KDD

CCSBench: Evaluating Compositional Controllability in LLMs for Scientific Document Summarization

Yixi Ding, Jiaying Wu, Tongyao Zhu, Yanxia Qin, Qian Liu, Min-Yen Kan

机构 * National University of Singapore（新加坡国立大学） ； Singapore University of Technology and Design（新加坡科技设计大学） ； Sea AI Lab（Sea AI实验室） 纠错

Comments Accepted to KDD 2025 SciSoc LLM Workshop: Large Language Models for Scientific and Societal Advances

Counterfactual Reciprocal Recommender Systems for User-to-User Matching

Kazuki Kawamura, Takuma Udagawa, Kei Tateno

机构 * Sony Group Corporation（索尼集团） 纠错

Comments 9 pages, 2 figures. Accepted for publication at the Workshop on Two-sided Marketplace Optimization (TSMO '25), held in conjunction with the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025), Toronto, Canada

Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements

Haoran Li, Muhao Guo, Yang Weng, Hanghang Tong

机构 * Arizona State University（亚利桑那州立大学） ； University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） 纠错

Comments 14 pages, submitted to ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Mitigating Persistent Client Dropout in Asynchronous Decentralized Federated Learning

Ignacy Stępka, Nicholas Gisolfi, Kacper Trębacz, Artur Dubrawski

机构 * Carnegie Mellon University（卡内基梅隆大学） 纠错

Comments Presented on FedKDD Workshop at KDD 2025

End-to-End Personalization: Unifying Recommender Systems with Large Language Models

Danial Ebrat, Tina Aminian, Sepideh Ahmadian, Luis Rueda

机构 * University of Windsor（温莎大学） 纠错

Comments Second Workshop on Generative AI for Recommender Systems and Personalization at the ACM Conference on Knowledge Discovery and Data Mining (GenAIRecP@KDD 2025)

Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features

Sukwon Yun, Xin Liu, Yunhak Oh, Junseok Lee, Tianlong Chen, Tsuyoshi Murata, Chanyoung Park

机构 * The University of North Carolina at Chapel Hill（北卡罗来纳大学教堂山分校） ； National Institute of Advanced Industrial Science（国家先进工业科学研究院） ； Institute of Science Tokyo（东京科学研究院） 纠错

Comments KDD 2025

Explaining GNN Explanations with Edge Gradients

Jesse He, Akbar Rafiey, Gal Mishne, Yusu Wang

机构 * Halıcıoğlu Data Science Institute（哈尔奇奥格卢数据科学研究所） ； Universiy of California, San Diego（加州大学圣地亚哥分校） ； Computer Science and Engineering（计算机科学与工程） ； New York University（纽约大学） 纠错

Comments KDD 2025

Journal ref KDD '25: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 (2025) Pages 884 - 895

FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts

Hagyeong Shin, Binoy Robin Dalal, Iwona Bialynicka-Birula, Navjot Matharu, Ryan Muir, Xingwei Yang, Samuel W. K. Wong

机构 * Cresta, University of Waterloo（Cresta，滑铁卢大学） 纠错

Comments Accepted for an oral presentation at Agentic & GenAI Evaluation KDD 2025: KDD workshop on Evaluation and Trustworthiness of Agentic and Generative AI Models

Automated Label Placement on Maps via Large Language Models

Harry Shomer, Jiejun Xu

机构 * University of Texas at Arlington（德克萨斯理工大学） ； HRL Laboratories（HRL实验室） 纠错

Comments Workshop on AI for Data Editing (AI4DE) at KDD 2025