Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image
Fuente:
arXiv
Saved in:
| Main Authors: | Hu, Yushi, Askari-Hemmat, Reyhane, Hall, Melissa, Dinan, Emily, Zettlemoyer, Luke, Ghazvininejad, Marjan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models
by: Yasunaga, Michihiro, et al.
Published: (2025)
by: Yasunaga, Michihiro, et al.
Published: (2025)
Unified Text-Image Generation with Weakness-Targeted Post-Training
by: Chen, Jiahui, et al.
Published: (2026)
by: Chen, Jiahui, et al.
Published: (2026)
Multi-Modal Language Models as Text-to-Image Model Evaluators
by: Chen, Jiahui, et al.
Published: (2025)
by: Chen, Jiahui, et al.
Published: (2025)
Med-RewardBench: Benchmarking Reward Models and Judges for Medical Multimodal Large Language Models
by: Ding, Meidan, et al.
Published: (2025)
by: Ding, Meidan, et al.
Published: (2025)
GenEval 2: Addressing Benchmark Drift in Text-to-Image Evaluation
by: Kamath, Amita, et al.
Published: (2025)
by: Kamath, Amita, et al.
Published: (2025)
RewardBench 2: Advancing Reward Model Evaluation
by: Malik, Saumya, et al.
Published: (2025)
by: Malik, Saumya, et al.
Published: (2025)
VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models
by: Li, Lei, et al.
Published: (2024)
by: Li, Lei, et al.
Published: (2024)
TV2TV: A Unified Framework for Interleaved Language and Video Generation
by: Han, Xiaochuang, et al.
Published: (2025)
by: Han, Xiaochuang, et al.
Published: (2025)
Long-form RewardBench: Evaluating Reward Models for Long-form Generation
by: Huang, Hui, et al.
Published: (2026)
by: Huang, Hui, et al.
Published: (2026)
M-RewardBench: Evaluating Reward Models in Multilingual Settings
by: Gureja, Srishti, et al.
Published: (2024)
by: Gureja, Srishti, et al.
Published: (2024)
Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization
by: Ma, Qiyao, et al.
Published: (2026)
by: Ma, Qiyao, et al.
Published: (2026)
IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation
by: Wen, Bosi, et al.
Published: (2026)
by: Wen, Bosi, et al.
Published: (2026)
Explainable AI-Generated Image Detection RewardBench
by: Yang, Michael, et al.
Published: (2025)
by: Yang, Michael, et al.
Published: (2025)
reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs
by: Wu, Zhaofeng, et al.
Published: (2025)
by: Wu, Zhaofeng, et al.
Published: (2025)
Improving the Physics of Video Generation with VJEPA-2 Reward Signal
by: Yuan, Jianhao, et al.
Published: (2025)
by: Yuan, Jianhao, et al.
Published: (2025)
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
by: Jin, Zhuoran, et al.
Published: (2024)
by: Jin, Zhuoran, et al.
Published: (2024)
Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance
by: Hemmat, Reyhane Askari, et al.
Published: (2024)
by: Hemmat, Reyhane Askari, et al.
Published: (2024)
Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences
by: Jin, Zhuoran, et al.
Published: (2025)
by: Jin, Zhuoran, et al.
Published: (2025)
Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents
by: Men, Tianyi, et al.
Published: (2025)
by: Men, Tianyi, et al.
Published: (2025)
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
by: Chen, Zhaorun, et al.
Published: (2024)
by: Chen, Zhaorun, et al.
Published: (2024)
JPEG-LM: LLMs as Image Generators with Canonical Codec Representations
by: Han, Xiaochuang, et al.
Published: (2024)
by: Han, Xiaochuang, et al.
Published: (2024)
Increasing the Utility of Synthetic Images through Chamfer Guidance
by: Dall'Asen, Nicola, et al.
Published: (2025)
by: Dall'Asen, Nicola, et al.
Published: (2025)
Multimodal LLMs as Customized Reward Models for Text-to-Image Generation
by: Zhou, Shijie, et al.
Published: (2025)
by: Zhou, Shijie, et al.
Published: (2025)
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models
by: Hu, Yushi, et al.
Published: (2024)
by: Hu, Yushi, et al.
Published: (2024)
Holistic Evaluation for Interleaved Text-and-Image Generation
by: Liu, Minqian, et al.
Published: (2024)
by: Liu, Minqian, et al.
Published: (2024)
Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment
by: Chen, Dongping, et al.
Published: (2024)
by: Chen, Dongping, et al.
Published: (2024)
Self-Improving VLM Judges Without Human Annotations
by: Lin, Inna Wanyin, et al.
Published: (2025)
by: Lin, Inna Wanyin, et al.
Published: (2025)
R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning
by: Zhang, Yi-Fan, et al.
Published: (2025)
by: Zhang, Yi-Fan, et al.
Published: (2025)
ALMA: Alignment with Minimal Annotation
by: Yasunaga, Michihiro, et al.
Published: (2024)
by: Yasunaga, Michihiro, et al.
Published: (2024)
Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control Is Easier Than You Think
by: Chen, Liang, et al.
Published: (2025)
by: Chen, Liang, et al.
Published: (2025)
Training Language Models to Generate Text with Citations via Fine-grained Rewards
by: Huang, Chengyu, et al.
Published: (2024)
by: Huang, Chengyu, et al.
Published: (2024)
MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer
by: Tian, Changyao, et al.
Published: (2024)
by: Tian, Changyao, et al.
Published: (2024)
Towards Text-Image Interleaved Retrieval
by: Zhang, Xin, et al.
Published: (2025)
by: Zhang, Xin, et al.
Published: (2025)
ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation
by: Chern, Ethan, et al.
Published: (2024)
by: Chern, Ethan, et al.
Published: (2024)
Interleaving Reasoning for Better Text-to-Image Generation
by: Huang, Wenxuan, et al.
Published: (2025)
by: Huang, Wenxuan, et al.
Published: (2025)
VisualPRM: An Effective Process Reward Model for Multimodal Reasoning
by: Wang, Weiyun, et al.
Published: (2025)
by: Wang, Weiyun, et al.
Published: (2025)
VideoRewardBench: Comprehensive Evaluation of Multimodal Reward Models for Video Understanding
by: Zhang, Zhihong, et al.
Published: (2025)
by: Zhang, Zhihong, et al.
Published: (2025)
EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing
by: Wu, Keming, et al.
Published: (2025)
by: Wu, Keming, et al.
Published: (2025)
FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs
by: Chen, Qian, et al.
Published: (2026)
by: Chen, Qian, et al.
Published: (2026)
OmniBench: Towards The Future of Universal Omni-Language Models
by: Li, Yizhi, et al.
Published: (2024)
by: Li, Yizhi, et al.
Published: (2024)
Similar Items
-
Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models
by: Yasunaga, Michihiro, et al.
Published: (2025) -
Unified Text-Image Generation with Weakness-Targeted Post-Training
by: Chen, Jiahui, et al.
Published: (2026) -
Multi-Modal Language Models as Text-to-Image Model Evaluators
by: Chen, Jiahui, et al.
Published: (2025) -
Med-RewardBench: Benchmarking Reward Models and Judges for Medical Multimodal Large Language Models
by: Ding, Meidan, et al.
Published: (2025) -
GenEval 2: Addressing Benchmark Drift in Text-to-Image Evaluation
by: Kamath, Amita, et al.
Published: (2025)