ConsistentRFT: Reducing Visual Hallucinations in Flow-based Reinforcement Fine-Tuning
Fuente:
arXiv
Saved in:
| Main Authors: | Tan, Xiaofeng, Liu, Jun, Fan, Yuanting, Gao, Bin-Bin, Jiang, Xi, Chen, Xiaochen, Peng, Jinlong, Wang, Chengjie, Wang, Hongsong, Zheng, Feng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
When Policy Entropy Constraint Fails: Preserving Diversity in Flow-based RLHF via Perceptual Entropy
by: Tan, Xiaofeng, et al.
Published: (2026)
by: Tan, Xiaofeng, et al.
Published: (2026)
MotionRFT: Unified Reinforcement Fine-Tuning for Text-to-Motion Generation
by: Tan, Xiaofeng, et al.
Published: (2026)
by: Tan, Xiaofeng, et al.
Published: (2026)
Towards Fine-Grained Vision-Language Alignment for Few-Shot Anomaly Detection
by: Fan, Yuanting, et al.
Published: (2025)
by: Fan, Yuanting, et al.
Published: (2025)
Visual-RFT: Visual Reinforcement Fine-Tuning
by: Liu, Ziyu, et al.
Published: (2025)
by: Liu, Ziyu, et al.
Published: (2025)
Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning of Vision Language Models
by: Tan, Huajie, et al.
Published: (2025)
by: Tan, Huajie, et al.
Published: (2025)
RedRFT: A Light-Weight Benchmark for Reinforcement Fine-Tuning-Based Red Teaming
by: Zheng, Xiang, et al.
Published: (2025)
by: Zheng, Xiang, et al.
Published: (2025)
EasyTune: Efficient Step-Aware Fine-Tuning for Diffusion-Based Motion Generation
by: Tan, Xiaofeng, et al.
Published: (2026)
by: Tan, Xiaofeng, et al.
Published: (2026)
SoRFT: Issue Resolving with Subtask-oriented Reinforced Fine-Tuning
by: Ma, Zexiong, et al.
Published: (2025)
by: Ma, Zexiong, et al.
Published: (2025)
Large-Scale Universal Defect Generation: Foundation Models and Datasets
by: Fan, Yuanting, et al.
Published: (2026)
by: Fan, Yuanting, et al.
Published: (2026)
DRL: Discriminative Representation Learning with Parallel Adapters for Class Incremental Learning
by: Zhan, Jiawei, et al.
Published: (2025)
by: Zhan, Jiawei, et al.
Published: (2025)
WorldRFT: Latent World Model Planning with Reinforcement Fine-Tuning for Autonomous Driving
by: Yang, Pengxuan, et al.
Published: (2025)
by: Yang, Pengxuan, et al.
Published: (2025)
VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning
by: Wang, Qi, et al.
Published: (2025)
by: Wang, Qi, et al.
Published: (2025)
Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning
by: Liu, Jian, et al.
Published: (2025)
by: Liu, Jian, et al.
Published: (2025)
OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning
by: Zhang, Yuxiang, et al.
Published: (2024)
by: Zhang, Yuxiang, et al.
Published: (2024)
Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning
by: Zhan, Jiawei, et al.
Published: (2024)
by: Zhan, Jiawei, et al.
Published: (2024)
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
by: Lv, Qitan, et al.
Published: (2024)
by: Lv, Qitan, et al.
Published: (2024)
PlannerRFT: Reinforcing Diffusion Planners through Closed-Loop and Sample-Efficient Fine-Tuning
by: Li, Hongchen, et al.
Published: (2026)
by: Li, Hongchen, et al.
Published: (2026)
One Language-Free Foundation Model Is Enough for Universal Vision Anomaly Detection
by: Gao, Bin-Bin, et al.
Published: (2026)
by: Gao, Bin-Bin, et al.
Published: (2026)
Pose-RFT: Enhancing MLLMs for 3D Pose Generation via Hybrid Action Reinforcement Fine-Tuning
by: Li, Bao, et al.
Published: (2025)
by: Li, Bao, et al.
Published: (2025)
ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy
by: Chen, Yuhui, et al.
Published: (2025)
by: Chen, Yuhui, et al.
Published: (2025)
Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models
by: Pan, Xuchen, et al.
