RAG / 检索增强生成

Flow State: Humans Enabling AI Systems to Program Themselves

Helena Zhang, Jakobi Haskell, Yosef Frost

专题命中 长文档RAG ：RAG(abstract)；分类 cs.AI

Comments 25 pages, 4 figures, 5 tables. Describes a minimalist framework for human-AI co-design of compound AI systems

CONSTRUCTA: Automating Commercial Construction Schedules in Fabrication Facilities with Large Language Models

Yifan Zhang, Xue Yang

专题命中 长文档RAG ：RAG(abstract)；分类 cs.AI

LLMmap: Fingerprinting For Large Language Models

Dario Pasquini, Evgenios M. Kornaropoulos, Giuseppe Ateniese

专题命中 长文档RAG ：RAG(abstract)；分类 cs.AI

Comments Appearing in the proceedings of the 34th USENIX Security Symposium

Perception Compressor: A Training-Free Prompt Compression Framework in Long Context Scenarios

Jiwei Tang, Jin Xu, Tingwei Lu, Zhicheng Zhang, Yiming Zhao, Lin Hai, Hai-Tao Zheng

专题命中 长文档RAG ：retriever(abstract)；分类 cs.CL

Comments Accepted at NAACL 2025 Findings

Practical Design and Benchmarking of Generative AI Applications for Surgical Billing and Coding

John C. Rollman, Bruce Rogers, Hamed Zaribafzadeh, Daniel Buckland, Ursula Rogers, Jennifer Gagnon, Ozanan Meireles, Lindsay Jennings, Jim Bennett, Jennifer Nicholson, Nandan Lad, Linda Cendales, Andreas Seas, Alessandro Martinino, E. Shelley Hwang, Allan D. Kirk

专题命中 长文档RAG ：RAG(abstract)；分类 cs.CL

Comments 21 pages, 3 figures, 2 tables

A Silver Bullet or a Compromise for Full Attention? A Comprehensive Study of Gist Token-based Context Compression

Chenlong Deng, Zhisong Zhang, Kelong Mao, Shuaiyi Li, Xinting Huang, Dong Yu, Zhicheng Dou

专题命中 长文档RAG ：retrieval-augmented generation(abstract)；分类 cs.CL

Fine-tuning Large Language Models for Domain-specific Machine Translation

Jiawei Zheng, Hanghai Hong, Feiyan Liu, Xiaoli Wang, Jingsong Su, Yonggui Liang, Shikai Wu

专题命中 长文档RAG ：RAG(abstract)；分类 cs.CL

Comments 13 pages, 5 figures, 9 tables

On the Way to LLM Personalization: Learning to Remember User Conversations

Lucie Charlotte Magister, Katherine Metcalf, Yizhe Zhang, Maartje ter Hoeve

专题命中 长文档RAG ：RAG(abstract)；分类 cs.CL

Comments 16 pages, 6 tables, 3 figures

LongEmbed: Extending Embedding Models for Long Context Retrieval

Dawei Zhu, Liang Wang, Nan Yang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li

专题命中 长文档RAG ：RAG(abstract)；分类 cs.CL

Comments EMNLP 2024 Camera Ready

RAGulator: Lightweight Out-of-Context Detectors for Grounded Text Generation

Ian Poey, Jiajun Liu, Qishuai Zhong, Adrien Chenailler

专题命中 长文档RAG ：RAG(abstract)；分类 cs.CL

PDL: A Declarative Prompt Programming Language

Mandana Vaziri, Louis Mandel, Claudio Spiess, Martin Hirzel

专题命中 长文档RAG ：RAG(abstract)；分类 cs.AI

Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices

Ruiyang Qin, Dancheng Liu, Chenhui Xu, Zheyu Yan, Zhaoxuan Tan, Zhenge Jia, Amir Nassereldine, Jiajie Li, Meng Jiang, Ahmed Abbasi, Jinjun Xiong, Yiyu Shi

专题命中 长文档RAG ：RAG(abstract)；分类 cs.AI

Comments Benckmarking paper

SwiftDossier: Tailored Automatic Dossier for Drug Discovery with LLMs and Agents

Gabriele Fossi, Youssef Boulaimen, Leila Outemzabet, Nathalie Jeanray, Stephane Gerart, Sebastien Vachenc, Joanna Giemza, Salvatore Raieli

专题命中 长文档RAG ：RAG(abstract)；分类 cs.AI

Comments 10 pages, 7 figures, 2 tables

MaxMind: A Memory Loop Network to Enhance Software Productivity based on Large Language Models

Yuchen Dong, XiaoXiang Fang, Yuchen Hu, Renshuang Jiang, Zhe Jiang

专题命中 长文档RAG ：RAG(abstract)；分类 cs.AI

Recording First-person Experiences to Build a New Type of Foundation Model

Dionis Barcari, David Gamez, Aliya Grig

专题命中 长文档RAG ：RAG(abstract)；分类 cs.AI

Comments 5 pages, 5 figures, 3 tables. arXiv admin note: substantial text overlap with arXiv:2408.00030

A New Type of Foundation Model Based on Recordings of People's Emotions and Physiology

David Gamez, Dionis Barcari, Aliya Grig

专题命中 长文档RAG ：RAG(abstract)；分类 cs.AI

Comments 12 pages, 2 figures, 3 tables

S$^3$HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering

Fangyu Lei, Xiang Li, Yifan Wei, Shizhu He, Yiming Huang, Jun Zhao, Kang Liu

专题命中 长文档RAG ：retriever(abstract)；分类 cs.CL

Comments ACL 2023

Exploring Fact Memorization and Style Imitation in LLMs Using QLoRA: An Experimental Study and Quality Assessment Methods

