AAAI

Efficient Chromosome Parallelization for Precision Medicine Genomic Workflows

高效染色体并行化用于精准医疗基因组工作流

Daniel Mas Montserrat, Ray Verma, Míriam Barrabés, Francisco M. de la Vega, Carlos D. Bustamante, Alexander G. Ioannidis

AI总结 本文提出高效染色体并行化方法，通过动态调度器和静态调度器优化资源分配，减少内存溢出并提升基因组工作流执行效率。

Comments Accepted at AAAI 2026

InfoCLIP: Bridging Vision-Language Pretraining and Open-Vocabulary Semantic Segmentation via Information-Theoretic Alignment Transfer

InfoCLIP: 通过信息论对齐转移连接视觉语言预训练与开放词汇语义分割

Muyao Yuan, Yuanhong Zhang, Weizhan Zhang, Lan Ma, Yuan Gao, Jiangyong Ying, Yudeng Xin

AI总结 InfoCLIP通过信息论对齐转移提升开放词汇语义分割的性能，有效解决预训练CLIP在微调过程中的过拟合问题。

Comments Accepted by AAAI 2026

AquaSentinel: Next-Generation AI System Integrating Sensor Networks for Urban Underground Water Pipeline Anomaly Detection via Collaborative MoE-LLM Agent Architecture

AquaSentinel：下一代集成传感器网络的AI系统，通过协作MoE-LLM代理架构实现城市地下供水管道异常检测

Qiming Guo, Bishal Khatri, Wenbo Sun, Jinwen Tang, Hua Zhang, Wenlu Wang

AI总结 AquaSentinel通过协作MoE-LLM代理架构实现城市地下供水管道异常检测，结合物理信息和稀疏传感技术，以低成本实现高精度的实时监测。

Comments 7 pages, 1 figure, 2 tables, Accepted to the 40th AAAI Conference on Artificial Intelligence (AAAI 2026), IAAI Deployed Applications Track

TopoReformer: Mitigating Adversarial Attacks Using Topological Purification in OCR Models

TopoReformer：利用拓扑净化缓解OCR模型中的对抗攻击

Bhagyesh Kumar, A S Aravinthakashan, Akshat Satyanarayan, Ishaan Gakhar, Ujjwal Verma

AI总结 TopoReformer通过拓扑净化技术提升OCR模型对对抗攻击的鲁棒性，无需显式梯度正则化，有效缓解扰动并保持文本结构完整性。

Comments Accepted at AAAI 2026 AI for CyberSecurity (AICS) Workshop

Disagreement is Disappearing on U.S. Cable Debate Shows

分歧正在消失于美国有线辩论节目中

S M Mehedi Zaman, Kiran Garimella

AI总结 研究发现美国有线辩论节目中的分歧呈现下降趋势，揭示节目正从真实讨论转向党派确认，加剧社会极化。

Comments Accepted at the International AAAI Conference on Web and Social Media (ICWSM 2026)

Identifying the Supply Chain of AI for Trustworthiness and Risk Management in Critical Applications

识别用于可信性和风险管理的AI供应链在关键应用中的供应链

Raymond K. Sheh, Karen Geappen

AI总结 本文提出了一种分类法，用于分类AI供应链实体，以帮助利益相关者系统评估AI供应链风险，特别是在关键应用中

Comments Presented at the 2025 AAAI Fall Symposium - AI Trustworthiness and Risk Assessment for Challenged Contexts (ATRACC)

The Publication Choice Problem

出版选择问题

Haichuan Wang, Yifan Wu, Haifeng Xu

AI总结 本文提出出版选择问题模型，分析出版选择对影响力因子的双向影响，揭示聚光灯标注对不同出版物的影响差异。

Comments Accepted by AAAI 2026 as an oral presentation

Do Not Merge My Model! Safeguarding Open-Source LLMs Against Unauthorized Model Merging

不要合并我的模型！保护开源大语言模型免受未经授权的模型合并攻击

Qinfeng Li, Miao Pan, Jintao Chen, Fu Teng, Zhiqiang Shen, Ge Su, Hao Peng, Xuhong Zhang

