Papers
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing
Letian Peng, Jingbo Shang
Quantifying the Gain in Weak-to-Strong Generalization
Moses Charikar, Chirag Pabbaraju, Kirankumar Shiragur
Quantitative Convergences of Lie Group Momentum Optimizers
Lingkai Kong, Molei Tao
Quantum algorithm for large-scale market equilibrium computation
Po-Wei Huang, Patrick Rebentrost
Quantum Algorithms for Non-smooth Non-convex Optimization
Chengchang Liu, Chaowen Guan, Jianhao He et al.
Quantum Deep Equilibrium Models
Philipp Schleich, Marta Skreta, Lasse B. Kristensen et al.
QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs
Saleh Ashkboos, Amirkeivan Mohtashami, Maximilian L. Croci et al.
Quasi-Bayes meets Vines
David Huk, Yuanhe Zhang, Mark Steel et al.
QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos
Sharath Girish, Tianye Li, Amrita Mazumdar et al.
Query-Based Adversarial Prompt Generation
Jonathan Hayase, Ema Borevkovic, Nicholas Carlini et al.
Query-Efficient Correlation Clustering with Noisy Oracle
Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi et al.
Questioning the Survey Responses of Large Language Models
Ricardo Dominguez-Olmedo, Moritz Hardt, Celestine Mendler-Dünner
QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization
Qi Song, Tianxiang Gong, Shiqi Gao et al.
QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation
Gonçalo R. A. Faria, Sweta Agrawal, António Farinhas et al.
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control
Atharva Mete, Haotian Xue, Albert Wilcox et al.
Queueing Matching Bandits with Preference Feedback
Jung-hun Kim, Min-hwan Oh
QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation
Huanjin Wu, Xinyu Ye, Junchi Yan
Q-VLM: Post-training Quantization for Large Vision-Language Models
Changyuan Wang, Ziwei Wang, Xiuwei Xu et al.
QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs
Mohammad Shahverdikondori, Ehsan Mokhtarian, Negar Kiyavash
R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction
Ruyi Zha, Tao Jun Lin, Yuanhao Cai et al.
RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar
Fangqiang Ding, Xiangyu Wen, Yunzhou Zhu et al.
Rad-NeRF: Ray-decoupled Training of Neural Radiance Field
Lidong Guo, Xuefei Ning, Yonggan Fu et al.
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation
Dongyu Ru, Lin Qiu, Xiangkun Hu et al.
RAGraph: A General Retrieval-Augmented Graph Learning Framework
Xinke Jiang, Rihong Qiu, Yongxin Xu et al.