KDD

PMKLC: Parallel Multi-Knowledge Learning-based Lossless Compression for Large-Scale Genomics Database

Hui Sun, Yanfeng Ding, Liping Yi, Huidong Ma, Gang Wang, Xiaoguang Liu, Cheng Zhong, Wentong Cai

Comments Accepted via KDD-25

Timing is Important: Risk-aware Fund Allocation based on Time-Series Forecasting

Fuyuan Lyu, Linfeng Du, Yunpeng Weng, Qiufang Ying, Zhiyan Xu, Wen Zou, Haolun Wu, Xiuqiang He, Xing Tang

机构 * McGill University \& MILA - Quebec AI Institute Montreal Canada ； McGill University Montreal Canada ； FiT, Tencent Shenzhen China ； College of Big Data ； Internet\ Technology University Shenzhen China ； McGill University \& MILA - Quebec AI Institute ； McGill University ； FiT, Tencent ； Internet\ Technology University 纠错

Comments Accepted by KDD 2025 ADS Track

Fine-Tune an SLM or Prompt an LLM? The Case of Generating Low-Code Workflows

Orlando Marquez Ayala, Patrice Bechard, Emily Chen, Maggie Baird, Jingfei Chen

机构 * ServiceNow 纠错

Comments 8 pages, 7 figures. Accepted to Workshop on Structured Knowledge for Large Language Models (SKnowLLM) at KDD 2025

Multi-task retriever fine-tuning for domain-specific and efficient RAG

Patrice Béchard, Orlando Marquez Ayala

机构 * ServiceNow 纠错

Comments 7 pages, 2 figures. Accepted at Workshop on Structured Knowledge for Large Language Models (SKnowLLM) at KDD 2025