Papers
Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study
Yingji Zhang, Marco Valentino, Danilo Carvalho et al.
Learning to Edit Knowledge via Instruction-based Chain-of-Thought Prompting
Jinhu Fu, Yan Bai, Longzhu He et al.
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection
Li Sun, Lanxu Yang, Jiayu Tian et al.
Learning to Generate and Extract: A Multi-Agent Collaboration Framework for Zero-Shot Document-Level Event Arguments Extraction
Guangjun Zhang, Hu Zhang, Yazhou Han et al.
Learning to Generate Structured Meshes with In-Context: Toward Generalization in Mesh Generation
Jing Xiao, Xinhai Chen, Jiaming Peng et al.
Learning to Ideate for Machine Learning Engineering Agents
Yunxiang Zhang, Kang Zhou, Zhichao Xu et al.
Learning to Judge: LLMs Designing and Applying Evaluation Rubrics
Clemencia Siro, Pourya Aliannejadi, Mohammad Aliannejadi
Learning to LEAP: Efficient Dense Point Tracking by Focusing Where It Matters
Chenzhi Zhao, Wufan Wang, Bo Zhang et al.
Learning to Optimize Job Shop Scheduling Under Structural Uncertainty
Rui Zhang, Jianwei Niu, Xuefeng Liu et al.
Learning to Parse and Reconstruct: Bidirectional Modeling of Question-to-Program Mapping
Zeying Duan, Youtian Du, Yuanlin Chang et al.
Learning Topology-Aware Dynamic Associations for Robust Multi-Person Pose Estimation
Shengnan Hu, Yandong Liu, Jiangnan Liu et al.
Learning Topology-Driven Multi-Subspace Fusion for Grassmannian Deep Networks
Xuan Yu, Tianyang Xu
Learning to Rank: How GNNs Solve Max-Clique and Sparse PCA
Elad Shoham, Omri Haber, Havana Rika et al.
Learning to Select: Query-Aware Adaptive Dimension Selection for Dense Retrieval
Zhanyu Wu, Richong Zhang, Zhijie Nie
Learning to Tell Apart: Weakly Supervised Video Anomaly Detection via Disentangled Semantic Alignment
Wenti Yin, Huaxin Zhang, Xiang Wang et al.
Learning to Think on Hypergraph: HyperCoT for Structure-Guided N-ary Knowledge Graph Completion
Mengxue Yang, Jinming Li, Chun Yang et al.
Learning to Use AI for Learning: Teaching Responsible Use of AI Chatbot to K-12 Students Through an AI Literacy Module
Ruiwei Xiao, Xinying Hou, Ying-Jui Tseng et al.
Learning Uncertainty from Sequential Internal Dispersion in Large Language Models
Ponhvoan Srey, Xiaobao Wu, Cong-Duy T Nguyen et al.
Learning Underwater Image Enhancement Iteratively Without Reference Images
Yi Tang, Hiroshi Kawasaki, Takafumi Iwaguchi et al.
Learning Unified Spatio-temporal Representations for Efficient Compressed Video Understanding
Shristi Das Biswas, Efstathia Soufleri, Arani Roy et al.
Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
Xinhang Ma, Junlin Wu, Hussein Sibai et al.
Learning What Matters: Dynamic Dimension Selection and Aggregation for Interpretable Vision-Language Reward Modeling
Qiyuan Chen, Hongsen Huang, Jiahe Chen et al.
Learning What to Ignore: Mitigating Negative Transfer in Medical Knowledge Fusion via Clinical Task-Adaptive Selection
Xinyan Deng, Shoubin Dong, Xiaorou Zheng