Zobrazeno 1 - 10
of 960
pro vyhledávání: '"Jiang, Hang"'
Autor:
Jiang, Hang, Zhang, Xiajie, Mahari, Robert, Kessler, Daniel, Ma, Eric, August, Tal, Li, Irene, Pentland, Alex 'Sandy', Kim, Yoon, Roy, Deb, Kabbara, Jad
Making legal knowledge accessible to non-experts is crucial for enhancing general legal literacy and encouraging civic participation in democracy. However, legal documents are often challenging to understand for people without legal backgrounds. In t
Externí odkaz:
http://arxiv.org/abs/2402.17019
Autor:
Gao, Fan, Jiang, Hang, Yang, Rui, Zeng, Qingcheng, Lu, Jinghui, Blum, Moritz, Liu, Dairui, She, Tianwei, Jiang, Yuang, Li, Irene
Publikováno v:
ACL 2024 Findings
Educational materials such as survey articles in specialized fields like computer science traditionally require tremendous expert inputs and are therefore expensive to create and update. Recently, Large Language Models (LLMs) have achieved significan
Externí odkaz:
http://arxiv.org/abs/2308.10410
Autor:
Sun, Weimin, Chen, Xudong, Wang, Jiabin, Jiang, Hang, Wang, Anzhi, Yan, Qi, Ma, Zhenyu, Wang, Shengjia, Geng, Tao, Zhong, Yue, Qu, Zhongquan, Yan, Yunxiang
Focal Ratio Degradation (FRD) in fibres is a crucial factor to control in astronomical instruments in order to minimize light loss. As astronomical instrumentation has advanced, the integration of large populations of fibres has become common. Howeve
Externí odkaz:
http://arxiv.org/abs/2306.16752
Autor:
Brannon, William, Kang, Wonjune, Fulay, Suyash, Jiang, Hang, Roy, Brandon, Roy, Deb, Kabbara, Jad
Learning on text-attributed graphs (TAGs), in which nodes are associated with one or more texts, has been the subject of much recent work. However, most approaches tend to make strong assumptions about the downstream task of interest, are reliant on
Externí odkaz:
http://arxiv.org/abs/2305.14321
Despite the many use cases for large language models (LLMs) in creating personalized chatbots, there has been limited research on evaluating the extent to which the behaviors of personalized LLMs accurately and consistently reflect specific personali
Externí odkaz:
http://arxiv.org/abs/2305.02547
Fast and efficient semantic segmentation of large-scale LiDAR point clouds is a fundamental problem in autonomous driving. To achieve this goal, the existing point-based methods mainly choose to adopt Random Sampling strategy to process large-scale p
Externí odkaz:
http://arxiv.org/abs/2209.13797
As political attitudes have diverged ideologically in the United States, political speech has diverged lingusitically. The ever-widening polarization between the US political parties is accelerated by an erosion of mutual understanding between them.
Externí odkaz:
http://arxiv.org/abs/2209.07065
Autor:
Jiang, Hang1 (AUTHOR) jhfor724@163.com, Yuan, Lifang2 (AUTHOR) ylifang1225@126.com, Ma, Liguo1 (AUTHOR) maliguo809@163.com, Qi, Kai1 (AUTHOR) qishi20080318@163.com, Zhang, Yueli1 (AUTHOR) yueligaoxing@163.com, Zhang, Bo1 (AUTHOR) zbo8341@163.com, Ma, Guoping1 (AUTHOR) maguopingapple@163.com, Qi, Junshan1 (AUTHOR) qi999@163.com
Publikováno v:
Journal of Fungi. Jun2024, Vol. 10 Issue 6, p379. 17p.
Autor:
Hua, Yining, Jiang, Hang, Lin, Shixu, Yang, Jie, Plasek, Joseph M., Bates, David W., Zhou, Li
Publikováno v:
amiajnl-2022-012337.R1
Understanding public discourse on emergency use of unproven therapeutics is crucial for monitoring safe use and combating misinformation. We developed a natural language processing-based pipeline to comprehend public perceptions of and stances on cor
Externí odkaz:
http://arxiv.org/abs/2206.14358
Social media data such as Twitter messages ("tweets") pose a particular challenge to NLP systems because of their short, noisy, and colloquial nature. Tasks such as Named Entity Recognition (NER) and syntactic parsing require highly domain-matched tr
Externí odkaz:
http://arxiv.org/abs/2201.07281