56 citations · 56 across the 4 of their papers we have counts for
6 papers
Honeycomb: Constant-Size Scene Memory Representation for Video World Models
Jack Wei Lun Shi, Kaichen Zhou, Haoyu Chen +6
Video world models require persistent scene memory to maintain consistency during long-horizon video generation. Existing spatial memories accumulate RGB observations or latent fea…
Reinforcement learning to improve large language model-based automated code compliance systems
Jack Wei Lun Shi, Minghao Dang, Wawan Solihin +2
Large language model (LLM)-based approaches for automated code compliance (ACC) of building regulations are prone to generating incorrect and hallucinated computer-processable rule…
LLM attribution analysis across different fine-tuning strategies and model scales for automated code compliance
Jack Wei Lun Shi, Minghao Dang, Wawan Solihin +1
Existing research on large language models (LLMs) for automated code compliance has primarily focused on performance, treating the models as black boxes and overlooking how trainin…
AGI-Elo: How Far Are We From Mastering A Task?
Shuo Sun, Yimin Zhao, Christina Dao Wen Lee +8
As the field progresses toward Artificial General Intelligence (AGI), there is a pressing need for more comprehensive and insightful evaluation frameworks that go beyond aggregate…
FastFlow: AI for Fast Urban Wind Velocity Prediction
Shi Jer Low, Venugopalan, S. G. Raghavan +4
Data-driven approaches, including deep learning, have shown great promise as surrogate models across many domains. These extend to various areas in sustainability. An interesting d…
Semantic localization on BIM-generated maps using a 3D LiDAR sensor
Huan Yin, Zhiyi Lin, Justin K. W. Yeoh
Conventional sensor-based localization relies on high-precision maps, which are generally built using specialized mapping techniques involving high labor and computational costs. I…