Cover Image

Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Hao, Yang, Xue, Wang, Zhaokai, Zhu, Xizhou, Zhou, Jie, Qiao, Yu, Wang, Xiaogang, Li, Hongsheng, Lu, Lewei, Dai, Jifeng
Format:	Preprint
Published:	2023
Subjects:	Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding
by: Li, Hao, et al.
Published: (2024)

Parameter-Inverted Image Pyramid Networks
by: Zhu, Xizhou, et al.
Published: (2024)

Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training
by: Luo, Gen, et al.
Published: (2024)

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding
by: Wang, Zhaokai, et al.
Published: (2025)

ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
by: Tian, Changyao, et al.
Published: (2023)

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models
by: Luo, Gen, et al.
Published: (2025)

VisualPRM: An Effective Process Reward Model for Multimodal Reasoning
by: Wang, Weiyun, et al.
Published: (2025)

Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures
by: Duan, Yuchen, et al.
Published: (2024)

Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization
by: Wang, Weiyun, et al.
Published: (2024)

NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints
by: Tian, Changyao, et al.
Published: (2025)

MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer
by: Tian, Changyao, et al.
Published: (2024)

Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications
by: Xiong, Yuwen, et al.
Published: (2024)

Learning 1D Causal Visual Representation with De-focus Attention Networks
by: Tao, Chenxin, et al.
Published: (2024)

PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models
by: Yang, Chenyu, et al.
Published: (2024)

Demystify Transformers & Convolutions in Modern Image Deep Networks
by: Hu, Xiaowei, et al.
Published: (2022)

DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving
by: Cui, Erfei, et al.
Published: (2023)

VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models
by: Xu, Weiye, et al.
Published: (2025)

VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks
by: Wu, Jiannan, et al.
Published: (2024)

HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding
by: Tao, Chenxin, et al.
Published: (2024)

Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning
by: Yang, Chenyu, et al.
Published: (2024)

MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity
by: Liu, Yangzhou, et al.
Published: (2024)

The All-Seeing Project V2: Towards General Relation Comprehension of the Open World
by: Wang, Weiyun, et al.
Published: (2024)

MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models
by: Meng, Fanqing, et al.
Published: (2024)

Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling
by: Wang, Jiahao, et al.
Published: (2025)

MemoryRewardBench: Benchmarking Reward Models for Long-Term Memory Management in Large Language Models
by: Tang, Zecheng, et al.
Published: (2026)

CoMemo: LVLMs Need Image Context with Image Memory
by: Liu, Shi, et al.
Published: (2025)

ZeroGUI: Automating Online GUI Learning at Zero Human Cost
by: Yang, Chenyu, et al.
Published: (2025)

Spatial Preference Rewarding for MLLMs Spatial Understanding
by: Qiu, Han, et al.
Published: (2025)

From Captions to Rewards (CAREVL): Leveraging Large Language Model Experts for Enhanced Reward Modeling in Large Vision-Language Models
by: Dai, Muzhi, et al.
Published: (2025)

RewardDance: Reward Scaling in Visual Generation
by: Wu, Jie, et al.
Published: (2025)

Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance
by: Gao, Zhangwei, et al.
Published: (2024)

Med-RewardBench: Benchmarking Reward Models and Judges for Medical Multimodal Large Language Models
by: Ding, Meidan, et al.
Published: (2025)

Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense
by: Tao, Leitian, et al.
Published: (2025)

URPO: A Unified Reward & Policy Optimization Framework for Large Language Models
by: Lu, Songshuo, et al.
Published: (2025)

LLMR: Knowledge Distillation with a Large Language Model-Induced Reward
by: Li, Dongheng, et al.
Published: (2024)

Docopilot: Improving Multimodal Models for Document-Level Understanding
by: Duan, Yuchen, et al.
Published: (2025)

Visual Embodied Brain: Let Multimodal Large Language Models See, Think, and Control in Spaces
by: Luo, Gen, et al.
Published: (2025)

Designing Rewards for Rewarding Designs: Demonstrating the Impact of Rewards on the Creative Design Process
by: Nath, Surabhi S, et al.
Published: (2026)

Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation
by: Lu, Yunhong, et al.
Published: (2025)

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models
by: Li, Lei, et al.
Published: (2024)