Papers
Accelerated Test-Time Scaling with Model-Free Speculative Sampling
Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi et al.
Accelerated training through iterative gradient propagation along the residual path
Erwan Fagnou, Paul Caillon, Blaise Delattre et al.
Accelerate Parallelizable Reasoning via Parallel Decoding within One Sequence
Yijiong Yu, Wei Wang, Ran Chen et al.
Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport
Haokai Hong, Wanyu Lin, KC Tan
Accelerating Adaptive Retrieval Augmented Generation via Instruction-Driven Representation Reduction of Retrieval Overlaps
Jie Ou, Jinyu Guo, Shuaihong Jiang et al.
Accelerating Adversarial Training on Under-Utilized GPU
Zhuoxin Zhan, Ke Wang, Pulei Xiong
Accelerating Antibiotic Discovery with Large Language Models and Knowledge Graphs
Maxime Delmas, Magdalena Wysocka, Danilo Gusicuma et al.
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
Yao Teng, Han Shi, Xian Liu et al.
Accelerating Cross-Encoders in Biomedical Entity Linking
Javier Sanz-Cruzado, Jake Lever
Accelerating Dense LLMs via L0-regularized Mixture-of-Experts
Zhenyu Zhang, Jiudong Yang, Zhaowen Tao et al.
Accelerating Design Space Exploration for LLM Training Systems with Multi-experiment Parallel Simulation
Fei Gui, Kaihui Gao, Li Chen et al.
Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Sampling
Rui Qin, Qijie Wang, Ming Sun et al.
Accelerating Diffusion Sampling via Exploiting Local Transition Coherence
Shangwen Zhu, Han Zhang, Zhantao Yang et al.
Accelerating Diffusion Transformers with Token-wise Feature Caching
Chang Zou, Xuyang Liu, Ting Liu et al.
Accelerating Diffusion Transformer via Gradient-Optimized Cache
Junxiang Qiu, Lin Liu, Shuo Wang et al.
Accelerating Diffusion Transformer via Increment-Calibrated Caching with Channel-Aware Singular Value Decomposition
Zhiyuan Chen, Keyi Li, Yifan Jia et al.
Accelerating Goal-Conditioned Reinforcement Learning Algorithms and Research
Michał Bortkiewicz, Władysław Pałucki, Vivek Myers et al.
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection
Yun Zhu, Jia-Chen Gu, Caitlin Sikora et al.
Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review
Neha Prakriya, Jui-Nan Yen, Cho-Jui Hsieh et al.
Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review
Neha Prakriya, Jui-Nan Yen, Cho-Jui Hsieh et al.
Accelerating LLM Reasoning via Early Rejection with Partial Reward Modeling
Seyyed Saeid Cheshmi, Azal Ahmad Khan, Xinran Wang et al.
Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction
Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu et al.
Accelerating neural network training: An analysis of the AlgoPerf competition
Priya Kasimbeg, Frank Schneider, Runa Eschenhagen et al.
Accelerating Neural ODEs: A Variational Formulation-based Approach
Hongjue Zhao, Yuchen Wang, Hairong Qi et al.
Accelerating optimization over the space of probability measures
Shi Chen, Qin Li, Oliver Tse et al.