Eugene Vyborov, Oleksiy Osypenko, Serge Sotnyk

专题命中 长文档RAG ：RAG(abstract)；分类 cs.CL

Comments 16 pages, 5 tables

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning

Jiashuo Sun, Hang Zhang, Chen Lin, Xiangdong Su, Yeyun Gong, Jian Guo

专题命中 长文档RAG ：retriever(abstract)；分类 cs.CL

Comments Accepted by COLING 2024

Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification

Garima Chhikara, Anurag Sharma, Kripabandhu Ghosh, Abhijnan Chakraborty

专题命中 长文档RAG ：RAG(abstract)；分类 cs.CL

Comments Under review

GenDec: A robust generative Question-decomposition method for Multi-hop reasoning

Jian Wu, Linyi Yang, Yuliang Ji, Wenhao Huang, Börje F. Karlsson, Manabu Okumura

专题命中 长文档RAG ：RAG(abstract)；分类 cs.CL

Robust Action Governor for Uncertain Piecewise Affine Systems with Non-convex Constraints and Safe Reinforcement Learning

Yutong Li, Nan Li, H. Eric Tseng, Anouck Girard, Dimitar Filev, Ilya Kolmanovsky

专题命中 长文档RAG ：RAG(abstract)；分类 cs.AI

Efficient Nehari manifold optimization algorithms for computing ground state solutions of nonlinear elliptic systems

高效Nehari流形优化算法用于计算非线性椭圆系统的基态解

Zhaoxing Chen, Wei Liu, Ziqing Xie, Wenfan Yi

专题命中 长文档RAG ：RAG(abstract)

AI总结 本文提出了一种高效的Nehari流形优化算法，用于计算半线性椭圆系统的基态解，通过结合NMOM与Nesterov加速方法，改进了稳定性与计算效率。

Comments 26 pages, 17 figures

IOAgent: Democratizing Trustworthy HPC I/O Performance Diagnosis Capability via LLMs

IOAgent: 通过LLMs普及可信的HPC I/O性能诊断能力

Chris Egersdoerfer, Arnav Sareen, Jean Luca Bez, Suren Byna, Dongkuan Xu, Dong Dai

专题命中 长文档RAG ：RAG(abstract)

AI总结 IOAgent通过LLMs实现HPC I/O性能诊断的自动化，提供准确诊断和交互接口，提升领域科学家的生产力。

Comments Published in the Proceedings of the 2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS 2025)

The Agent Economy: A Blockchain-Based Foundation for Autonomous AI Agents

智能体经济：一种基于区块链的自主AI智能体基础

Minghui Xu

专题命中 长文档RAG ：RAG(abstract)

AI总结 本文提出基于区块链的智能体经济框架，通过五层架构实现自主AI智能体的经济自主性，解决身份、认知、经济和治理等核心问题。

Comments 17 pages, 2 figure

Lessons Learned from Integrating Generative AI into an Introductory Undergraduate Astronomy Course at Harvard

哈佛大学初级大学天文课程中整合生成式人工智能的教训

Christopher W. Stubbs, Dongpeng Huang, Jungyoon Koh, Madeleine Woods, Andrés A. Plazas Malagón

专题命中 长文档RAG ：RAG(abstract)

AI总结 哈佛大学将生成式人工智能整合到初级天文课程中，通过教学工具、作业设计和考试改革，评估其对学生学习效果的影响。

Comments 27 pages, submitted to the Journal of Astronomy and Earth Sciences Education

Bridging Instead of Replacing Online Coding Communities with AI through Community-Enriched Chatbot Designs

通过社区增强的聊天机器人设计连接而非取代在线编程社区

Junling Wang, Lahari Goswami, Gustavo Kreia Umbelino, Kiara Chau, Mrinmaya Sachan, April Yi Wang

专题命中 长文档RAG ：RAG(abstract)

AI总结 本文提出Community-Enriched AI设计范式，通过整合在线编程社区内容提升AI聊天机器人与社区的互动性，增强用户信任并支持学习者解决问题。

Comments Accepted at the ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2026). To appear in PACMHCI

Advancing Automated In-Isolation Validation in Repository-Level Code Translation

在仓库级代码翻译中推进自动化独立验证

Kaiyao Ke, Ali Reza Ibrahimzada, Rangeet Pan, Saurabh Sinha, Reyhaneh Jabbarvand

专题命中 长文档RAG ：RAG(abstract)

AI总结 TRAM通过结合上下文感知的类型解析与基于模拟的独立验证，实现了高质量的编程语言间翻译，尤其在Java到Python的翻译中表现出色。

MMhops-R1: Multimodal Multi-hop Reasoning

MMhops-R1: 多模态多跳推理

Tao Zhang, Ziqi Zhang, Zongyang Ma, Yuxin Chen, Bing Li, Chunfeng Yuan, Guangting Wang, Fengyun Rao, Ying Shan, Weiming Hu

专题命中 长文档RAG ：retrieval-augmented generation(abstract)

AI总结 MMhops-R1通过动态规划和多模态知识整合，提升多跳推理能力，提出新型mRAG框架并提供挑战性基准。

Comments Acceped by AAAI 2026

Knowing Ourselves Through Others: Reflecting with AI in Digital Human Debates

Ichiro Matsuda, Komichi Takezawa, Katsuhito Muroi, Kensuke Katori, Ryosuke Hyakuta, Jingjing Li, Yoichi Ochiai

专题命中 长文档RAG ：RAG(abstract)