All Papers

Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?

Seth Aycock, David Stap, Di Wu et al.

Can LLMs Reason Over Non-Text Modalities in a Training-Free Manner? A Case Study with In-Context Representation Learning

Tianle Zhang, Wanlong Fang, Jonathan Woo et al.

Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?

Egor Zverev, Sahar Abdelnabi, Soroush Tabesh et al.

Can LLMs Solve Longer Math Word Problems Better?

Xin Xu, Tong Xiao, Zitong Chao et al.

Can LLMs Understand Time Series Anomalies?

Zihao Zhou, Rose Yu

Can LVLMs Obtain a Driver’s License? A Benchmark Towards Reliable AGI for Autonomous Driving

Yuhang Lu, Yichen Yao, Jiadong Tu et al.

Can Machines Understand Composition? Dataset and Benchmark for Photographic Image Composition Embedding and Understanding

Zhaoran Zhao, Peng Lu, Anran Zhang et al.

Can MLLMs Absorb Math Reasoning Abilities from LLMs as Free Lunch?

Yijie Hu, Zihao Zhou, Kaizhu Huang et al.

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Yunzhuo Hao, Jiawei Gu, Huichen Wang et al.

Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance?

Apratim Bhattacharyya, Bicheng Xu, Sanjay Haresh et al.

Can NeRFs "See" without Cameras?

Chaitanya Amballa, Yu-Lin Wei, Sattwik Basu et al.

Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model

Siyu Chen, Beining Wu, Miao Lu et al.

Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs

Haoming Yang, Ke Ma, Xiaojun Jia et al.

Can One Modality Model Synergize Training of Other Modality Models?

Jae-Jun Lee, Sung Whan Yoon

Canonical Rank Adaptation: An Efficient Fine-Tuning Strategy for Vision Transformers

Lokesh Veeramacheneni, Moritz Wolter, Hilde Kuehne et al.

CanonSwap: High-Fidelity and Consistent Video Face Swapping via Canonical Space Modulation

Xiangyang Luo, Ye Zhu, Yunfei Liu et al.

Can People's Brains Synchronize during Remote AR Collaboration?

Jaehwan You, Myeongul Jung, Kwanguk Kim

Can Performant LLMs Be Ethical? Quantifying the Impact of Web Crawling Opt-Outs

Dongyang Fan, Vinko Sabolčec, Matin Ansaripour et al.

Can Private Machine Learning Be Fair?

Joseph Rance, Filip Svoboda

Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?

Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective

Jiawei Huang, Bingcong Li, Christoph Dann et al.

Can Students Beyond the Teacher? Distilling Knowledge from Teacher’s Bias

Jianhua Zhang, Yi Gao, Ruyu Liu et al.

Can Test-Time Scaling Improve World Foundation Model?

Wenyan Cong, Hanqing Zhu, Peihao Wang 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 the Perceived Capability of Your Virtual Avatar Enhance Exercise Performance?

Sen-Zhe Xu, Bosheng Huang, Zian Zhou et al.

Can Transformers Do Enumerative Geometry?

Baran Hashemi, Roderic 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 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 Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models

Eunseop Yoon, Hee Suk Yoon, Mark Hasegawa-Johnson 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 Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization Through Spare-Coding Transformer

Lei Su, Xiaochen Ma, Xuekang Zhu et al.

Can We Ignore Labels in Out of Distribution Detection?

Hong Yang, Qi Yu, Travis Desell

Can We Infer Confidential Properties of Training Data from LLMs?

Pengrun Huang, Chhavi Yadav, Kamalika Chaudhuri et al.

Can We Predict Performance of Large Models across Vision-Language Tasks?

Qinyu Zhao, Ming Xu, Kartik Gupta et al.

Can We Talk Models Into Seeing the World Differently?

Paul Gavrikov, Jovita Lukasik, Steffen Jung 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.

CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation

Haoxuan Wang, Zhenghao Zhao, Junyi Wu et al.

CAP4D: Creating Animatable 4D Portrait Avatars with Morphable Multi-View Diffusion Models

Felix Taubner, Ruihang Zhang, Mathieu Tuli et al.

CAPability: A Comprehensive Visual Caption Benchmark for Evaluating Both Correctness and Thoroughness

Zhihang Liu, Chen-Wei Xie, Bin Wen 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.

Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy

Haoqi Wu, Wei Dai, Wang Li et al.

CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models

Junho Kim, Hyungjin Chung, Byung-Hoon Kim

CAP: Evaluation of Persuasive and Creative Image Generation

Aysan Aghazadeh, Adriana Kovashka

CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation

Matan Rusanovsky, Or Hirschorn, Shai Avidan