Papers
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
Che Liu, Zhongwei Wan, Haozhe Wang et al.
Can MLLMs Understand the Deep Implication Behind Chinese Images?
Chenhao Zhang, Xi Feng, Yuelin Bai et al.
Can Model Uncertainty Function as a Proxy for Multiple-Choice Question Item Difficulty?
Leonidas Zotos, Hedderik van Rijn, Malvina Nissim
Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers
Yilun Zhao, Chengye Wang, Chuhan Li et al.
Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?
Shuo Chen, Zhen Han, Bailan He et al.
Can Multimodal Large Language Models Understand Spatial Relations?
Jingping Liu, Ziyan Liu, Zhedong Cen et al.
Can Multimodal LLMs See Materials Clearly? A Multimodal Benchmark on Materials Characterization
Zhengzhao Lai, Youbin Zheng, Zhenyang Cai et al.
Can Multiple Responses from an LLM Reveal the Sources of Its Uncertainty?
Yang Nan, Pengfei He, Ravi Tandon et al.
Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems?
Md Tanzib Hosain, Md Kishor Morol
Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model
Siyu Chen, Beining Wu, Miao Lu et al.
Can One Modality Model Synergize Training of Other Modality Models?
Jae-Jun Lee, Sung Whan Yoon
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 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.