Papers
172,654 papers found
CAG-GS: Consistent Anchor Guided Gaussian Splatting for Large-scale Scene Rendering
Shijie Xu, Qiulei Dong
CAIRE: Cultural Attribution of Images with Retrieval
Arnav Yayavaram, Siddharth Yayavaram, Simran Khanuja et al.
CALE : Concept-Aligned Embeddings for Both Within-Lemma and Inter-Lemma Sense Differentiation
Bastien Liétard, Gabriel Loiseau
CalibBEV: LiDAR-Camera Calibration via BEV Alignment
Filippo D'Addeo, Lorenzo Cipelli, Adriano Cardace et al.
Calibrating and Rotating: A Unified Framework for Weight Conditioning in PEFT
Da Chang, Peng Xue, Yu Li et al.
Calibrating Beyond English: Language Diversity for Better Quantized Multilingual LLMs
Everlyn Asiko Chimoto, Mostafa Elhoushi, Bruce Bassett
Calibrating Reliance: Addressing Misuse and Disuse in AI-Based Second-Opinion Systems for Medical Diagnosis
Federico Cabitza, Andrea Campagner, Gian Eugenio Tontini
Call, Reward, Repeat: Advancing Dialog State Tracking with GRPO and Function Calling
Timur Ionov, Anna Marshalova, Valentin Malykh
CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge
Lei Zan, Keli Zhang, Ruichu Cai et al.
CAMAR: Continuous Actions Multi-Agent Routing
Artem Pshenitsyn, Aleksandr Panov, Alexey Skrynnik
CAMERA: Multi-Matrix Joint Compression for MoE Models via Micro-Expert Redundancy Analysis
Yuzhuang Xu, Xu Han, Yuanchi Zhang et al.
CAMP-VQA: Caption-Embedded Multimodal Perception for No-Reference Quality Assessment of Compressed Video
Xinyi Wang, Angeliki Katsenou, Junxiao Shen et al.
Can Activation Steering Generalize Across Languages? A Study on Syllogistic Reasoning in Language Models
Gabriele Maraia, Leonardo Ranaldi, Marco Valentino et al.
Can Calibration of Positional Encodings Enhance Long Context Utilization?
Tom Zehle, Matthias Aßenmacher
Cancer Survival Prediction by Cyclic Generation and Multi-grained Alignment
Yongqi Bu, Qinggang Niu, Zhen Li et al.
Can ChatGPT Really Understand Modern Chinese Poetry?
Shanshan Wang, Derek F. Wong, Jingming Yao et al.
CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift
HyunGi Kim, Jisoo Mok, Hyungyu Lee et al.
Can Editing LLMs Inject Harm?
Canyu Chen, Baixiang Huang, Zekun Li et al.
Can Humans Teach Machines to Code?
Celine Hocquette, Johannes Langer, Andrew Cropper et al.
Can Image Splicing and Copy-Move Forgery Be Detected by the Same Model? Forensim: An Attention-Based State-Space Approach
Soumyaroop Nandi, Prem Natarajan
CanKD: Cross-Attention-based Non-local Operation for Feature-based Knowledge Distillation
Shizhe Sun, Wataru Ohyama
Can Large Language Models Grasp 3D Medical Anatomy Shapes? (Student Abstract)
Yao Gao, Feng Li, Jeroen Van Dessel et al.
Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?
Aishwarya Ramasethu, Rohin Garg, Niyathi Allu et al.
Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models
Tianyi Zhou, Johanne Medina, Sanjay Chawla
Can LLMs Identify Tax Abuse?
Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme