Papers
Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models
Zhihong Zhu, Yunyan Zhang, Xianwei Zhuang et al.
Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems
Ruochen Jiao, Shaoyuan Xie, Justin Yue et al.
Can We Verify Step by Step for Incorrect Answer Detection?
Xin Xu, Shizhe Diao, Can Yang et al.
Can You Really Trust Code Copilot? Evaluating Large Language Models from a Code Security Perspective
Yutao Mou, Xiao Deng, Yuxiao Luo et al.
Can You Really Trust That Review? ProtoFewRoBERTa and DetectAIRev: A Prototypical Few-Shot Method and Multi-Domain Benchmark for Detecting AI-Generated Reviews
Shifali Agrahari, Sujit Kumar, Ranbir Singh Sanasam
Can You Really Trust That Review? ProtoFewRoBERTa and DetectAIRev: A Prototypical Few-Shot Method and Multi-Domain Benchmark for Detecting AI-Generated Reviews
Shifali Agrahari, Sujit Kumar, Ranbir Singh Sanasam
Can You Share Your Story? Modeling Clients’ Metacognition and Openness for LLM Therapist Evaluation
Minju Kim, Dongje Yoo, Yeonjun Hwang et al.
Can you SPLICE it together? A Human Curated Benchmark for Probing Visual Reasoning in VLMs
Mohamad Ballout, Okajevo Wilfred, Seyedalireza Yaghoubi et al.
Can You Trick the Grader? Adversarial Persuasion of LLM Judges
Yerin Hwang, Dongryeol Lee, Taegwan Kang et al.
CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation
Haoxuan Wang, Zhenghao Zhao, Junyi Wu et al.
Cap2Aug: Caption Guided Image Data Augmentation
Aniket Roy, Anshul Shah, Ketul Shah et al.
CAP4D: Creating Animatable 4D Portrait Avatars with Morphable Multi-View Diffusion Models
Felix Taubner, Ruihang Zhang, Mathieu Tuli et al.
Capability-Aware Shared Hypernetworks for Flexible Heterogeneous Multi-Robot Coordination
Kevin Fu, Shalin Jain, Pierce Howell et al.
Capability Instruction Tuning
Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
Capability Localization: Capabilities Can be Localized rather than Individual Knowledge
Xiusheng Huang, Jiaxiang Liu, Yequan Wang et al.
Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law
Qiming Ge, Shuhao Xing, Songyang Gao et al.
Capacity-Constrained Online Learning with Delays: Scheduling Frameworks and Regret Trade-offs
Alexander Ryabchenko, Idan Attias, Daniel M. Roy
Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data
Anton Changalidis, Aki Härmä
CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control
Yajie Bao, Yuyang Huo, Haojie Ren et al.
Cap-and-Penalize: Competitive Mechanisms for Multi-Phase Regularized Online Allocation
Seyedehkimia Alaviyar, Faraz Zargari, John Tyler et al.
CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era
Kanzhi Cheng, Wenpo Song, Jiaxin Fan et al.
CAPE: A Chinese Dataset for Appraisal-based Emotional Generation in Large Language Models
June M. Liu, He Cao, Renliang Sun et al.
CAPE: Connectivity-Aware Path Enforcement Loss for Curvilinear Structure Delineation
Elyar Esmaeilzadeh, Ehsan Garaaghaji, Farzad Hallaji Azad et al.
CAPE: Context-Aware Personality Evaluation Framework for Large Language Models
Jivnesh Sandhan, Fei Cheng, Tushar Sandhan et al.
Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy
Haoqi Wu, Wei Dai, Wang Li et al.