no code implementations • EMNLP 2020 • Jiarui Yao, Haoling Qiu, Bonan Min, Nianwen Xue
We present the construction of a corpus of 500 Wikinews articles annotated with temporal dependency graphs (TDGs) that can be used to train systems to understand temporal relations in text.
1 code implementation • NAACL 2022 • Jiarui Yao, Nianwen Xue, Bonan Min
The task of modal dependency parsing aims to parse a text into its modal dependency structure, which is a representation for the factuality of events in the text.
1 code implementation • 18 Dec 2024 • Cheng Qian, Peixuan Han, Qinyu Luo, Bingxiang He, Xiusi Chen, Yuji Zhang, Hongyi Du, Jiarui Yao, Xiaocheng Yang, Denghui Zhang, Yunzhu Li, Heng Ji
Language model agents excel in long-session planning and reasoning, but existing benchmarks primarily focus on goal-oriented tasks with explicit objectives, neglecting creative adaptation in unfamiliar environments.
1 code implementation • 5 Feb 2024 • Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang
Vision-Language Models (VLMs) excel in generating textual responses from visual inputs, but their versatility raises security concerns.
no code implementations • 28 Sep 2023 • Jiarui Yao, Simon Shaolei Du
Currently, reinforcement learning (RL), especially deep RL, has received more and more attention in the research area.
1 code implementation • ACL 2021 • Jiarui Yao, Haoling Qiu, Jin Zhao, Bonan Min, Nianwen Xue
In this paper, we frame factuality assessment as a modal dependency parsing task that identifies the events and their sources, formally known as conceivers, and then determine the level of certainty that the sources are asserting with respect to the events.