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples

Soumya Suvra Ghosal, Vaibhav Singh, Akash Ghosh, Soumyabrata Pal, Subhadip Baidya, Sriparna Saha, Dinesh Manocha

机构 * University of Maryland, College Park（马里兰大学 College Park 分校） ； IIT Bombay（印度理工学院班加罗尔分校） ； IIT Patna（印度理工学院帕坦分校） ； Adobe Research（Adobe 研究院） ； IIT Kanpur（印度理工学院坎普尔分校） 纠错

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

Dynamic Knowledge Integration for Evidence-Driven Counter-Argument Generation with Large Language Models

Anar Yeginbergen, Maite Oronoz, Rodrigo Agerri

机构 * HiTZ Center - Ixa, University of the Basque Country UPV/EHU（巴斯克大学HiTZ中心） 纠错

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

Comments ACL 2025

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language

Larissa Mori, Carlos Sousa de Oliveira, Yuehwern Yih, Mario Ventresca

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

Refract ICL: Rethinking Example Selection in the Era of Million-Token Models

Arjun R. Akula, Kazuma Hashimoto, Krishna Srinivasan, Aditi Chaudhary, Karthik Raman, Michael Bendersky

机构 * Google DeepMind（谷歌DeepMind） 纠错

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

Large Language Models for History, Philosophy, and Sociology of Science: Interpretive Uses, Methodological Challenges, and Critical Perspectives

Arno Simons, Michael Zichert, Adrian Wüthrich

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

Comments 27 pages, 2 tables

Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced Claims

Priyanka Kargupta, Runchu Tian, Jiawei Han

机构 * Department of Computer Science, University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校计算机科学系） 纠错

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

Comments Accepted to ACL 2025 Main Conference. Code available at: https://github.com/pkargupta/claimspect

Efficient Length-Generalizable Attention via Causal Retrieval for Long-Context Language Modeling

Xiang Hu, Zhihao Teng, Jun Zhao, Wei Wu, Kewei Tu

机构 * ShanghaiTech University（上海科技大学） ； Fudan University（复旦大学） 纠错

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

Comments accepted to ICML 2025

Reasoning Language Models: A Blueprint

Maciej Besta, Julia Barth, Eric Schreiber, Ales Kubicek, Afonso Catarino, Robert Gerstenberger, Piotr Nyczyk, Patrick Iff, Yueling Li, Sam Houliston, Tomasz Sternal, Marcin Copik, Grzegorz Kwaśniewski, Jürgen Müller, Łukasz Flis, Hannes Eberhard, Zixuan Chen, Hubert Niewiadomski, Torsten Hoefler

机构 * ETH Zurich（苏黎世联邦理工学院） ； Cledar（Cledar公司） ； BASF SE（巴斯夫股份有限公司） ； Cyfronet AGH（AGH计算机科学学院） 纠错

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

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning

Junqi Gao, Xiang Zou, YIng Ai, Dong Li, Yichen Niu, Biqing Qi, Jianxing Liu

机构 * Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） ； School of Mathematics, Harbin Institute of Technology（哈尔滨工业大学数学学院） ； Department of Control Science and Engineering, Harbin Institute of Technology（哈尔滨工业大学控制科学与工程学院） 纠错

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

Comments Accepted by ACL 2025

A Survey on (M)LLM-Based GUI Agents

Fei Tang, Haolei Xu, Hang Zhang, Siqi Chen, Xingyu Wu, Yongliang Shen, Wenqi Zhang, Guiyang Hou, Zeqi Tan, Yuchen Yan, Kaitao Song, Jian Shao, Weiming Lu, Jun Xiao, Yueting Zhuang

机构 * Zhejiang University（浙江大学） ； Microsoft Research Asia（微软亚洲研究院） 纠错

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

Trust-Oriented Adaptive Guardrails for Large Language Models

Jinwei Hu, Yi Dong, Xiaowei Huang

机构 * University of Liverpool, UK（利物浦大学） 纠错

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

Comments Under Review

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR

Dayoon Ko, Jinyoung Kim, Sohyeon Kim, Jinhyuk Kim, Jaehoon Lee, Seonghak Song, Minyoung Lee, Gunhee Kim

机构 * Seoul National University（首尔国立大学） ； POSTECH ； Samsung SDS（三星SDS） 纠错

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

Comments ACL 2025 Findings

Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing

Changyue Wang, Weihang Su, Qingyao Ai, Yujia Zhou, Yiqun Liu

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

Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies

Massimiliano Pronesti, Joao Bettencourt-Silva, Paul Flanagan, Alessandra Pascale, Oisin Redmond, Anya Belz, Yufang Hou