AI总结 MergeBarrier通过破坏线性模式连接来主动防止未经授权的模型合并，实现高安全性和低性能损失的开源大语言模型保护

Comments Accepted by AAAI 2026 Conference

TubeRMC: Tube-conditioned Reconstruction with Mutual Constraints for Weakly-supervised Spatio-Temporal Video Grounding

TubeRMC: 基于互约束的管状重建用于弱监督空间-时间视频定位

Jinxuan Li, Yi Zhang, Jian-Fang Hu, Chaolei Tan, Tianming Liang, Beihao Xia

AI总结 TubeRMC通过引入互约束的管状重建方法，在弱监督条件下提升空间-时间视频定位的准确性和一致性。

Comments Accepted to AAAI 2026

MMVA: Multimodal Matching Based on Valence and Arousal across Images, Music, and Musical Captions

MMVA: 基于估值和唤醒度的多模态匹配

Suhwan Choi, Kyu Won Kim, Myungjoo Kang

AI总结 MMVA通过多模态匹配基于估值和唤醒度，实现跨图像、音乐和音乐字幕的情感内容捕捉，并在估值-唤醒度预测任务中取得最佳性能。

Comments Paper accepted in Artificial Intelligence for Music workshop at AAAI 2025

HSKBenchmark: Modeling and Benchmarking Chinese Second Language Acquisition in Large Language Models through Curriculum Tuning

HSKBenchmark: 通过课程调优建模和评估大语言模型中的中文第二语言习得

Qihao Yang, Xuelin Wang, Jiale Chen, Xuelian Dong, Yuxin Hao, Tianyong Hao

AI总结 HSKBenchmark通过课程调优构建首个中文SLA大语言模型基准，涵盖HSK 3-6级，提供教学文本、合成指令和评估系统，验证LLMs在写作和语法上的表现。

Comments Accepted by AAAI-2026

CroPS: Improving Dense Retrieval with Cross-Perspective Positive Samples in Short-Video Search

CroPS：通过跨视角正样本提升密集检索（短视频搜索）

Ao Xie, Jiahui Chen, Quanzhi Zhu, Xiaoze Jiang, Zhiheng Qin, Enyun Yu, Han Li

机构 * Kuaishou Technology（快手科技） 纠错

AI总结 CroPS通过引入多视角正样本提升短视频检索性能，减少查询重述率，已在快手搜索部署。

Comments AAAI-2026, Oral

DEPO: Dual-Efficiency Preference Optimization for LLM Agents

DEPO：用于LLM代理的双效偏好优化

Sirui Chen, Mengshi Zhao, Lei Xu, Yuying Zhao, Beier Zhu, Hanwang Zhang, Shengjie Zhao, Chaochao Lu

AI总结 DEPO通过双效偏好优化方法提升LLM代理的效率和性能，减少token和步骤消耗，同时在多个基准测试中表现优异。

Comments Accepted to AAAI 2026

ChartEditor: A Reinforcement Learning Framework for Robust Chart Editing

Liangyu Chen, Yichen Xu, Jianzhe Ma, Yuqi Liu, Donglu Yang, Liang Zhang, Wenxuan Wang, Qin Jin

Comments Accept to AAAI 2026 Main Track

Do Large Language Models (LLMs) Understand Chronology?

Pattaraphon Kenny Wongchamcharoen, Paul Glasserman

机构 * University of California, Berkeley（加州大学伯克利分校） ； Columbia Business School（哥伦比亚大学商学院） 纠错

Comments Version 2: corrected footnote and added code repository link. Extended version of our work presented at the AAAI-26 AI4TS Workshop (poster) and AAAI-26 Student Abstract Program (oral)

MF-Speech: Achieving Fine-Grained and Compositional Control in Speech Generation via Factor Disentanglement

Xinyue Yu, Youqing Fang, Pingyu Wu, Guoyang Ye, Wenbo Zhou, Weiming Zhang, Song Xiao

Comments Accepted to AAAI 2026

S-DAG: A Subject-Based Directed Acyclic Graph for Multi-Agent Heterogeneous Reasoning

