2025 Papers
21,856 papers found • Page 5 of 438
Accelerating Large Language Model Reasoning via Speculative Search
Zhihai Wang, Jie Wang, Jilai Pan et al.
Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity
Alessandro Pierro, Steven Abreu, Jonathan Timcheck et al.
Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies
Nadav Timor, Jonathan Mamou, Daniel Korat et al.
Accelerating Model-Free Optimization via Averaging of Cost Samples
Guido Carnevale, Giuseppe Notarstefano
Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction
Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu et al.
Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings
Qiong Wu, Wenhao Lin, Yiyi Zhou 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 via Differentiable Stopping Time
Zhonglin Xie, Yiman Fong, Haoran Yuan et al.
Accelerating Parallel Diffusion Model Serving with Residual Compression
Jiajun Luo, Yicheng Xiao, Jianru Xu et al.
Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators
Ze Cheng, Zhuoyu Li, Wang Xiaoqiang et al.
Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach
Yang Xu, Vaneet Aggarwal
Accelerating RL for LLM Reasoning with Optimal Advantage Regression
Kianté Brantley, Mingyu Chen, Zhaolin Gao et al.
Accelerating Spectral Clustering under Fairness Constraints
Francesco Tonin, Alex Lambert, Johan Suykens et al.
Accelerating Task Generalisation with Multi-Level Skill Hierarchies
Thomas Cannon, Özgür Şimşek
Accelerating Training with Neuron Interaction and Nowcasting Networks
Boris Knyazev, Abhinav Moudgil, Guillaume Lajoie et al.
Accelerating Unbiased LLM Evaluation via Synthetic Feedback
Zhaoyi Zhou, Yuda Song, Andrea Zanette
Accelerating Visual-Policy Learning through Parallel Differentiable Simulation
Haoxiang You, Yilang Liu, Ian Abraham
Acceleration via silver step-size on Riemannian manifolds with applications to Wasserstein space
Jiyoung Park, Abhishek Roy, Jonathan W. Siegel et al.
Accessing Vision Foundation Models via ImageNet-1K
Yitian Zhang, Xu Ma, Yue Bai et al.
AccidentalGS: 3D Gaussian Splatting from Accidental Camera Motion
Mao Mao, Xujie Shen, Guyuan Chen et al.
Accident Anticipation via Temporal Occurrence Prediction
Tianhao Zhao, Yiyang Zou, Zihao Mao et al.
ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training
Adel Nabli, Louis Fournier, Pierre ERBACHER et al.
ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression
Botao Zhao, Xiaoyang Qu, Zuheng Kang et al.
AccuQuant: Simulating Multiple Denoising Steps for Quantizing Diffusion Models
Seunghoon Lee, Jeongwoo Choi, Byunggwan Son et al.
Accurate and Efficient Low-Rank Model Merging in Core Space
Aniello Panariello, Daniel Marczak, Simone Magistri et al.
Accurate and Efficient World Modeling with Masked Latent Transformers
Maxime Burchi, Radu Timofte
Accurate and Regret-Aware Numerical Problem Solver for Tabular Question Answering
Yuxiang Wang, Jianzhong Qi, Junhao Gan
Accurate and Scalable Graph Neural Networks via Message Invariance
Zhihao Shi, Jie Wang, Zhiwei Zhuang et al.
Accurate Differential Operators for Hybrid Neural Fields
Aditya Chetan, Guandao Yang, Zichen Wang et al.
Accurate Estimation of Feature Importance Faithfulness for Tree Models
Mateusz Gajewski, Adam Karczmarz, Mateusz Rapicki et al.
Accurate Identification of Communication Between Multiple Interacting Neural Populations
Belle Liu, Jacob I Sacks, Matthew Golub
Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference
Zijie Geng, Jie Wang, Ziqi Liu et al.
Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning
Junghun Kim, Ka Hyun Park, Hoyoung Yoon et al.
Accurately Predicting Protein Mutational Effects via a Hierarchical Many-Body Attention Network
Dahao Xu, Jiahua Rao, Mingming Zhu et al.
Accurate Nucleic Acid-Binding Residue Identification Based Domain-Adaptive Protein Language Model and Explainable Geometric Deep Learning
Wenwu Zeng, Liangrui Pan, Boya Ji et al.
Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation
Andrea Maracani, Savas Ozkan, Sijun Cho et al.
AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation
Sixiang Chen, Jiaming Liu, Siyuan Qian et al.
ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer
Zhen Han, Zeyinzi Jiang, Yulin Pan et al.
ACE: Anti-Editing Concept Erasure in Text-to-Image Models
Zihao Wang, Yuxiang Wei, Fan Li et al.
ACE-G: Improving Generalization of Scene Coordinate Regression Through Query Pre-Training
Leonard Bruns, Axel Barroso-Laguna, Tommaso Cavallari et al.
AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning
Yang Chen, Zhuolin Yang, Zihan Liu et al.
A Certified Unlearning Approach without Access to Source Data
Umit Basaran, Sk Miraj Ahmed, Amit Roy-Chowdhury et al.
ACES: Automatic Cohort Extraction System for Event-Stream Datasets
Justin Xu, Jack Gallifant, ALISTAIR JOHNSON et al.
AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play
Ran Xu, Yuchen Zhuang, Zihan Dong et al.
A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing
yu chen, Jing Lian, Zhaofei Yu et al.
A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment
Edward Chang
Achieving $\tilde{\mathcal{O}}(1/N)$ Optimality Gap in Restless Bandits through Gaussian Approximation
Chen YAN, Weina Wang, Lei Ying
Achieving Balanced Representation in School Choice with Diversity Goals
Zhaohong Sun, Makoto Yokoo
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
Zhe Li, Bicheng Ying, Zidong Liu et al.