Papers
11,951 papers found
REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments
Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman et al.
RegMix: Data Mixture as Regression for Language Model Pre-training
Qian Liu, Xiaosen Zheng, Niklas Muennighoff et al.
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF
Zhaolin Gao, Wenhao Zhan, Jonathan Daniel Chang et al.
Regret Bounds for Episodic Risk-Sensitive Linear Quadratic Regulator
Wenhao XU, Xuefeng Gao, Xuedong He
Regretful Decisions under Label Noise
Sujay Nagaraj, Yang Liu, Flavio Calmon et al.
Regret-Optimal List Replicable Bandit Learning: Matching Upper and Lower Bounds
Michael Chen, A. Pavan, N. V. Vinodchandran et al.
Regularization by Texts for Latent Diffusion Inverse Solvers
Jeongsol Kim, Geon Yeong Park, Hyungjin Chung et al.
Regularizing Energy among Training Samples for Out-of-Distribution Generalization
Yiting Chen, Qitian Wu, Junchi Yan
Regulatory DNA Sequence Design with Reinforcement Learning
Zhao Yang, Bing Su, Chuan Cao et al.
Re-Imagining Multimodal Instruction Tuning: A Representation View
Yiyang Liu, James Chenhao Liang, Ruixiang Tang et al.
Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics
Josiah C Kratz, Jacob Adamczyk
Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards
Zhaohui JIANG, Xuening Feng, Paul Weng et al.
Reinforcement learning with combinatorial actions for coupled restless bandits
Lily Xu, Bryan Wilder, Elias Boutros Khalil et al.
Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features
Daeho Um, Yoonji Lee, Jiwoong Park et al.
Relax and Merge: A Simple Yet Effective Framework for Solving Fair $k$-Means and $k$-sparse Wasserstein Barycenter Problems
Shihong Song, Guanlin Mo, Hu Ding
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
Sangmin Bae, Adam Fisch, Hrayr Harutyunyan et al.
RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
Maxwell A Xu, Jaya Narain, Gregory Darnell et al.
Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer
Ningyuan Zhang, Jie Lu, Keqiuyin Li et al.
Reliable and Diverse Evaluation of LLM Medical Knowledge Mastery
Yuxuan Zhou, Xien Liu, Chen Ning et al.
RelitLRM: Generative Relightable Radiance for Large Reconstruction Models
Tianyuan Zhang, Zhengfei Kuang, Haian Jin et al.
ReMatching Dynamic Reconstruction Flow
Sara Oblak, Despoina Paschalidou, Sanja Fidler et al.
REMEDY: Recipe Merging Dynamics in Large Vision-Language Models
Didi Zhu, Yibing Song, Tao Shen et al.
ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing
Ziteng Wang, Jun Zhu, Jianfei Chen
Remove Symmetries to Control Model Expressivity and Improve Optimization
Liu Ziyin, Yizhou Xu, Isaac L. Chuang
ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing
Shaorong Chen, Jun Xia, Jingbo Zhou et al.