no code implementations • 19 May 2024 • Zhongxiang Sun, Kepu Zhang, Haoyu Wang, Xiao Zhang, Jun Xu
In this paper, we propose a data compression approach to the selection of in-context examples.
1 code implementation • 4 Apr 2024 • Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang song, Hongteng Xu, Jun Xu
The model, referred to as Neural Hawkes Process-based Open-App Motivation prediction model (NHP-OAM), employs a hierarchical transformer and a novel intensity function to encode multiple factors, and open-app motivation prediction layer to integrate time and user-specific information for predicting users' open-app motivations.
no code implementations • 1 Apr 2024 • Weicong Qin, Zhongxiang Sun
With the advancement of Artificial Intelligence (AI) and Large Language Models (LLMs), there is a profound transformation occurring in the realm of natural language processing tasks within the legal domain.
no code implementations • 26 Mar 2024 • Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang song, Xiao Zhang, Jun Xu
In this paper, drawing inspiration from the in-context learning and chain of thought reasoning in LLMs, we propose the Large Language Models enhanced Collaborative Filtering (LLM-CF) framework, which distils the world knowledge and reasoning capabilities of LLMs into collaborative filtering.
1 code implementation • 3 Mar 2024 • Zhongxiang Sun, Kepu Zhang, Weijie Yu, Haoyu Wang, Jun Xu
In this paper, we address the issue of using logic rules to explain the results from legal case retrieval.
no code implementations • 23 Sep 2023 • Zihua Si, Zhongxiang Sun, Jiale Chen, Guozhang Chen, Xiaoxue Zang, Kai Zheng, Yang song, Xiao Zhang, Jun Xu
To obtain efficiency and effectiveness, this paper introduces a generative retrieval framework, namely SEATER, which learns SEmAntic Tree-structured item identifiERs via contrastive learning.
no code implementations • 13 Jun 2023 • Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang song, Xiao Zhang, Jun Xu
We believe this dataset will serve as a catalyst for innovative research and bridge the gap between academia and industry in understanding the S&R services in practical, real-world applications.
1 code implementation • 18 May 2023 • Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang song, Kun Gai, Ji-Rong Wen
In our paper, we propose a Search-Enhanced framework for the Sequential Recommendation (SESRec) that leverages users' search interests for recommendation, by disentangling similar and dissimilar representations within S&R behaviors.
1 code implementation • 3 May 2023 • Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu
The debut of ChatGPT has recently attracted the attention of the natural language processing (NLP) community and beyond.
1 code implementation • 16 Mar 2023 • Zhongxiang Sun
In this survey, we explore the integration of LLMs into the field of law.
1 code implementation • 20 Oct 2022 • Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen
We show that the framework is model-agnostic, and a number of legal case matching models can be applied as the underlying models.
1 code implementation • 9 Jul 2022 • Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen
As an essential operation of legal retrieval, legal case matching plays a central role in intelligent legal systems.