no code implementations • 21 Feb 2025 • Xueran Han, YuHan Liu, Mingzhe Li, Wei Liu, Sen Hu, Rui Yan, Zhiqiang Xu, Xiuying Chen
Great novels create immersive worlds with rich character arcs, well-structured plots, and nuanced writing styles.
2 code implementations • 19 Feb 2024 • Xinyu Hu, Mingqi Gao, Sen Hu, Yang Zhang, Yicheng Chen, Teng Xu, Xiaojun Wan
Some prior work has shown that LLMs perform well in NLG evaluation for different tasks.
no code implementations • 27 Dec 2023 • Baokui Li, Sen Zhang, Wangshu Zhang, Yicheng Chen, Changlin Yang, Sen Hu, Teng Xu, Siye liu, Jiwei Li
To solve this problem, we propose a novel method to convert single-turn datasets to multi-turn datasets.
no code implementations • 26 Dec 2023 • Junjie Wang, Yicheng Chen, Wangshu Zhang, Sen Hu, Teng Xu, Jing Zheng
In the second stage, we distill the knowledge from the existing teacher adapters into the student adapter to help its inference.
no code implementations • 2 Dec 2023 • Qiang Li, Xiaoyan Yang, Haowen Wang, Qin Wang, Lei Liu, Junjie Wang, Yang Zhang, Mingyuan Chu, Sen Hu, Yicheng Chen, Yue Shen, Cong Fan, Wangshu Zhang, Teng Xu, Jinjie Gu, Jing Zheng, Guannan Zhang Ant Group
(3) Specifically for multi-choice questions in the medical domain, we propose a novel Verification-of-Choice approach for prompting engineering, which significantly enhances the reasoning ability of LLMs.
no code implementations • NAACL 2021 • Minhao Zhang, Ruoyu Zhang, Lei Zou, Yinnian Lin, Sen Hu
We present NAMER, an open-domain Chinese knowledge base question answering system based on a novel node-based framework that better grasps the structural mapping between questions and KB queries by aligning the nodes in a query with their corresponding mentions in question.
no code implementations • 9 Mar 2020 • Xianpei Han, Zhichun Wang, Jiangtao Zhang, Qinghua Wen, Wenqi Li, Buzhou Tang, Qi. Wang, Zhifan Feng, Yang Zhang, Yajuan Lu, Haitao Wang, Wenliang Chen, Hao Shao, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang, Kezun Zhang, Meng Wang, Yinlin Jiang, Guilin Qi, Lei Zou, Sen Hu, Minhao Zhang, Yinnian Lin
Knowledge graph models world knowledge as concepts, entities, and the relationships between them, which has been widely used in many real-world tasks.
no code implementations • EMNLP 2018 • Sen Hu, Lei Zou, Xinbo Zhang
Although natural language question answering over knowledge graphs have been studied in the literature, existing methods have some limitations in answering complex questions.