Papers
176,624 papers found
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.
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.
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.
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 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.
Curriculum Debiasing: Toward Robust Parameter-Efficient Fine-Tuning Against Dataset Biases
Mingyu Lee, Yeachan Kim, Wing-Lam Mok et al.
Curriculum Direct Preference Optimization for Diffusion and Consistency Models
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu et al.
Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction
Chaozhuo Li, Zhihao Tang, Mingji Zhang et al.
Curriculum Learning for Language-guided, Multi-modal Detection of Various Pathologies
Laurenz Adrian Heidrich, Aditya Rastogi, Priyank Upadhya et al.
Curr-ReFT: Overcoming Training Bottlenecks in Small-scale Vision-Language Models via Curriculum Reinforcement Finetuning
Huilin Deng, Ding Zou, Xinghao Zhao et al.
Curse of bilinguality: Evaluating monolingual and bilingual language models on Chinese linguistic benchmarks
Yuwen Zhou, Yevgen Matusevych
Curse of Knowledge: Your Guidance and Provided Knowledge are biasing LLM Judges in Complex Evaluation
Weiyuan Li, Xintao Wang, Siyu Yuan et al.