RAG / 检索增强生成

Graph Neural Networks Based Analog Circuit Link Prediction

Guanyuan Pan, Tiansheng Zhou, Jianxiang Zhao, Zhi Li, Yugui Lin, Bingtao Ma, Yaqi Wang, Pietro Liò, Shuai Wang

机构 * HDU-ITMO Joint Institute, Hangzhou Dianzi University（杭州电子科技大学信息处理联合研究所） ； Intelligent Information Processing Laboratory, Hangzhou Dianzi University（杭州电子科技大学智能信息处理实验室） ； Innovation Center for Electronic Design Automation Technology, Hangzhou Dianzi University（杭州电子科技大学电子设计自动化技术创新中心） ； School of Computer Science and Technology, South China Business College, Guangdong University of Foreign Studies（广东外语外贸大学南方商学院计算机科学与技术学院） ； Department of Computer Science and Technology, University of Cambridge（剑桥大学计算机科学与技术系） 纠错

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments Code and data will be made available on request to the corresponding author

Journal ref Pan, G., Zhou, T., Zhao, J., Li, Z., Lin, Y., Ma, B., ... & Wang, S. (2026). Graph Neural Networks Based Analog Circuit Link Prediction. Engineering Applications of Artificial Intelligence, 163, 113035

RepoScope: Leveraging Call Chain-Aware Multi-View Context for Repository-Level Code Generation

Yang Liu, Li Zhang, Fang Liu, Zhuohang Wang, Donglin Wei, Zhishuo Yang, Kechi Zhang, Jia Li, Lin Shi

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments Accepted by ICSE 2026

PredicateFix: Repairing Static Analysis Alerts with Bridging Predicates

Yuan-An Xiao, Weixuan Wang, Dong Liu, Junwei Zhou, Shengyu Cheng, Yingfei Xiong

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments 13 pages, 5 figures; accepted for ICSE 2026

ResearchGPT: Benchmarking and Training LLMs for End-to-End Computer Science Research Workflows

Penghao Wang, Yuhao Zhou, Mengxuan Wu, Ziheng Qin, Bangyuan Zhu, Shengbin Huang, Xuanlei Zhao, Panpan Zhang, Xiaojiang Peng, Yuzhang Shang, Jianfei Yang, Zheng Zhu, Tianlong Chen, Zhangyang Wang, Kai Wang

机构 * NUS（国立新加坡大学） ； NTU（国立科技大学） ； SZTU（深圳技术大学） ； UCF（佛罗里达大学） ； GigaAI（GigaAI研究所） ； UNC（北卡罗来纳大学教堂山分校） ； UT Austin（得克萨斯大学奥斯汀分校） 纠错

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

Towards an Efficient, Customizable, and Accessible AI Tutor

Juan Segundo Hevia, Facundo Arredondo, Vishesh Kumar

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments AAAI - iRAISE 2025

Generating High-Level Test Cases from Requirements using LLM: An Industry Study

Satoshi Masuda, Satoshi Kouzawa, Kyousuke Sezai, Hidetoshi Suhara, Yasuaki Hiruta, Kunihiro Kudou

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments 11pages

ADAM: A Diverse Archive of Mankind for Evaluating and Enhancing LLMs in Biographical Reasoning

Jasin Cekinmez, Omid Ghahroodi, Saad Fowad Chandle, Dhiman Gupta, Ehsaneddin Asgari

机构 * Qatar Computing Research Institute（卡塔尔计算研究所） ； Princeton University（普林斯顿大学） ； Virginia Tech（弗吉尼亚理工大学） ； Amity University（阿米蒂大学） 纠错

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；分类 cs.IR、cs.CL、cs.AI

RuCCoD: Towards Automated ICD Coding in Russian

Aleksandr Nesterov, Andrey Sakhovskiy, Ivan Sviridov, Airat Valiev, Vladimir Makharev, Petr Anokhin, Galina Zubkova, Elena Tutubalina

机构 * AIRI ； Sber AI ； Skoltech ； Sber AI Lab ； HSE University（HSE大学） ； Innopolis University（Innopolis大学） ； ISP RAS Research Center for Trusted AI（ISP RAS可信AI研究中心） 纠错

专题命中 RAG评测 ：RAG(abstract)；分类 cs.CL、cs.AI、cs.DB

Comments Accepted to EMNLP 2025 (Main Conference)

BAGELS: Benchmarking the Automated Generation and Extraction of Limitations from Scholarly Text

Ibrahim Al Azher, Miftahul Jannat Mokarrama, Zhishuai Guo, Sagnik Ray Choudhury, Hamed Alhoori

机构 * Northern Illinois University（北伊利诺伊大学） ； University of North Texas（北德克萨斯大学） 纠错

专题命中 RAG评测 ：retrieval augmented generation(abstract)；RAG(abstract)

Comments 16 pages, 8 figures, Accepted to the 2025 Conference on Empirical Methods in Natural Language Processing (Findings)

SouLLMate: An Adaptive LLM-Driven System for Advanced Mental Health Support and Assessment, Based on a Systematic Application Survey

Qiming Guo, Jinwen Tang, Wenbo Sun, Haoteng Tang, Yi Shang, Wenlu Wang

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

Accelerating Discovery: Rapid Literature Screening with LLMs

Santiago Matalonga, Domenico Amalfitano, Jean Carlo Rossa Hauck, Martín Solari, Guilherme H. Travassos

