Machine-assisted writing evaluation: Exploring pre-trained language models in analyzing argumentative moves

no code implementations • 25 Mar 2025 • Wenjuan Qin, Weiran Wang, Yuming Yang, Tao Gui

The study investigates the efficacy of pre-trained language models (PLMs) in analyzing argumentative moves in a longitudinal learner corpus.

Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution

no code implementations • 18 Feb 2024 • Nuo Xu, Jun Zhao, Can Zu, Sixian Li, Lu Chen, Zhihao Zhang, Rui Zheng, Shihan Dou, Wenjuan Qin, Tao Gui, Qi Zhang, Xuanjing Huang

To address this issue, we propose a cost-effective preference learning strategy, optimizing reward models by distinguishing between human and machine translations.

Machine Translation Translation

The Rise and Potential of Large Language Model Based Agents: A Survey

1 code implementation • 14 Sep 2023 • Zhiheng Xi, Wenxiang Chen, Xin Guo, wei he, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, Rui Zheng, Xiaoran Fan, Xiao Wang, Limao Xiong, Yuhao Zhou, Weiran Wang, Changhao Jiang, Yicheng Zou, Xiangyang Liu, Zhangyue Yin, Shihan Dou, Rongxiang Weng, Wensen Cheng, Qi Zhang, Wenjuan Qin, Yongyan Zheng, Xipeng Qiu, Xuanjing Huang, Tao Gui

Many efforts have been made to develop intelligent agents, but they mainly focus on advancement in algorithms or training strategies to enhance specific capabilities or performance on particular tasks.

Language Modeling Language Modelling +1