RAG / 检索增强生成

1-800-SHARED-TASKS at RegNLP: Lexical Reranking of Semantic Retrieval (LeSeR) for Regulatory Question Answering

Jebish Purbey, Drishti Sharma, Siddhant Gupta, Khawaja Murad, Siddartha Pullakhandam, Ram Mohan Rao Kadiyala

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

Comments 5 pages, Accepted to RegNLP @ COLING 2025

Language Model Powered Digital Biology with BRAD

Joshua Pickard, Ram Prakash, Marc Andrew Choi, Natalie Oliven, Cooper Stansbury, Jillian Cwycyshyn, Alex Gorodetsky, Alvaro Velasquez, Indika Rajapakse

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

Comments 12 pages, 3 figures, 1 table. See: https://github.com/Jpickard1/BRAD

Teaching Smaller Language Models To Generalise To Unseen Compositional Questions (Full Thesis)

Tim Hartill

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

Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios

Shaochen Xu, Yifan Zhou, Zhengliang Liu, Zihao Wu, Tianyang Zhong, Huaqin Zhao, Yiwei Li, Hanqi Jiang, Yi Pan, Junhao Chen, Jin Lu, Wei Zhang, Tuo Zhang, Lu Zhang, Dajiang Zhu, Xiang Li, Wei Liu, Quanzheng Li, Andrea Sikora, Xiaoming Zhai, Zhen Xiang, Tianming Liu

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

AddrLLM: Address Rewriting via Large Language Model on Nationwide Logistics Data

Qinchen Yang, Zhiqing Hong, Dongjiang Cao, Haotian Wang, Zejun Xie, Tian He, Yunhuai Liu, Yu Yang, Desheng Zhang

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

Comments Accepted by KDD'25 ADS Track

Advancing Large Language Models for Spatiotemporal and Semantic Association Mining of Similar Environmental Events

Yuanyuan Tian, Wenwen Li, Lei Hu, Xiao Chen, Michael Brook, Michael Brubaker, Fan Zhang, Anna K. Liljedahl

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

Automated Clinical Data Extraction with Knowledge Conditioned LLMs

Diya Li, Asim Kadav, Aijing Gao, Rui Li, Richard Bourgon

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

Comments COLING25 Industry Track

How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?

Yang Luo, Zangwei Zheng, Zirui Zhu, Yang You

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

Comments EMNLP 2024

Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers

Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Bahareh Sarrafzadeh, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi

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

Comments Accepted to Workshop on Customizable NLP at EMNLP 2024

Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models

Aashiq Muhamed, Mona Diab, Virginia Smith

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

What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration

Libo Qin, Qiguang Chen, Hao Fei, Zhi Chen, Min Li, Wanxiang Che

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

Comments Accepted at NeurIPS 2024

Historical Test-time Prompt Tuning for Vision Foundation Models

Jingyi Zhang, Jiaxing Huang, Xiaoqin Zhang, Ling Shao, Shijian Lu

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

Comments NeurIPS 2024 Camera Ready

README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP

Zonghai Yao, Nandyala Siddharth Kantu, Guanghao Wei, Hieu Tran, Zhangqi Duan, Sunjae Kwon, Zhichao Yang, README annotation team, Hong Yu

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

Comments To appear in Findings of the Association for Computational Linguistics: EMNLP 2024. We sincerely appreciate the tremendous efforts of the entire README annotation team throughout the expert annotation process of the README dataset

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