Cover Image

CORE: Code-based Inverse Self-Training Framework with Graph Expansion for Virtual Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Keyu, Miao, Bingchen, Bu, Wendong, Wu, Yu, Li, Juncheng, Zhang, Shengyu, Zhang, Wenqiao, Tang, Siliang, Xiao, Jun, Zhuang, Yueting
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning to Adapt: Self-Improving Web Agent via Cognitive-Aware Exploration
by: Chen, Weile, et al.
Published: (2026)

Generalist Virtual Agents: A Survey on Autonomous Agents Across Digital Platforms
by: Gao, Minghe, et al.
Published: (2024)

Robust Modality-incomplete Anomaly Detection: A Modality-instructive Framework with Benchmark
by: Miao, Bingchen, et al.
Published: (2024)

Boosting Virtual Agent Learning and Reasoning: A Step-Wise, Multi-Dimensional, and Generalist Reward Model with Benchmark
by: Miao, Bingchen, et al.
Published: (2025)

What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities
by: Bu, Wendong, et al.
Published: (2025)

Bridging Local Details and Global Context in Text-Attributed Graphs
by: Wang, Yaoke, et al.
Published: (2024)

OmniMoGen: Unifying Human Motion Generation via Learning from Interleaved Text-Motion Instructions
by: Bu, Wendong, et al.
Published: (2025)

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs
by: Fan, Zhaoyu, et al.
Published: (2025)

InstructSAM: Segment Any Instance with Any Instructions
by: Yuan, Yuqian, et al.
Published: (2026)

CrossView Suite: Harnessing Cross-view Spatial Intelligence of MLLMs with Dataset, Model and Benchmark
by: Wang, Wei, et al.
Published: (2026)

SOYO: A Tuning-Free Approach for Video Style Morphing via Style-Adaptive Interpolation in Diffusion Models
by: Zheng, Haoyu, et al.
Published: (2025)

IDEAL: Leveraging Infinite and Dynamic Characterizations of Large Language Models for Query-focused Summarization
by: Cao, Jie, et al.
Published: (2024)

DuetRAG: Collaborative Retrieval-Augmented Generation
by: Jiao, Dian, et al.
Published: (2024)

Iris: Breaking GUI Complexity with Adaptive Focus and Self-Refining
by: Ge, Zhiqi, et al.
Published: (2024)

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL
by: Pan, Kaihang, et al.
Published: (2025)

STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training
by: Qiu, Haiyi, et al.
Published: (2024)

KCM: KAN-Based Collaboration Models Enhance Pretrained Large Models
by: Dai, Guangyu, et al.
Published: (2025)

MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models
by: Cao, Jie, et al.
Published: (2025)

LASER: Tuning-Free LLM-Driven Attention Control for Efficient Text-conditioned Image-to-Animation
by: Zheng, Haoyu, et al.
Published: (2024)

InstructVid2Vid: Controllable Video Editing with Natural Language Instructions
by: Qin, Bosheng, et al.
Published: (2023)

Janus-Pro-R1: Advancing Collaborative Visual Comprehension and Generation via Reinforcement Learning
by: Pan, Kaihang, et al.
Published: (2025)

AnyMS: Bottom-up Attention Decoupling for Layout-guided and Training-free Multi-subject Customization
by: Yu, Binhe, et al.
Published: (2025)

Fast Thinking for Large Language Models
by: Zheng, Haoyu, et al.
Published: (2025)

Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness
by: Yu, Qifan, et al.
Published: (2024)

De-fine: Decomposing and Refining Visual Programs with Auto-Feedback
by: Gao, Minghe, et al.
Published: (2023)

Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions
by: Li, Juncheng, et al.
Published: (2023)

MAKIMA: Tuning-free Multi-Attribute Open-domain Video Editing via Mask-Guided Attention Modulation
by: Zheng, Haoyu, et al.
Published: (2024)

ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents
by: Tang, Fei, et al.
Published: (2026)

Enhancing Post-Training Quantization via Future Activation Awareness
by: Lv, Zheqi, et al.
Published: (2026)

SpatialFusion: Endowing Unified Image Generation with Intrinsic 3D Geometric Awareness
by: Qiu, Haiyi, et al.
Published: (2026)

Fact :Teaching MLLMs with Faithful, Concise and Transferable Rationales
by: Gao, Minghe, et al.
Published: (2024)

Chart-HQA: A Benchmark for Hypothetical Question Answering in Charts
by: Chen, Xiangnan, et al.
Published: (2025)

Meta-Reflection: A Feedback-Free Reflection Learning Framework
by: Wang, Yaoke, et al.
Published: (2024)

Align$^2$LLaVA: Cascaded Human and Large Language Model Preference Alignment for Multi-modal Instruction Curation
by: Huang, Hongzhe, et al.
Published: (2024)

Graft: Integrating the Domain Knowledge via Efficient Parameter Synergy for MLLMs
by: Dai, Yang, et al.
Published: (2025)

GMFVAD: Using Grained Multi-modal Feature to Improve Video Anomaly Detection
by: Dai, Guangyu, et al.
Published: (2025)

MAIGO: Mitigating Lost-in-Conversation with History-Cleaned On-Policy Self-Distillation
by: Zheng, Haoyu, et al.
Published: (2026)

WorldGPT: Empowering LLM as Multimodal World Model
by: Ge, Zhiqi, et al.
Published: (2024)

Logic Distillation: Learning from Code Function by Function for Decision-making Tasks
by: Chen, Dong, et al.
Published: (2024)

TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition
by: Lin, Tianwei, et al.
Published: (2024)