Papers
Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning
Jiexi Liu, Meng Cao, Songcan Chen
Beyond One-Step Distillation: Bridging the Capacity Gap in Small Language Models via Multi-Step Knowledge Transfer
Gaeun Yim, Nayoung Ko, Manasa Bharadwaj
Beyond Paired Data: Self-Supervised UAV Geo-Localization from Reference Imagery Alone
Tristan Amadei, Enric Meinhardt-Llopis, Benedicte Bascle et al.
Beyond Passive Critical Thinking: Fostering Proactive Questioning to Enhance Human-AI Collaboration
Ante Wang, Yujie Lin, Jingyao Liu et al.
Beyond Passive Viewing: A Pilot Study of a Hybrid Learning Platform Augmenting Video Lectures with Conversational AI.
Mohammed Abraar, Raj Dandekar, Rajat Dandekar et al.
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
Mahdi Alehdaghi, Rajarshi Bhattacharya, Pourya Shamsolmoali et al.
Beyond Pedagogical Principles: Multi-Horizon Preference Optimization for Efficient Socratic Tutoring
Xin Shi, Chao Zhang, Yifan Zhu et al.
Beyond Perplexity: Let the Reader Select Retrieval Summaries via Spectrum Projection Score
Zhanghao Hu, Qinglin Zhu, Siya Qi et al.
Beyond Plain Demos: A Demo-Centric Anchoring Paradigm for In-Context Learning in Alzheimer’s Disease Detection
Puzhen Su, Haoran Yin, Miao Yongzhu et al.
Beyond Predictive Resampling: Learning Input-Agnostic Downsampling for Efficient Aligned Vision Recognition
Kai Zhao, Liting Ruan, Haoran Jiang et al.
Beyond Prompting: AI Safety Education in the Generative AI Era
Phan Xuan Tan, Eiji Kamioka, Van Nguyen
Beyond Quadratic: Linear-Time Change Detection with RWKV
Zhenyu Yang, Gensheng Pei, Tao Chen et al.
Beyond Query Memorization: Large Language Model Routing with Query Decomposition and Historical Matching
Bo Lv, Jingbo Sun, Jianwei Lv et al.
Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning
Yang Zhang, Amr Mohamed, Hadi Abdine et al.
Beyond Ranking: Fine-Grained Diagnostics and Self-Improvement for MLLMs
Mingze Xu, Zijing Zhao, Qiming Peng et al.
Beyond ReAct: A Planner-Centric Framework for Complex Tool-Augmented LLM Reasoning
Xiaolong Wei, Yuehu Dong, Xingliang Wang et al.
Beyond Realism: Learning the Art of Expressive Composition with StickerNet
Haoming Lu, David Kocharian, Humphrey Shi
Beyond Real Weights: Hypercomplex Representations for Stable Quantization
Jawad Ibn Ahad, Maisha Rahman, Amrijit Biswas et al.
Beyond Retraining: Training-Free Unknown Class Filtering for Source-Free Open Set Domain Adaptation of Vision–Language Models
Yongguang Li, Jindong Li, Qi Wang et al.
Beyond Sample-Level Feedback: Using Reference-Level Feedback to Guide Data Synthesis
Shuhaib Mehri, Xiusi Chen, Heng Ji et al.
Beyond Sampling: Self-Sorting for Long-Context Ranking
Juseon Do, Sungwoo Han, Jingun Kwon et al.
Beyond scalar losses: calibrating segmentation models via gradient vector field surgery
Laurin Lux, Alexander H. Berger, Moritz Knolle et al.
Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training
Changhao Jiang, Ming Zhang, Yifei Cao et al.
Beyond Self-Report: Bridging the Intention-Behavior Gap in Critical Thinking Assessment via Interpretable Multi-Agent System
Zekun Li, Jifan Yu, Haoxuan Li et al.
Beyond Semantic Features: Pixel-level Mapping for Generalized AI-Generated Image Detection
Chenming Zhou, Jiaan Wang, Yu Li et al.