activity
20242026
collaborators

7 papers

cs.CL2026

MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models

Kaixin Lan, Mu You, Tao Fang +3

Pretraining is fundamental to the development of Large Language Models (LLMs), yet the opacity of pretraining data complicates model analysis and raises ethical, legal, and fairnes…

cs.CL2026

TCM-DiffRAG: Personalized Syndrome Differentiation Reasoning Method for Traditional Chinese Medicine based on Knowledge Graph and Chain of Thought

Jianmin Li, Ying Chang, Su-Kit Tang +4

Background: Retrieval augmented generation (RAG) technology can empower large language models (LLMs) to generate more accurate, professional, and timely responses without fine tuni…

cs.RO2026

Spiking Neural-Invariant Kalman Fusion for Accurate Localization Using Low-Cost IMUs

Yaohua Liu, Qiao Xu, Binkai Ou

Low-cost inertial measurement units (IMUs) are widely utilized in mobile robot localization due to their affordability and ease of integration. However, their complex, nonlinear, a…

cs.RO2026

A brain-inspired information fusion method for enhancing robot GPS outages navigation

Yaohua Liu, Hengjun Zhang, Binkai Ou

Low-cost inertial navigation systems (INS) are prone to sensor biases and measurement noise, which lead to rapid degradation of navigation accuracy during global positioning system…

cs.RO2026

CoFreeVLA: Short-Horizon Collision-Free Dual-Arm Manipulation via Vision-Language-Action Model and Risk Estimation

Yaohua Liu, Binkai Ou, Hengjun Zhang

Vision Language Action (VLA) models enable instruction-following manipulation, yet their deployment on coordinated dual-arm platforms remains severely constrained by under-modeled…

cs.CV2025

Fine-Grained Instruction-Guided Graph Reasoning for Vision-and-Language Navigation

Yaohua Liu, Binkai Ou, Rong Fu +2

Vision and Language Navigation (VLN) requires an embodied agent to traverse complex environments by following natural language instructions, demanding accurate alignment between vi…

cs.RO2024

A Prompt-driven Task Planning Method for Multi-drones based on Large Language Model

Yaohua Liu

With the rapid development of drone technology, the application of multi-drones is becoming increasingly widespread in various fields. However, the task planning technology for mul…