机构 * First Author Affiliation（第一作者机构） ； Second Author Affiliation（第二作者机构） 纠错

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

Comments Accepted at ACL 2025 Main Conference

GeAR: Generation Augmented Retrieval

Haoyu Liu, Shaohan Huang, Jianfeng Liu, Yuefeng Zhan, Hao Sun, Weiwei Deng, Feng Sun, Furu Wei, Qi Zhang

机构 * Microsoft Corporation（微软公司） 纠错

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

Comments In ACL 2025

Controllable Context Sensitivity and the Knob Behind It

Julian Minder, Kevin Du, Niklas Stoehr, Giovanni Monea, Chris Wendler, Robert West, Ryan Cotterell

机构 * ETH Zürich（苏黎世联邦理工学院） ； EPFL（苏黎世联邦理工学院） ； Cornell University（康奈尔大学） 纠错

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

Comments Published as a conference paper at ICLR 2025

ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search

Yize Zhang, Tianshu Wang, Sirui Chen, Kun Wang, Xingyu Zeng, Hongyu Lin, Xianpei Han, Le Sun, Chaochao Lu

机构 * Shanghai AI Laboratory（上海人工智能实验室） ； Shanghai Innovation Institute（上海创新研究院） ； Shanghai Jiao Tong University（上海交通大学） ； SenseTime（商汤科技） ； Institute of Software, Chinese Academy of Sciences（中国科学院软件研究所） ； Tongji University（同济大学） ； Hangzhou Institute for Advanced Study（杭州高等研究院） ； University of Chinese Academy of Sciences（中国科学院大学） 纠错

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

Comments Accepted to ACL 2025 Main. Project homepage: https://opencausalab.github.io/ARise

DailyQA: A Benchmark to Evaluate Web Retrieval Augmented LLMs Based on Capturing Real-World Changes

Jiehan Cheng, Zhicheng Dou

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

Causal Cartographer: From Mapping to Reasoning Over Counterfactual Worlds

Gaël Gendron, Jože M. Rožanec, Michael Witbrock, Gillian Dobbie

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

Comments 29 pages, 9 pages for the main paper, 20 pages for the references and appendix, 25 figures

Exploring new Approaches for Information Retrieval through Natural Language Processing

Manak Raj, Nidhi Mishra

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

Comments 12 pages, 4 figures, comprehensive literature review covering six key IR-NLP papers, plus keywords and full reference list

Memorization and Knowledge Injection in Gated LLMs

Xu Pan, Ely Hahami, Zechen Zhang, Haim Sompolinsky

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

A model and package for German ColBERT

Thuong Dang, Qiqi Chen

机构 * Thuong Dang, Qiqi Chen（独立研究者） 纠错

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

Multi-Field Adaptive Retrieval

Millicent Li, Tongfei Chen, Benjamin Van Durme, Patrick Xia

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

Comments ICLR 2025, Spotlight

Patience is all you need! An agentic system for performing scientific literature review

David Brett, Anniek Myatt

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

Comments 10 pages, 5 figures

Role of Databases in GenAI Applications

Santosh Bhupathi

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

LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking

Qi Liu, Haozhe Duan, Yiqun Chen, Quanfeng Lu, Weiwei Sun, Jiaxin Mao

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

TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions

Abdelrahman Abdallah, Bhawna Piryani, Jonas Wallat, Avishek Anand, Adam Jatowt

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

GME: Improving Universal Multimodal Retrieval by Multimodal LLMs

Xin Zhang, Yanzhao Zhang, Wen Xie, Mingxin Li, Ziqi Dai, Dingkun Long, Pengjun Xie, Meishan Zhang, Wenjie Li, Min Zhang

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

Comments Accepted to CVPR 2025, models at https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-2B-Instruct

RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models

Haoran Hao, Jiaming Han, Changsheng Li, Yu-Feng Li, Xiangyu Yue

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

Comments Accepted by CVPR 2025. Code: https://github.com/Hoar012/RAP-MLLM

OntoAligner: A Comprehensive Modular and Robust Python Toolkit for Ontology Alignment

Hamed Babaei Giglou, Jennifer D'Souza, Oliver Karras, Sören Auer

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

Comments 18 pages, 3 figures. Accepted for the ESWC 2025 Resource Track