most citedLarge Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review

75 citations · 79 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

AUGUstus: Autonomous Driving VLA Model with Unified Generation and Understanding

Yuqi Ye, Caigao Jiang, Zhuonan Wang +12

Vision-language-action (VLA) models show strong potential for end-to-end autonomous driving by leveraging world knowledge and understanding to excel in long-tail scenarios. However…

cs.RO2026

Sometimes You Gotta Run Before You Can Walk: Run-then-Walk Scheduling Strategy for VLM Autonomous Driving

Yuqi Ye, Shangkun Sun, Junhong Lin +6

Recent VLM-based autonomous driving planners adopt GRPO-style reinforcement learning to optimize driving performance. However, existing GRPO recipes either optimize driving efficie…

cs.RO2026

: Unified Chain of Perception-Prediction-Planning Thought via Reinforcement Fine-Tuning

Yuqi Ye, Zijian Zhang, Junhong Lin +3

Vision-language models (VLMs) are increasingly being adopted for end-to-end autonomous driving systems due to their exceptional performance in handling long-tail scenarios. However…

cs.CV2024★ 4 cited

Robust Domain Generalization for Multi-modal Object Recognition

Yuxin Qiao, Keqin Li, Junhong Lin +4

In multi-label classification, machine learning encounters the challenge of domain generalization when handling tasks with distributions differing from the training data. Existing…

cs.LG2024★ 75 cited

Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review

Jing Su, Chufeng Jiang, Xin Jin +7

This systematic literature review comprehensively examines the application of Large Language Models (LLMs) in forecasting and anomaly detection, highlighting the current state of r…