Papers
Controlling Large Language Model with Latent Action
Chengxing Jia, Ziniu Li, Pengyuan Wang et al.
Controlling Multimodal LLMs via Reward-guided Decoding
Oscar Mañas, Pierluca D'Oro, Koustuv Sinha et al.
Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning
Md Yousuf Harun, Jhair Gallardo, Christopher Kanan
Controlling Out-of-Domain Gaps in LLMs for Genre Classification and Generated Text Detection
Dmitri Roussinov, Serge Sharoff, Nadezhda Puchnina
Controlling Participation in Federated Learning with Feedback
Michael Cummins, Guner Dilsad Er, Michael Muehlebach
Controlling Space and Time with Diffusion Models
Daniel Watson, Saurabh Saxena, Lala Li et al.
Controlling Underestimation Bias in Constrained Reinforcement Learning for Safe Exploration
Shiqing Gao, Jiaxin Ding, Luoyi Fu et al.
ControlMed: Adding Reasoning Control to Medical Language Model
Sung-Min Lee, Siyoon Lee, Juyeon Kim et al.
ControlMed: Adding Reasoning Control to Medical Language Model
Sung-Min Lee, Siyoon Lee, Juyeon Kim et al.
Control-oriented Clustering of Visual Latent Representation
Han Qi, Haocheng Yin, Heng Yang
ControlSpeech: Towards Simultaneous and Independent Zero-shot Speaker Cloning and Zero-shot Language Style Control
Shengpeng Ji, Qian Chen, Wen Wang et al.
ControlText: Unlocking Controllable Fonts in Multilingual Text Rendering without Font Annotations
Bowen Jiang, Yuan Yuan, Xinyi Bai et al.
ControlVLA: Few-shot Object-centric Adaptation for Pre-trained Vision-Language-Action Models
Puhao Li, Yingying Wu, Ziheng Xi et al.
Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers
Yingyu Liang, Heshan Liu, Zhenmei Shi et al.
ConvCodeWorld: Benchmarking Conversational Code Generation in Reproducible Feedback Environments
Hojae Han, seung-won hwang, Rajhans Samdani et al.
Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances
Xuefeng Gao, Lingjiong Zhu
Convergence Analysis of Federated Learning Methods Using Backward Error Analysis
Jinwoo Lim, Suhyun Kim, Soo-Mook Moon
Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity
Alessandro Montenegro, Marco Mussi, Matteo Papini et al.
Convergence and Divergence of Language Models under Different Random Seeds
Finlay Fehlauer, Kyle Mahowald, Tiago Pimentel
Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification
Hyunji Jung, Hanseul Cho, Chulhee Yun
Convergence and Sample Complexity of Natural Policy Gradient Primal-Dual Methods for Constrained MDPs
Dongsheng Ding, Kaiqing Zhang, Jiali Duan et al.
Convergence of Consistency Model with Multistep Sampling under General Data Assumptions
Yiding Chen, Yiyi Zhang, Owen Oertell et al.
Convergence of Distributed Adaptive Optimization with Local Updates
Ziheng Cheng, Margalit Glasgow
Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization
Zhangyi Liu, Feng Liu, Rui Gao et al.
Convergence of Policy Mirror Descent Beyond Compatible Function Approximation
Uri Sherman, Tomer Koren, Yishay Mansour