Papers
CU-MAM: Coherence-Driven Unified Macro-Structures for Argument Mining
Debela Gemechu, Chris Reed
CuMPerLay: Learning Cubical Multiparameter Persistence Vectorizations
Caner Korkmaz, Brighton Nuwagira, Baris Coskunuzer et al.
CUNI-a at ArchEHR-QA 2025: Do we need Giant LLMs for Clinical QA?
Vojtech Lanz, Pavel Pecina
CUNI and Phrase at WMT25 MT Evaluation Task
Miroslav Hrabal, Ondrej Glembek, Aleš Tamchyna et al.
CUNI at WMT25 General Translation Task
Miroslav Hrabal, Josef Jon, Martin Popel et al.
CUNSB-RFIE: Context-Aware Unpaired Neural Schrodinger Bridge in Retinal Fundus Image Enhancement
Xuanzhao Dong, Vamsi Krishna Vasa, Wenhui Zhu et al.
CUPCase: Clinically Uncommon Patient Cases and Diagnoses Dataset
Oriel Perets, Ofir Ben Shoham, Nir Grinberg et al.
CUPID: Curating Data your Robot Loves with Influence Functions
Christopher Agia, Rohan Sinha, Jingyun Yang et al.
CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty
Harry Zhang, Luca Carlone
CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction
Huiqun Huang, Sihong He, Fei Miao
Curating Demonstrations using Online Experience
Annie S. Chen, Alec M. Lessing, Yuejiang Liu et al.
CurConMix: A Curriculum Contrastive Learning Framework for Enhancing Surgical Action Triplet Recognition
Yongjun Jeon, Jongmin Shin, Seonmin Park et al.
CURE: Controlled Unlearning for Robust Embeddings — Mitigating Conceptual Shortcuts in Pre-Trained Language Models
Aysenur Kocak, Shuo Yang, Bardh Prenkaj et al.
CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems
Aniket Rege, Zinnia Nie, Mahesh Ramesh et al.
CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning
Hao Cui, Zahra Shamsi, Gowoon Cheon et al.
Curiosity-Driven Reinforcement Learning from Human Feedback
Haoran Sun, Yekun Chai, Shuohuan Wang et al.
CuriousLLM: Elevating Multi-Document Question Answering with LLM-Enhanced Knowledge Graph Reasoning
Zukang Yang, Zixuan Zhu, Jennifer Zhu
CurLL: A Developmental Framework to Evaluate Continual Learning in Language Models
Pavan Kalyan Tankala, Shubhra Mishra, Satya Lokam et al.
Current Semantic-change Quantification Methods Struggle with Discovery in the Wild
Khonzoda Umarova, Lillian Lee, Laerdon Kim
Curriculum Abductive Learning for Mitigating Reasoning Shortcuts
Wen-Da Wei, Xiao-Wen Yang, Jie-Jing Shao et al.
Curriculum-aware Training for Discriminating Molecular Property Prediction Models
Hansi Yang, Quanming Yao, James Kwok
Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation
Yanda Chen, Gongwei Chen, Miao Zhang et al.
Curriculum Conditioned Diffusion for Multimodal Recommendation
Yimeng Yang, Haokai Ma, Lei Meng et al.