Papers
21,849 papers found
A Careful Examination of Large Language Model Performance on Grade School Arithmetic
Hugh Zhang, Jeff Da, Dean Lee et al.
A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding Optimization
Chieh-Yun Chen, Chiang Tseng, Li-Wu Tsao et al.
Accelerated Regularized Learning in Finite N-Person Games
Kyriakos Lotidis, Angeliki Giannou, Panayotis Mertikopoulos et al.
Accelerating Augmentation Invariance Pretraining
Jinhong Lin, Cheng-En Wu, Yibing Wei et al.
Accelerating Blockwise Parallel Language Models with Draft Refinement
Taehyeon Kim, Ananda Theertha Suresh, Kishore Papineni et al.
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity
Haoxuan Chen, Yinuo Ren, Lexing Ying et al.
Accelerating ERM for data-driven algorithm design using output-sensitive techniques
Maria-Florina Balcan, Christopher Seiler, Dravyansh Sharma
Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling
Yiran Zhao, Wenyue Zheng, Tianle Cai et al.
Accelerating Matroid Optimization through Fast Imprecise Oracles
Franziska Eberle, Felix Hommelsheim, Alexander Lindermayr et al.
Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play
Ju Qi, Hei Falin, Feng Ting et al.
Accelerating Non-Maximum Suppression: A Graph Theory Perspective
King-Siong Si, Lu Sun, Weizhan Zhang et al.
Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight
Ziyuan Huang, Kaixiang Ji, Biao Gong et al.
Accelerating Relative Entropy Coding with Space Partitioning
Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato
Accelerating Transformers with Spectrum-Preserving Token Merging
Hoai-Chau Tran, Duy M. H. Nguyen, Duy M. Nguyen et al.
Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values
Aleksandr Lobanov, Alexander Gasnikov, Andrei Krasnov
Accuracy is Not All You Need
Abhinav Dutta, Sanjeev Krishnan, Nipun Kwatra et al.
Accurate and Steady Inertial Pose Estimation through Sequence Structure Learning and Modulation
Yinghao Wu, Chaoran Wang, Lu Yin et al.
ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models
Julien Pourcel, Cédric Colas, Gaia Molinaro et al.
ACFun: Abstract-Concrete Fusion Facial Stylization
Jiapeng Ji, Kun Wei, Ziqi Zhang et al.
Achievable distributional robustness when the robust risk is only partially identified
Julia Kostin, Nicola Gnecco, Fanny Yang
Achievable Fairness on Your Data With Utility Guarantees
Muhammad Faaiz Taufiq, Jean-François Ton, Yang Liu
Achieving $\tilde{O}(1/\epsilon)$ Sample Complexity for Constrained Markov Decision Process
Jiashuo Jiang, Yinyu Ye
Achieving Constant Regret in Linear Markov Decision Processes
Weitong Zhang, Zhiyuan Fan, Jiafan He et al.
Achieving Domain-Independent Certified Robustness via Knowledge Continuity
Alan Sun, Chiyu Ma, Kenneth Ge et al.
Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization
Ilya Kuruzov, Gesualdo Scutari, Alexander Gasnikov