Image de couverture de livre

Boosting Virtual Agent Learning and Reasoning: A Step-Wise, Multi-Dimensional, and Generalist Reward Model with Benchmark

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Miao, Bingchen, Wu, Yang, Gao, Minghe, Yu, Qifan, Bu, Wendong, Zhang, Wenqiao, Li, Yunfei, Tang, Siliang, Chua, Tat-Seng, Li, Juncheng
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Generalist Virtual Agents: A Survey on Autonomous Agents Across Digital Platforms
par: Gao, Minghe, et autres
Publié: (2024)

What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities
par: Bu, Wendong, et autres
Publié: (2025)

Learning to Adapt: Self-Improving Web Agent via Cognitive-Aware Exploration
par: Chen, Weile, et autres
Publié: (2026)

CORE: Code-based Inverse Self-Training Framework with Graph Expansion for Virtual Agents
par: Wang, Keyu, et autres
Publié: (2026)

WiseEdit: Benchmarking Cognition- and Creativity-Informed Image Editing
par: Pan, Kaihang, et autres
Publié: (2025)

Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program
par: Gao, Minghe, et autres
Publié: (2025)

STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training
par: Qiu, Haiyi, et autres
Publié: (2024)

Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions
par: Li, Juncheng, et autres
Publié: (2023)

Fact :Teaching MLLMs with Faithful, Concise and Transferable Rationales
par: Gao, Minghe, et autres
Publié: (2024)

InstructVid2Vid: Controllable Video Editing with Natural Language Instructions
par: Qin, Bosheng, et autres
Publié: (2023)

Robust Modality-incomplete Anomaly Detection: A Modality-instructive Framework with Benchmark
par: Miao, Bingchen, et autres
Publié: (2024)

Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning
par: Qian, Long, et autres
Publié: (2024)

OmniMoGen: Unifying Human Motion Generation via Learning from Interleaved Text-Motion Instructions
par: Bu, Wendong, et autres
Publié: (2025)

Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness
par: Yu, Qifan, et autres
Publié: (2024)

SOYO: A Tuning-Free Approach for Video Style Morphing via Style-Adaptive Interpolation in Diffusion Models
par: Zheng, Haoyu, et autres
Publié: (2025)

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL
par: Pan, Kaihang, et autres
Publié: (2025)

Auto-Encoding Morph-Tokens for Multimodal LLM
par: Pan, Kaihang, et autres
Publié: (2024)

Iris: Breaking GUI Complexity with Adaptive Focus and Self-Refining
par: Ge, Zhiqi, et autres
Publié: (2024)

De-fine: Decomposing and Refining Visual Programs with Auto-Feedback
par: Gao, Minghe, et autres
Publié: (2023)

Bridging Local Details and Global Context in Text-Attributed Graphs
par: Wang, Yaoke, et autres
Publié: (2024)

WEAVE: Unleashing and Benchmarking the In-context Interleaved Comprehension and Generation
par: Chow, Wei, et autres
Publié: (2025)

I3: Intent-Introspective Retrieval Conditioned on Instructions
par: Pan, Kaihang, et autres
Publié: (2023)

Janus-Pro-R1: Advancing Collaborative Visual Comprehension and Generation via Reinforcement Learning
par: Pan, Kaihang, et autres
Publié: (2025)

Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection
par: Li, Moxin, et autres
Publié: (2024)

Compose Your Aesthetics: Empowering Text-to-Image Models with the Principles of Art
par: Jin, Zhe, et autres
Publié: (2025)

On Path to Multimodal Generalist: General-Level and General-Bench
par: Fei, Hao, et autres
Publié: (2025)

LogicReward: Incentivizing LLM Reasoning via Step-Wise Logical Supervision
par: Xu, Jundong, et autres
Publié: (2025)

TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition
par: Lin, Tianwei, et autres
Publié: (2024)

Understanding Long Videos via LLM-Powered Entity Relation Graphs
par: Chu, Meng, et autres
Publié: (2025)

Learning to Ask Critical Questions for Assisting Product Search
par: Li, Zixuan, et autres
Publié: (2024)

DRAFT: Task Decoupled Latent Reasoning for Agent Safety
par: Wang, Lin, et autres
Publié: (2026)

Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking
par: Lin, Xinyu, et autres
Publié: (2026)

AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress
par: Xi, Zhiheng, et autres
Publié: (2025)

SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation
par: Qu, Leigang, et autres
Publié: (2024)

On Generative Agents in Recommendation
par: Zhang, An, et autres
Publié: (2023)

InstructSAM: Segment Any Instance with Any Instructions
par: Yuan, Yuqian, et autres
Publié: (2026)

Hello Again! LLM-powered Personalized Agent for Long-term Dialogue
par: Li, Hao, et autres
Publié: (2024)

Can I Trust Your Answer? Visually Grounded Video Question Answering
par: Xiao, Junbin, et autres
Publié: (2023)

Contrastive Pre-training for Deep Session Data Understanding
par: Li, Zixuan, et autres
Publié: (2024)

A Survey on Neural Question Generation: Methods, Applications, and Prospects
par: Guo, Shasha, et autres
Publié: (2024)