RAG / 检索增强生成

Large Language Models are Limited in Out-of-Context Knowledge Reasoning

Peng Hu, Changjiang Gao, Ruiqi Gao, Jiajun Chen, Shujian Huang

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

A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models

Yixi Wu, Pengfei He, Zehao Wang, Shaowei Wang, Yuan Tian, Tse-Hsun Chen

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

Disentangling Questions from Query Generation for Task-Adaptive Retrieval

Yoonsang Lee, Minsoo Kim, Seung-won Hwang

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

A Compressive Memory-based Retrieval Approach for Event Argument Extraction

Wanlong Liu, Enqi Zhang, Li Zhou, Dingyi Zeng, Shaohuan Cheng, Chen Zhang, Malu Zhang, Wenyu Chen

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

Comments 15 pages

RAGent: Retrieval-based Access Control Policy Generation

Sakuna Harinda Jayasundara, Nalin Asanka Gamagedara Arachchilage, Giovanni Russello

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

Comments Submitted to Usenix 2025

Experimenting with Legal AI Solutions: The Case of Question-Answering for Access to Justice

Jonathan Li, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu

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

Comments Accepted into GenLaw '24 (ICML 2024 workshop)

LexBoost: Improving Lexical Document Retrieval with Nearest Neighbors

Hrishikesh Kulkarni, Nazli Goharian, Ophir Frieder, Sean MacAvaney

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

Comments ACM DocEng 2024

Journal ref ACM Symposium on Document Engineering 2024 (DocEng '24), August 20-23, 2024, San Jose, CA, USA. ACM, New York, NY, USA

Expanding on EnCLAP with Auxiliary Retrieval Model for Automated Audio Captioning

Jaeyeon Kim, Jaeyoon Jung, Minjeong Jeon, Sang Hoon Woo, Jinjoo Lee

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

Comments DCASE2024 Challenge Technical Report. Ranked 2nd in Task 6 Automated Audio Captioning

Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4

Jiaxian Guo, Bo Yang, Paul Yoo, Bill Yuchen Lin, Yusuke Iwasawa, Yutaka Matsuo

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

Boosting Lossless Speculative Decoding via Feature Sampling and Partial Alignment Distillation

Lujun Gui, Bin Xiao, Lei Su, Weipeng Chen

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

Comments The work was not submitted to AAAI 2025

Enhancing and Accelerating Large Language Models via Instruction-Aware Contextual Compression

Haowen Hou, Fei Ma, Binwen Bai, Xinxin Zhu, Fei Yu

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

Comments 20 pages

Crafting the Path: Robust Query Rewriting for Information Retrieval

Ingeol Baek, Jimin Lee, Joonho Yang, Hwanhee Lee

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

Comments 3 figures, 13 tables

In-Context Learning with Reinforcement Learning for Incomplete Utterance Rewriting

Haowei Du, Dongyan Zhao

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

What are the limits of cross-lingual dense passage retrieval for low-resource languages?

Jie Wu, Zhaochun Ren, Suzan Verberne

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

BMX: Entropy-weighted Similarity and Semantic-enhanced Lexical Search

Xianming Li, Julius Lipp, Aamir Shakir, Rui Huang, Jing Li

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

Comments correct the affiliation order

Finch: Prompt-guided Key-Value Cache Compression

Giulio Corallo, Paolo Papotti

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

Comments Accepted for publication at TACL - pre-MIT Press publication version

NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning

Nathaniel Weir, Peter Clark, Benjamin Van Durme

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

Comments Published at IJCAI 2024

What Evidence Do Language Models Find Convincing?

Alexander Wan, Eric Wallace, Dan Klein

专题命中 检索器与排序 ：RAG(abstract)；分类 cs.CL

Comments ACL 2024 (Main)

Leveraging Inter-Chunk Interactions for Enhanced Retrieval in Large Language Model-Based Question Answering

Tiezheng Guo, Chen Wang, Yanyi Liu, Jiawei Tang, Pan Li, Sai Xu, Qingwen Yang, Xianlin Gao, Zhi Li, Yingyou Wen

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

Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text Retrieval

Gangyan Zeng, Yuan Zhang, Jin Wei, Dongbao Yang, Peng Zhang, Yiwen Gao, Xugong Qin, Yu Zhou

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

Comments Accepted by ACM MM 2024

Can Public LLMs be used for Self-Diagnosis of Medical Conditions ?

Nikil Sharan Prabahar Balasubramanian, Sagnik Dakshit

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

Comments 11 Pages, 4 figures, Submitted to ACM Transactions on Computing for Healthcare

CourseAssist: Pedagogically Appropriate AI Tutor for Computer Science Education

Ty Feng, Sa Liu, Dipak Ghosal

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

Comments Accepted to SIGCSE Virtual 2024

PatchFinder: A Two-Phase Approach to Security Patch Tracing for Disclosed Vulnerabilities in Open-Source Software

Kaixuan Li, Jian Zhang, Sen Chen, Han Liu, Yang Liu, Yixiang Chen

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

Comments to appear at ISSTA 2024

KaPQA: Knowledge-Augmented Product Question-Answering

Swetha Eppalapally, Daksh Dangi, Chaithra Bhat, Ankita Gupta, Ruiyi Zhang, Shubham Agarwal, Karishma Bagga, Seunghyun Yoon, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt

专题命中 检索器与排序 ：RAG(abstract)；分类 cs.CL

Comments Accepted at the ACL 2024 Workshop on Knowledge Augmented Methods for NLP

Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities

Tianjie Ju, Yiting Wang, Xinbei Ma, Pengzhou Cheng, Haodong Zhao, Yulong Wang, Lifeng Liu, Jian Xie, Zhuosheng Zhang, Gongshen Liu

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

Comments 18 Pages, working in progress

TaskGen: A Task-Based, Memory-Infused Agentic Framework using StrictJSON

John Chong Min Tan, Prince Saroj, Bharat Runwal, Hardik Maheshwari, Brian Lim Yi Sheng, Richard Cottrill, Alankrit Chona, Ambuj Kumar, Mehul Motani

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

Comments 53 pages

Retrieval-Pretrained Transformer: Long-range Language Modeling with Self-retrieval

Ohad Rubin, Jonathan Berant

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

Comments Accepted to TACL 2024

Retrieval-Augmented and Knowledge-Grounded Language Models for Faithful Clinical Medicine

Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu Sun, Yang Yang, David A. Clifton

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

Mitigating Interpretation Bias in Rock Records with Large Language Models: Insights from Paleoenvironmental Analysis

Luoqi Wang, Haipeng Li, Linshu Hu, Jiarui Cai, Zhenhong Du

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

AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence

Alireza Ghafarollahi, Markus J. Buehler

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