Papers
11,015 papers found
MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions
Yekun Chai, Haoran Sun, Huang Fang et al.
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers
Ao Li, Wei Fang, Hongbo Zhao et al.
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
Junjie Li, Yang Liu, Weiqing Liu et al.
Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs
Yuzhe Gu, Wenwei Zhang, Chengqi Lyu et al.
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling
Kaiwen Zheng, Yongxin Chen, Hanzi Mao et al.
Masked Temporal Interpolation Diffusion for Procedure Planning in Instructional Videos
Yufan Zhou, Zhaobo Qi, Lingshuai Lin et al.
MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer
Yuancheng Wang, Haoyue Zhan, Liwei Liu et al.
Mask in the Mirror: Implicit Sparsification
Tom Jacobs, Rebekka Burkholz
Mastering Task Arithmetic: $\tau$Jp as a Key Indicator for Weight Disentanglement
Kotaro Yoshida, Yuji Naraki, Takafumi Horie et al.
MAST: model-agnostic sparsified training
Yury Demidovich, Grigory Malinovsky, Egor Shulgin et al.
Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
Wenxuan Bao, Zhichen Zeng, Zhining Liu et al.
Matérn Kernels for Tunable Implicit Surface Reconstruction
Maximilian Weiherer, Bernhard Egger
MatExpert: Decomposing Materials Discovery By Mimicking Human Experts
Qianggang Ding, Santiago Miret, Bang Liu
MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code
Zimu Lu, Aojun Zhou, Ke Wang et al.
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
Andreas Opedal, Haruki Shirakami, Bernhard Schölkopf et al.
Matrix Product Sketching via Coordinated Sampling
Majid Daliri, Juliana Freire, Danrong Li et al.
MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection
Bokai Lin, Zihao Zeng, Zipeng Xiao et al.
Matryoshka Multimodal Models
Mu Cai, Jianwei Yang, Jianfeng Gao et al.
MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine
Renrui Zhang, Xinyu Wei, Dongzhi Jiang et al.
MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks
Carlo Abate, Filippo Maria Bianchi
Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory
Aymane El Firdoussi, Mohamed El Amine Seddik, Soufiane Hayou et al.
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
Bhavya Sukhija, Stelian Coros, Andreas Krause et al.
McEval: Massively Multilingual Code Evaluation
Linzheng Chai, Shukai Liu, Jian Yang et al.
MCNC: Manifold-Constrained Reparameterization for Neural Compression
Chayne Thrash, Reed Andreas, Ali Abbasi et al.
MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation
Trung X. Pham, Tri Ton, Chang D. Yoo