Papers
Can't Slow Me Down: Learning Robust and Hardware-Adaptive Object Detectors against Latency Attacks for Edge Devices
Tianyi Wang, Zichen Wang, Cong Wang et al.
Can Unconfident LLM Annotations Be Used for Confident Conclusions?
Kristina Gligoric, Tijana Zrnic, Cinoo Lee et al.
Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models
Eunseop Yoon, Hee Suk Yoon, Mark A. Hasegawa-Johnson et al.
Can Vision-Language Models Evaluate Handwritten Math?
Oikantik Nath, Hanani Bathina, Mohammed Safi Ur Rahman Khan et al.
Can Vision-Language Models Infer Speaker’s Ignorance? The Role of Visual and Linguistic Cues
Ye-eun Cho, Yunho Maeng
Can Vision-Language Models Solve Visual Math Equations?
Monjoy Narayan Choudhury, Junling Wang, Yifan Hou et al.
Can Vision Language Models Understand Mimed Actions?
Hyundong Justin Cho, Spencer Lin, Tejas Srinivasan et al.
Can VLMs Actually See and Read? A Survey on Modality Collapse in Vision-Language Models
Mong Yuan Sim, Wei Emma Zhang, Xiang Dai et al.
Can VLMs Recall Factual Associations From Visual References?
Dhananjay Ashok, Ashutosh Chaubey, Hirona Jacqueline Arai et al.
Can Watermarked LLMs be Identified by Users via Crafted Prompts?
Aiwei Liu, Sheng Guan, Yiming Liu et al.
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?
Michael-Andrei Panaitescu-Liess, Zora Che, Bang An et al.
Can Watermarks be Used to Detect LLM IP Infringement For Free?
Zhengyue Zhao, Xiaogeng Liu, Somesh Jha et al.
Can We Achieve Efficient Diffusion Without Self-Attention? Distilling Self-Attention into Convolutions
Ziyi Dong, Chengxing Zhou, Weijian Deng et al.
Can We Afford The Perfect Prompt? Balancing Cost and Accuracy with the Economical Prompting Index
Tyler McDonald, Anthony Colosimo, Yifeng Li et al.
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies
Chen Xu, Tony Khuong Nguyen, Emma Dixon et al.
Can We Edit LLMs for Long-Tail Biomedical Knowledge?
Xinhao Yi, Jake Lever, Kevin Bryson et al.
Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks
Xingxuan Li, Weiwen Xu, Ruochen Zhao et al.
Can We Ignore Labels in Out of Distribution Detection?
Hong Yang, Qi Yu, Travis Desell
Can We Predict Performance of Large Models across Vision-Language Tasks?
Qinyu Zhao, Ming Xu, Kartik Gupta et al.
Can we Retrieve Everything All at Once? ARM: An Alignment-Oriented LLM-based Retrieval Method
Peter Baile Chen, Yi Zhang, Mike Cafarella et al.
Can We Steer Reasoning Direction by Thinking Intervention?
Xingsheng Zhang, Luxi Xing, Chen Zhang et al.
Can We Talk Models Into Seeing the World Differently?
Paul Gavrikov, Jovita Lukasik, Steffen Jung et al.