| 2026 | Leveraging Image as Compressed Visual Prompt and Hierarchical Visual Knowledge for Effective Image Utilization in MLLMs. | Shezheng Song, Kangcheng Ding, Shan Zhao, Shasha Li, Xiaopeng Li, Chengyu Wang, Qian Wan, Bin Ji, Jie Yu |
| 2026 | COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series. | Xinxin Song, Yuxiao Cheng, Tingxiong Xiao, Jinli Suo |
| 2026 | KSS-MoE: Knowledge Space Synergy Framework in Mixture of Experts for Continual Visual Instruction Tuning. | Lingyun Song, Ziyao Chen, Kang Pan, Xiaolin Han, Xinbiao Gan, Yudai Pan, Xiaofan Sun, Xiaoqi Wang, Xuequn Shang |
| 2026 | Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models. | Tianrui Song, Wen-Shuo Chao, Hao Liu |
| 2026 | Designing Incentives for Networked Multi-agent Systems. | Xinwei Song |
| 2026 | Graph-based Label-Efficient Learning: When Graph-Structured Data Meets Limited Labels. | Zixing Song |
| 2026 | Methods for Optimization Problems with Markovian Stochasticity and Non-Euclidean Geometry. | Vladimir Solodkin, Andrey Veprikov, Alexander Chernyavskiy, Aleksandr Beznosikov |
| 2026 | AnoStyler: Text-Driven Localized Anomaly Generation via Lightweight Style Transfer. | Yulim So, Seokho Kang |
| 2026 | Native Speech Processing with LLMs. | Aaron Soh |
| 2026 | Description Logics with Two Types of Definite Descriptions: Complexity, Expressiveness, and Automated Deduction. | Michal Sochanski, Przemyslaw Andrzej Walega, Michal Zawidzki |
| 2026 | T-LoRA: Single Image Diffusion Model Customization Without Overfitting. | Vera Soboleva, Aibek Alanov, Andrey Kuznetsov, Konstantin Sobolev |
| 2026 | LaFINet: Laplacian-Based Frequency Injection Network for Camouflage Object Detection (Student Abstract). | Aravinthakshan A. S., Aditya Prashant Naidu, Aadiv Rath |
| 2026 | Beyond Verdicts: Evaluating Language Model Moral Competence. | Aaron J. Snoswell, Daniel Kilov, Seth Lazar |
| 2026 | Deeper Treatment of the Bi-objective Search Framework. | Shawn Skyler, Dor Atzmon, Ariel Felner, Oren Salzman, Carlos Hernndez Ulloa, Sven Koenig |
| 2026 | Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning. | Shuzheng Si, Haozhe Zhao, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Bofei Gao, Kangyang Luo, Wenhao Li, Yufei Huang, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun |
| 2026 | Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces. | Leping Si, Meimei Yang, Hui Xue, Shipeng Zhu, Pengfei Fang |
| 2026 | SpiderGen: Towards Procedure Generation for Carbon Life Cycle Assessments with Generative AI. | Anupama Sitaraman, Bharathan Balaji, Yuvraj Agarwal |
| 2026 | Efficient Switchable Safety Control in LLMs via Magic-Token-Guided Co-Training. | Jianfeng Si, Lin Sun, Zhewen Tan, Xiangzheng Zhang |
| 2026 | MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data. | Dimitrios Sinodinos, Jack Yi Wei, Narges Armanfard |
| 2026 | Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models. | Sanchit Sinha, Guangzhi Xiong, Zhenghao He, Aidong Zhang |
| 2026 | BiCA: Effective Biomedical Dense Retrieval with Citation-Aware Hard Negatives. | Aarush Sinha, Pavan Kumar S, Roshan Balaji, Nirav Pravinbhai Bhatt |
| 2026 | Learning to Collaborate: An Orchestrated-Decentralized Framework for Peer-to-Peer LLM Federation. | Inderjeet Singh, Elonore Vissol-Gaudin, Andikan Otung, Motoyoshi Sekiya |
| 2026 | Talk, Snap, Complain: Validation-Aware Multimodal Expert Framework for Fine-Grained Customer Grievances. | Rishu Kumar Singh, Navneet Shreya, Sarmistha Das, Apoorva Singh, Sriparna Saha |
| 2026 | CRISP: Curriculum-Inducing Primitive Informed Subgoal Prediction for Boosting Hierarchical Reinforcement Learning. | Utsav Singh, Vinay P. Namboodiri |
| 2026 | Leap of FAITH from GNN-to-MLP: Fairness Aware Inference via DisTillation of GrapH Knowledge. | Vipul Kumar Singh, Jyotismita Barman, Sandeep Kumar, Tapan K. Gandhi, Jayadeva |