Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Jiang Zhuoxuan"'
Autor:
Zhang, Tianyang, Jiang, Zhuoxuan, Bai, Shengguang, Zhang, Tianrui, Lin, Lin, Liu, Yang, Ren, Jiawei
With the ever-increasing demands on Question Answering (QA) systems for IT operations and maintenance, an efficient and supervised fine-tunable framework is necessary to ensure the data security, private deployment and continuous upgrading. Although
Externí odkaz:
http://arxiv.org/abs/2410.15805
Self-correction is emerging as a promising approach to mitigate the issue of hallucination in Large Language Models (LLMs). To facilitate effective self-correction, recent research has proposed mistake detection as its initial step. However, current
Externí odkaz:
http://arxiv.org/abs/2405.06705
Currently, human-bot symbiosis dialog systems, e.g., pre- and after-sales in E-commerce, are ubiquitous, and the dialog routing component is essential to improve the overall efficiency, reduce human resource cost, and enhance user experience. Althoug
Externí odkaz:
http://arxiv.org/abs/2304.03730
Recent language generative models are mostly trained on large-scale datasets, while in some real scenarios, the training datasets are often expensive to obtain and would be small-scale. In this paper we investigate the challenging task of less-data c
Externí odkaz:
http://arxiv.org/abs/2210.04473
Scene segmentation and classification (SSC) serve as a critical step towards the field of video structuring analysis. Intuitively, jointly learning of these two tasks can promote each other by sharing common information. However, scene segmentation c
Externí odkaz:
http://arxiv.org/abs/2207.01241
In document-level event extraction (DEE) task, event arguments always scatter across sentences (across-sentence issue) and multiple events may lie in one document (multi-event issue). In this paper, we argue that the relation information of event arg
Externí odkaz:
http://arxiv.org/abs/2206.03377
Autor:
Yu, Sanshi, Jiang, Zhuoxuan, Chen, Dong-Dong, Feng, Shanshan, Li, Dongsheng, Liu, Qi, Yi, Jinfeng
Recently, a new form of online shopping becomes more and more popular, which combines live streaming with E-Commerce activity. The streamers introduce products and interact with their audiences, and hence greatly improve the performance of selling pr
Externí odkaz:
http://arxiv.org/abs/2106.03415
In end-to-end dialogue modeling and agent learning, it is important to (1) effectively learn knowledge from data, and (2) fully utilize heterogeneous information, e.g., dialogue act flow and utterances. However, the majority of existing methods canno
Externí odkaz:
http://arxiv.org/abs/1911.04088
Learning an efficient manager of dialogue agent from data with little manual intervention is important, especially for goal-oriented dialogues. However, existing methods either take too many manual efforts (e.g. reinforcement learning methods) or can
Externí odkaz:
http://arxiv.org/abs/1908.05408
In this paper, we show that the quadratic assignment problem (QAP) can be reformulated to an equivalent rank constrained doubly nonnegative (DNN) problem. Under the framework of the difference of convex functions (DC) approach, a semi-proximal DC alg
Externí odkaz:
http://arxiv.org/abs/1908.04522