Imagen de Portada

Fake it till You Make it: Reward Modeling as Discriminative Prediction

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Liu, Runtao, Zhan, Jiahao, He, Yingqing, Wei, Chen, Yuille, Alan, Chen, Qifeng
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
por: Liu, Runtao, et al.
Publicado: (2024)

ModelGrow: Continual Text-to-Video Pre-training with Model Expansion and Language Understanding Enhancement
por: Rao, Zhefan, et al.
Publicado: (2024)

Latent Guard: a Safety Framework for Text-to-image Generation
por: Liu, Runtao, et al.
Publicado: (2024)

LongVideoAgent: Multi-Agent Reasoning with Long Videos
por: Liu, Runtao, et al.
Publicado: (2025)

AlignGuard: Scalable Safety Alignment for Text-to-Image Generation
por: Liu, Runtao, et al.
Publicado: (2024)

Robust-R1: Degradation-Aware Reasoning for Robust Visual Understanding
por: Tang, Jiaqi, et al.
Publicado: (2025)

Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training?
por: Zhang, Tiezheng, et al.
Publicado: (2024)

Dynamic Analysis and Adaptive Discriminator for Fake News Detection
por: Su, Xinqi, et al.
Publicado: (2024)

Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection
por: Lin, Yuzhen, et al.
Publicado: (2024)

LLMs Meet Multimodal Generation and Editing: A Survey
por: He, Yingqing, et al.
Publicado: (2024)

Shared LoRA Subspaces for almost Strict Continual Learning
por: Kaushik, Prakhar, et al.
Publicado: (2026)

The Universal Weight Subspace Hypothesis
por: Kaushik, Prakhar, et al.
Publicado: (2025)

SpA2V: Harnessing Spatial Auditory Cues for Audio-driven Spatially-aware Video Generation
por: Pham, Kien T., et al.
Publicado: (2025)

FoundObj: Self-supervised Foundation Models as Rewards for Label-free 3D Object Segmentation
por: Zhang, Zihui, et al.
Publicado: (2026)

Ancestral Mamba: Enhancing Selective Discriminant Space Model with Online Visual Prototype Learning for Efficient and Robust Discriminant Approach
por: Qin, Jiahao, et al.
Publicado: (2025)

A Bayesian Approach to OOD Robustness in Image Classification
por: Kaushik, Prakhar, et al.
Publicado: (2024)

Differences That Matter: Auditing Models for Capability Gap Discovery and Rectification
por: Liu, Qihao, et al.
Publicado: (2025)

GENFIG1: Visual Summaries of Scholarly Work as a Challenge for Vision-Language Models
por: Guan, Yaohan, et al.
Publicado: (2026)

Fake It Till You Make It: Using Synthetic Data and Domain Knowledge for Improved Text-Based Learning for LGE Detection
por: Jacob, Athira J, et al.
Publicado: (2025)

Zoom and Shift are All You Need
por: Qin, Jiahao
Publicado: (2024)

GARDO: Reinforcing Diffusion Models without Reward Hacking
por: He, Haoran, et al.
Publicado: (2025)

MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation
por: Xie, Jiahao, et al.
Publicado: (2023)

Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction
por: Wei, Yanbin, et al.
Publicado: (2025)

Can You Count to Nine? A Human Evaluation Benchmark for Counting Limits in Modern Text-to-Video Models
por: Guo, Xuyang, et al.
Publicado: (2025)

RewardFlow: Generate Images by Optimizing What You Reward
por: Susladkar, Onkar, et al.
Publicado: (2026)

Spatial457: A Diagnostic Benchmark for 6D Spatial Reasoning of Large Multimodal Models
por: Wang, Xingrui, et al.
Publicado: (2025)

The Paradigm Shift: A Comprehensive Survey on Large Vision Language Models for Multimodal Fake News Detection
por: Ai, Wei, et al.
Publicado: (2026)

Towards High-Order Mean Flow Generative Models: Feasibility, Expressivity, and Provably Efficient Criteria
por: Cao, Yang, et al.
Publicado: (2025)

Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation
por: Kaushik, Prakhar, et al.
Publicado: (2024)

Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where
por: Chin, Zhi-Yi, et al.
Publicado: (2023)

Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering
por: Wang, Xingrui, et al.
Publicado: (2024)

Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
por: Yang, Kai, et al.
Publicado: (2023)

FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning
por: Fu, Yuwei, et al.
Publicado: (2024)

Intention-aware Denoising Diffusion Model for Trajectory Prediction
por: Liu, Chen, et al.
Publicado: (2024)

Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
por: Fan, Jiajun, et al.
Publicado: (2025)

Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models
por: Lee, Jeongjae, et al.
Publicado: (2026)

Occlusion-Aware Diffusion Model for Pedestrian Intention Prediction
por: Liu, Yu, et al.
Publicado: (2025)

IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers
por: Yang, Chenglin, et al.
Publicado: (2023)

Perception-R1: Advancing Multimodal Reasoning Capabilities of MLLMs via Visual Perception Reward
por: Xiao, Tong, et al.
Publicado: (2025)

VideoRewardBench: Comprehensive Evaluation of Multimodal Reward Models for Video Understanding
por: Zhang, Zhihong, et al.
Publicado: (2025)