Cover Image

Training Data Efficiency in Multimodal Process Reward Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Jinyuan, Huang, Chengsong, Huang, Langlin, Xu, Shaoyang, Liu, Haolin, Zhang, Wenxuan, Huang, Jiaxin
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computation and Language Multimedia
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Process Rewards with Learned Reliability
by: Li, Jinyuan, et al.
Published: (2026)

RelayLLM: Efficient Reasoning via Collaborative Decoding
by: Huang, Chengsong, et al.
Published: (2026)

Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning
by: Huang, Chengsong, et al.
Published: (2024)

Nonsense Helps: Prompt Space Perturbation Broadens Reasoning Exploration
by: Huang, Langlin, et al.
Published: (2026)

Efficient Test-Time Scaling via Self-Calibration
by: Huang, Chengsong, et al.
Published: (2025)

G-Zero: Self-Play for Open-Ended Generation from Zero Data
by: Huang, Chengsong, et al.
Published: (2026)

POSS: Position Specialist Generates Better Draft for Speculative Decoding
by: Huang, Langlin, et al.
Published: (2025)

ChemDFM-X: Towards Large Multimodal Model for Chemistry
by: Zhao, Zihan, et al.
Published: (2024)

Mixture of LoRA Experts
by: Wu, Xun, et al.
Published: (2024)

StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data
by: Pellegrain, Victor, et al.
Published: (2021)

Multimodal Large Language Models for Medicine: A Comprehensive Survey
by: Ye, Jiarui, et al.
Published: (2025)

MuPHI: Learning Implicit Multimodal Harm Reasoning via Semantically Grounded Reward Optimization
by: Saha, Anisha, et al.
Published: (2026)

Doctor Sun: A Bilingual Multimodal Large Language Model for Biomedical AI
by: Xue, Dong, et al.
Published: (2025)

ModalImmune: Immunity Driven Unlearning via Self Destructive Training
by: Fu, Rong, et al.
Published: (2026)

Dental-TriageBench: Benchmarking Multimodal Reasoning for Hierarchical Dental Triage
by: He, Ziyi, et al.
Published: (2026)

MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification
by: Shah, Siddhant Bikram, et al.
Published: (2024)

KMMMU: Evaluation of Massive Multi-discipline Multimodal Understanding in Korean Language and Context
by: Lee, Nahyun, et al.
Published: (2026)

'No' Matters: Out-of-Distribution Detection in Multimodality Long Dialogue
by: Gao, Rena, et al.
Published: (2024)

Decoding the Hook: A Multimodal LLM Framework for Analyzing the Hooking Period of Video Ads
by: Zhang, Kunpeng, et al.
Published: (2026)

Emotion Collider: Dual Hyperbolic Mirror Manifolds for Sentiment Recovery via Anti Emotion Reflection
by: Fu, Rong, et al.
Published: (2026)

K-pop Lyric Translation: Dataset, Analysis, and Neural-Modelling
by: Kim, Haven, et al.
Published: (2023)

Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes?
by: Yao, Yang, et al.
Published: (2025)

Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models
by: Ren, Jie, et al.
Published: (2024)

Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models
by: Wang, Qingni, et al.
Published: (2024)

Multimodal Sentiment Analysis Based on Causal Reasoning
by: Chen, Fuhai, et al.
Published: (2024)

Large Language Models for Computer-Aided Design: A Survey
by: Zhang, Licheng, et al.
Published: (2025)

Unified Hallucination Detection for Multimodal Large Language Models
by: Chen, Xiang, et al.
Published: (2024)

Continual Multimodal Knowledge Graph Construction
by: Chen, Xiang, et al.
Published: (2023)

Automating Steering for Safe Multimodal Large Language Models
by: Wu, Lyucheng, et al.
Published: (2025)

DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis
by: Wang, Pan, et al.
Published: (2024)

Multimodal Multi-loss Fusion Network for Sentiment Analysis
by: Wu, Zehui, et al.
Published: (2023)

Calibrating Multimodal Consensus for Emotion Recognition
by: Zhong, Guowei, et al.
Published: (2025)

mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model
by: Hu, Anwen, et al.
Published: (2023)

MUDI: A Multimodal Biomedical Dataset for Understanding Pharmacodynamic Drug-Drug Interactions
by: Ngo, Tung-Lam, et al.
Published: (2025)

MultiMedEdit: A Scenario-Aware Benchmark for Evaluating Knowledge Editing in Medical VQA
by: Wen, Shengtao, et al.
Published: (2025)

Benchmarking Large Multimodal Models against Common Corruptions
by: Zhang, Jiawei, et al.
Published: (2024)

Can We Edit Multimodal Large Language Models?
by: Cheng, Siyuan, et al.
Published: (2023)

Proactive Conversational Assistant for a Procedural Manual Task based on Audio and IMU
by: Mahfuz, Rehana, et al.
Published: (2026)

Where Do We Go from Here? Multi-scale Allocentric Relational Inference from Natural Spatial Descriptions
by: Paz-Argaman, Tzuf, et al.
Published: (2024)

CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor
by: Sun, Shuyang, et al.
Published: (2023)