no code implementations • EMNLP 2020 • Zhenjie Zhao, Evangelos Papalexakis, Xiaojuan Ma
Physical common sense plays an essential role in the cognition abilities of robots for human-robot interaction.
no code implementations • 24 May 2024 • Yu Fu, Wen Xiao, Jia Chen, Jiachen Li, Evangelos Papalexakis, Aichi Chien, Yue Dong
Recent studies reveal that Large Language Models (LLMs) face challenges in balancing safety with utility, particularly when processing long texts for NLP tasks like summarization and translation.
no code implementations • 27 Mar 2024 • William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos Papalexakis, Tong Zhao, Neil Shah, Yozen Liu
This work focuses on a complementary problem: recommending new users and items unseen (out-of-vocabulary, or OOV) at training time.
no code implementations • 25 Nov 2023 • Rutuja Gurav, Het Patel, Zhuocheng Shang, Ahmed Eldawy, Jia Chen, Elia Scudiero, Evangelos Papalexakis
This paper attempts to highlight a use-case of state-of-the-art image segmentation models like SAM for crop-type mapping and related specific needs of the agriculture industry, offering a potential avenue for automatic, efficient, and cost-effective data products for precision agriculture practices.
no code implementations • IJCNLP 2019 • Zhenjie Zhao, Andrew Cattle, Evangelos Papalexakis, Xiaojuan Ma
We propose a novel tensor embedding method that can effectively extract lexical features for humor recognition.
no code implementations • 4 Dec 2017 • Evangelos Papalexakis, Konstantinos Pelechrinis
For example, shot charts, that is, maps capturing locations of (made or missed) shots, and spatio-temporal trajectories for all the players on the court can capture information about the offensive and defensive tendencies and schemes of a team.