专题命中 RAG评测 ：retrieval augmented generation(abstract)；RAG(abstract)

Comments This version of the manuscript has been submitted to Empirical Software Engieering Journal for consideration

From Misunderstandings to Learning Opportunities: Leveraging Generative AI in Discussion Forums to Support Student Learning

Stanislav Pozdniakov, Jonathan Brazil, Oleksandra Poquet, Stephan Krusche, Santiago Berrezueta-Guzman, Shazia Sadiq, Hassan Khosravi

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments Artificial Intelligence in Education (AIED 2025)

Journal ref Artificial Intelligence in Education. AIED 2025. Lecture Notes in Computer Science, vol 15882. Springer, Cham

SAGE-HLS: Syntax-Aware AST-Guided LLM for High-Level Synthesis Code Generation

M Zafir Sadik Khan, Nowfel Mashnoor, Mohammad Akyash, Kimia Azar, Hadi Kamali

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments Accepted to the IEEE International Conference on Computer Design (ICCD 2025)

Humans are more gullible than LLMs in believing common psychological myths

Bevan Koopman, Guido Zuccon

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study

Chuanlei Li, Xu Hu, Minghui Xu, Kun Li, Yue Zhang, Xiuzhen Cheng

专题命中 RAG评测 ：retrieval augmented generation(abstract)；RAG(abstract)

AURA: A Multi-Agent Intelligence Framework for Knowledge-Enhanced Cyber Threat Attribution

Nanda Rani, Sandeep Kumar Shukla

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

PentestAgent: Incorporating LLM Agents to Automated Penetration Testing

Xiangmin Shen, Lingzhi Wang, Zhenyuan Li, Yan Chen, Wencheng Zhao, Dawei Sun, Jiashui Wang, Wei Ruan

专题命中 RAG评测 ：retrieval augmented generation(abstract)；RAG(abstract)

Comments 14 pages, 13 figures, AsiaCCS 2025

NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research

Ahmad M. Nazar, Mohamed Y. Selim, Daji Qiao, Hongwei Zhang

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments Accepted in International Conference on Computer Communications and Networks (ICCCN 2025)

From Course to Skill: Evaluating LLM Performance in Curricular Analytics

Zhen Xu, Xinjin Li, Yingqi Huan, Veronica Minaya, Renzhe Yu

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

Towards Mitigating API Hallucination in Code Generated by LLMs with Hierarchical Dependency Aware

Yujia Chen, Mingyu Chen, Cuiyun Gao, Zhihan Jiang, Zhongqi Li, Yuchi Ma

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments Accepted by FSE 2025 Industry Track

CXMArena: Unified Dataset to benchmark performance in realistic CXM Scenarios

Raghav Garg, Kapil Sharma, Karan Gupta

机构 * Sprinklr 纠错

专题命中 RAG评测 ：RAG(abstract)；分类 cs.IR、cs.CL、cs.AI

The Impact of Large Language Models on Task Automation in Manufacturing Services

Jochen Wulf, Juerg Meierhofer

专题命中 RAG评测 ：retrieval augmented generation(abstract)；RAG(abstract)

Comments arXiv admin note: text overlap with arXiv:2406.01407

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation

Jie Cao, Chloe Qianhui Zhao, Xian Chen, Shuman Wang, Christian Schunn, Kenneth R. Koedinger, Jionghao Lin

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments 14 pages, to be published at the 26th International Conference on Artificial Intelligence in Education (AIED '25)

Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency

Nazmus Ashrafi, Salah Bouktif, Mohammed Mediani

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

ThreMoLIA: Threat Modeling of Large Language Model-Integrated Applications

Felix Viktor Jedrzejewski, Davide Fucci, Oleksandr Adamov

专题命中 RAG评测 ：retrieval augmented generation(abstract)；RAG(abstract)

Explainable AI in Usable Privacy and Security: Challenges and Opportunities

Vincent Freiberger, Arthur Fleig, Erik Buchmann

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments Presented at the 5th CHI Workshop on Human-Centered Explainable AI (HCXAI)

eARCO: Efficient Automated Root Cause Analysis with Prompt Optimization

Drishti Goel, Raghav Magazine, Supriyo Ghosh, Akshay Nambi, Prathamesh Deshpande, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan

专题命中 RAG评测 ：retrieval augmented generation(abstract)；RAG(abstract)

TFHE-Coder: Evaluating LLM-agentic Fully Homomorphic Encryption Code Generation

Mayank Kumar, Jiaqi Xue, Mengxin Zheng, Qian Lou

专题命中 RAG评测 ：retrieval augmented generation(abstract)；RAG(abstract)

Comments 8 pages, 7 figures

Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark

Tsung-Han Wu, Giscard Biamby, Jerome Quenum, Ritwik Gupta, Joseph E. Gonzalez, Trevor Darrell, David M. Chan

专题命中 RAG评测 ：retrieval augmented generation(abstract)；RAG(abstract)

Comments Accepted to ICLR 2025; Project page: https://visual-haystacks.github.io

Large Language Models for Education: ChemTAsk -- An Open-Source Paradigm for Automated Q&A in the Graduate Classroom

Ryann M. Perez, Marie Shimogawa, Yanan Chang, Hoang Anh T. Phan, Jason G. Marmorstein, Evan S. K. Yanagawa, E. James Petersson

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments 38 pages, 3 figures, 1 table