4 citations · 4 across the 4 of their papers we have counts for
4 papers
SeMoCo: A Semantic-First Motion Codec for Motion Language Modeling
Tianlv Huang, Hetian Guo, Ziyi Cai +6
Discrete motion representations have substantially advanced autoregressive text-to-motion generation. However, most motion tokenizers are optimized for reconstruction and do not ex…
Towards Long-Horizon Vessel Trajectory and Destination Forecasting with Reasoning Large Language Models
Hongwei Wang, Miao Zhou, Fengde Wang +10
Long-horizon maritime trajectory prediction is important for shipping management, logistics planning, and maritime risk analysis, yet month-level forecasting remains insufficiently…
FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only
He Zhu, Junyou Su, Tianle Lun +4
Instruction fine-tuning stands as a crucial advancement in leveraging large language models (LLMs) for enhanced task performance. However, the annotation of instruction datasets ha…
PlanGPT: Enhancing Urban Planning with Tailored Language Model and Efficient Retrieval
He Zhu, Wenjia Zhang, Nuoxian Huang +9
In the field of urban planning, general-purpose large language models often struggle to meet the specific needs of planners. Tasks like generating urban planning texts, retrieving…