Jiangwen Dong, Zehui Lin, Wanyu Lin, Mingjin Zhang

机构 * PolyU 纠错

Comments Accepted by AAAI 2026

Core Safety Values for Provably Corrigible Agents

Aran Nayebi

机构 * Aran Nayebi（独立研究者） 纠错

Comments 14 pages. To appear in AAAI 2026 Machine Ethics Workshop (W37) Proceedings

Agent-SAMA: State-Aware Mobile Assistant

Linqiang Guo, Wei Liu, Yi Wen Heng, Tse-Hsun, Chen, Yang Wang

Comments Accepted to AAAI-26 (Main Technical Track)

Streaming Generation of Co-Speech Gestures via Accelerated Rolling Diffusion

Evgeniia Vu, Andrei Boiarov, Dmitry Vetrov

Comments Accepted at the 40th AAAI Conference on Artificial Intelligence (AAAI-26) Main Track

Intrinsic Barriers and Practical Pathways for Human-AI Alignment: An Agreement-Based Complexity Analysis

Aran Nayebi

机构 * Aran Nayebi（独立研究者） 纠错

Comments 21 pages, 1 figure, 1 table. To appear in AAAI 2026 Special Track on AI Alignment (oral)

Teaching According to Students' Aptitude: Personalized Mathematics Tutoring via Persona-, Memory-, and Forgetting-Aware LLMs

Yang Wu, Rujing Yao, Tong Zhang, Yufei Shi, Zhuoren Jiang, Zhushan Li, Xiaozhong Liu

Comments AAAI 2026 Workshop

Gaussian Blending: Rethinking Alpha Blending in 3D Gaussian Splatting

Junseo Koo, Jinseo Jeong, Gunhee Kim

Comments AAAI 2026

ProPL: Universal Semi-Supervised Ultrasound Image Segmentation via Prompt-Guided Pseudo-Labeling

Yaxiong Chen, Qicong Wang, Chunlei Li, Jingliang Hu, Yilei Shi, Shengwu Xiong, Xiao Xiang Zhu, Lichao Mou

机构 * MedAI Technology (Wuxi) Co. Ltd.（MedAI技术（无锡）有限公司） 纠错

Comments AAAI 2026

UniHOI: Unified Human-Object Interaction Understanding via Unified Token Space

Panqi Yang, Haodong Jing, Nanning Zheng, Yongqiang Ma

Comments Accepted by AAAI 2026,9 pages, 4 figures

Aligning Generative Music AI with Human Preferences: Methods and Challenges

Dorien Herremans, Abhinaba Roy

Comments Accepted at the AAAI-2026 Senior Member Track

Computer Vision Modeling of the Development of Geometric and Numerical Concepts in Humans

Zekun Wang, Sashank Varma

Comments 11 pages, 7 figures

Journal ref AAAI 2026

Intermediate N-Gramming: Deterministic and Fast N-Grams For Large N and Large Datasets

Ryan R. Curtin, Fred Lu, Edward Raff, Priyanka Ranade

Comments AAAI 2026

MergeDNA: Context-aware Genome Modeling with Dynamic Tokenization through Token Merging

Siyuan Li, Kai Yu, Anna Wang, Zicheng Liu, Chang Yu, Jingbo Zhou, Qirong Yang, Yucheng Guo, Xiaoming Zhang, Stan Z. Li

Comments AAAI 2026 (Oral Presentation) Preprint

Convex Clustering Redefined: Robust Learning with the Median of Means Estimator

Sourav De, Koustav Chowdhury, Bibhabasu Mandal, Sagar Ghosh, Swagatam Das, Debolina Paul, Saptarshi Chakraborty

机构 * Indian Statistical Institute, Kolkata（印度统计研究院，科希马） ； Department of Statistics and Data Science, University of Texas at Austin（德克萨斯大学奥斯汀分校统计与数据科学系） ； Electronics and Communication Sciences, Indian Statistical Institute, Kolkata（印度统计研究院，科希马电子与通信科学） ； Department of Statistics, University of Oxford（牛津大学统计系） ； Department of Statistics, University of Michigan（密歇根大学统计系） 纠错

Comments Accepted in AAAI 2026