Papers
CanonSwap: High-Fidelity and Consistent Video Face Swapping via Canonical Space Modulation
Xiangyang Luo, Ye Zhu, Yunfei Liu et al.
Can Out-of-Distribution Evaluations Uncover Reliance on Prediction Shortcuts? A Case Study in Question Answering
Michal Štefánik, Timothee Mickus, Michal Spiegel et al.
Can Out-of-Domain Data Help to Learn Domain-Specific Prompts for Multimodal Misinformation Detection?
Amartya Bhattacharya, Debarshi Brahma, Suraj Nagaje et al.
Can Perplexity Predict Finetuning Performance? An Investigation of Tokenization Effects on Sequential Language Models for Nepali
Nishant Luitel, Nirajan Bekoju, Anand Kumar Sah et al.
Can Post-Training Quantization Benefit from an Additional QLoRA Integration?
Xiliang Zhu, Elena Khasanova, Cheng Chen
Can Private Machine Learning Be Fair?
Joseph Rance, Filip Svoboda
Can Prompting LLMs Unlock Hate Speech Detection across Languages? A Zero-shot and Few-shot Study
Faeze Ghorbanpour, Daryna Dementieva, Alexander Fraser
Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs
Xin Gao, Ruiyi Zhang, Daniel Du et al.
Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?
Yuheng Li, Wang Panpan, Haipeng Chen
Can Retelling Have Adequate Information for Reasoning? An Enhancement Method for Imperfect Video Understanding with Large Language Model
Mingxin Li, Wenhao Wang, Hongru Ji et al.
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective
Jiawei Huang, Bingcong Li, Christoph Dann et al.
Can Role Vectors Affect LLM Behaviour?
Daniele Potertì, Andrea Seveso, Fabio Mercorio
CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning
Min Yang, Yang An, Jinliang Deng et al.
Can Stories Help LLMs Reason? Curating Information Space Through Narrative
Vahid Sadiri Javadi, Johanne Trippas, Yash Kumar Lal et al.
Can Students Beyond the Teacher? Distilling Knowledge from Teacher’s Bias
Jianhua Zhang, Yi Gao, Ruyu Liu et al.
Can Text-to-Video Generation help Video-Language Alignment?
Luca Zanella, Massimiliano Mancini, Willi Menapace et al.
Can Textual Gradient Work in Federated Learning?
Minghui Chen, Ruinan Jin, Wenlong Deng et al.
Can’t Hide Behind the API: Stealing Black-Box Commercial Embedding Models
Manveer Singh Tamber, Jasper Xian, Jimmy Lin
Can Third Parties Read Our Emotions?
Jiayi Li, Yingfan Zhou, Pranav Narayanan Venkit et al.
cantnlp@DravidianLangTech-2025: A Bag-of-Sounds Approach to Multimodal Hate Speech Detection
Sidney Wong, Andrew Li
Can Transformers Do Enumerative Geometry?
Baran Hashemi, Roderic Guigo Corominas, Alessandro Giacchetto
Can Transformers Learn Full Bayesian Inference in Context?
Arik Reuter, Tim G. J. Rudner, Vincent Fortuin et al.
Can Transformers Reason Logically? A Study in SAT Solving
Leyan Pan, Vijay Ganesh, Jacob Abernethy et al.
Can’t See the Forest for the Trees: Benchmarking Multimodal Safety Awareness for Multimodal LLMs
Wenxuan Wang, Xiaoyuan Liu, Kuiyi Gao et al.