1 citations · 1 across the 6 of their papers we have counts for
6 papers
AWARe: Mitigating Catastrophic Forgetting via Activation-Weighted Adaptive REtention
Juncheng Liao, Jinfan Lv, Guoming Wang +3
Multimodal Large Language Models (MLLMs) exhibit strong generalization and reasoning abilities due to large-scale multimodal pre-training. However, fine-tuning these models on down…
SCOPE: Evolving Symbolic World for Planning in Open-Ended Environments
Yundaichuan Zhan, Minghe Gao, Zhongqi Yue +7
Recent works have explored integrating Vision-Language Models (VLMs) with classical planners that rely on symbolic representations of planning problems to generate long-horizon pla…
Learning to Adapt: Self-Improving Web Agent via Cognitive-Aware Exploration
Weile Chen, Bingchen Miao, Qifan Yu +6
Recent advances in Multimodal Large Language Models (MLLMs) have led to promising progress in web agents. However, existing web agents often rely on handcrafted execution pipelines…
WorldGPT: Empowering LLM as Multimodal World Model
Zhiqi Ge, Hongzhe Huang, Mingze Zhou +4
World models are progressively being employed across diverse fields, extending from basic environment simulation to complex scenario construction. However, existing models are main…
De-fine: Decomposing and Refining Visual Programs with Auto-Feedback
Minghe Gao, Juncheng Li, Hao Fei +7
Visual programming, a modular and generalizable paradigm, integrates different modules and Python operators to solve various vision-language tasks. Unlike end-to-end models that ne…
Improving Vision Anomaly Detection with the Guidance of Language Modality
Dong Chen, Kaihang Pan, Guoming Wang +2
Recent years have seen a surge of interest in anomaly detection for tackling industrial defect detection, event detection, etc. However, existing unsupervised anomaly detectors, pa…