发表机构
The University of Queensland; The University of Melbourne（昆士兰大学; 墨尔本大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
TaxoConf利用会议特定主题分类学构建规范化多父分类学，通过特异性加权最优传输距离和二元整数规划，在满足硬性约束下实现高连贯性会议日程自动组织，在四个2025年会议基准上取得最优性能，并成功部署于SIGIR 2026。
AI 中文摘要
会议日程组织，即将录用的论文汇编成技术日程的任务，是劳动密集型的。论文必须在硬性操作约束下被分组为专题连贯的分会，而现有方法很少能同时实现这两个目标。为解决这一问题，我们提出了TaxoConf，一个围绕会议特定主题分类学来组织会议日程的系统。TaxoConf在录用论文上构建一个规范化的多父分类学，并通过其最具体主题的前沿来表示每篇论文。它从该分类学推导出论文之间的特异性加权最优传输距离，然后求解一个二元整数规划问题，该问题通过最小化分会内距离并满足所有硬性约束来将论文分配到各分会。在基于2025年四个会议构建的基准上，TaxoConf达到了最高的分会连贯性（4.62/5）和与人工策划分会最接近的一致性（NMI 0.761），同时没有违反任何约束。TaxoConf还被部署用于生成SIGIR 2026的技术日程，组织者仅做了少量修改就接受了初始输出，保留了91.8%的口头报告分配和整个海报日程，且无需纠正硬性约束违规，现场对47名参会者的调查将整体日程质量评为4.26/5。该系统可在该https URL公开获取。
英文摘要
Conference program organization, the task of assembling accepted papers into a technical program, is labor-intensive. Papers must be grouped into topically coherent sessions under hard operational constraints, and existing methods rarely achieve both at once. To address this problem, we present TaxoConf, a system that organizes conference programs around a conference-specific topic taxonomy. TaxoConf constructs a canonicalized multi-parent taxonomy over the accepted papers and represents each paper by its frontier of most specific topics. It derives a specificity-weighted optimal-transport distance between papers from this taxonomy, then solves a binary integer programming problem that assigns papers to sessions by minimizing within-session distance subject to all hard constraints. On benchmarks built from four 2025 conferences, TaxoConf attains the highest session coherence (4.62 out of 5) and the closest agreement with human-curated sessions (NMI 0.761) while incurring no constraint violations. TaxoConf has also been deployed to generate the technical program of SIGIR 2026, where the organizers accepted the initial output with only a few edits, preserving 91.8% of oral assignments and the entire poster program while requiring no correction of hard-constraint violations, and an on-site survey of 47 attendees rated the overall program quality 4.26 out of 5. The system is publicly available at https://taxoconf.com.