Published: (2025)
by: Pan, Xuchen, et al.
Published: (2025)
DP-RFT: Learning to Generate Synthetic Text via Differentially Private Reinforcement Fine-Tuning
by: Xu, Fangyuan, et al.
Published: (2026)
by: Xu, Fangyuan, et al.
Published: (2026)
3D-RFT: Reinforcement Fine-Tuning for Video-based 3D Scene Understanding
by: Linghu, Xiongkun, et al.
Published: (2026)
by: Linghu, Xiongkun, et al.
Published: (2026)
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
by: Gao, Bin-Bin, et al.
Published: (2025)
by: Gao, Bin-Bin, et al.
Published: (2025)
PointRFT: Explicit Reinforcement Fine-tuning for Point Cloud Few-shot Learning
by: Wang, Yankai, et al.
Published: (2026)
by: Wang, Yankai, et al.
Published: (2026)
Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement Finetuning
by: Ni, Minheng, et al.
Published: (2025)
by: Ni, Minheng, et al.
Published: (2025)
Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception
by: He, Junwen, et al.
Published: (2024)
by: He, Junwen, et al.
Published: (2024)
CO-RFT: Efficient Fine-Tuning of Vision-Language-Action Models through Chunked Offline Reinforcement Learning
by: Huang, Dongchi, et al.
Published: (2025)
by: Huang, Dongchi, et al.
Published: (2025)
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection
by: Tan, Xiaofeng, et al.
Published: (2024)
by: Tan, Xiaofeng, et al.
Published: (2024)
Clustered-patch Element Connection for Few-shot Learning
by: Lai, Jinxiang, et al.
Published: (2023)
by: Lai, Jinxiang, et al.
Published: (2023)
VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators
by: Li, Hengtao, et al.
Published: (2025)
by: Li, Hengtao, et al.
Published: (2025)
AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context Comparison
by: Jiang, Xi, et al.
Published: (2026)
by: Jiang, Xi, et al.
Published: (2026)
SoPo: Text-to-Motion Generation Using Semi-Online Preference Optimization
by: Tan, Xiaofeng, et al.
Published: (2024)
by: Tan, Xiaofeng, et al.
Published: (2024)
ReAlign: Bilingual Text-to-Motion Generation via Step-Aware Reward-Guided Alignment
by: Weng, Wanjiang, et al.
Published: (2025)
by: Weng, Wanjiang, et al.
Published: (2025)
Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
by: Gui, Guan, et al.
Published: (2025)
by: Gui, Guan, et al.
Published: (2025)
Visual Agentic Reinforcement Fine-Tuning
by: Liu, Ziyu, et al.
Published: (2025)
by: Liu, Ziyu, et al.
Published: (2025)
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
by: Wang, Chengjie, et al.
Published: (2024)
by: Wang, Chengjie, et al.
Published: (2024)
Finetune-RAG: Fine-Tuning Language Models to Resist Hallucination in Retrieval-Augmented Generation
by: Lee, Zhan Peng, et al.
Published: (2025)
by: Lee, Zhan Peng, et al.
Published: (2025)
Tuning-Free Image Customization with Image and Text Guidance
by: Li, Pengzhi, et al.
Published: (2024)
by: Li, Pengzhi, et al.
Published: (2024)
On the Suitability of Reinforcement Fine-Tuning to Visual Tasks
by: Chen, Xiaxu, et al.
Published: (2025)
by: Chen, Xiaxu, et al.
Published: (2025)
Similar Items
-
When Policy Entropy Constraint Fails: Preserving Diversity in Flow-based RLHF via Perceptual Entropy
by: Tan, Xiaofeng, et al.
Published: (2026) -
MotionRFT: Unified Reinforcement Fine-Tuning for Text-to-Motion Generation
by: Tan, Xiaofeng, et al.
Published: (2026) -
Towards Fine-Grained Vision-Language Alignment for Few-Shot Anomaly Detection
by: Fan, Yuanting, et al.
Published: (2025) -
Visual-RFT: Visual Reinforcement Fine-Tuning
by: Liu, Ziyu, et al.
Published: (2025) -
Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning of Vision Language Models
by: Tan, Huajie, et al.
Published: (2025)