59 citations · 105 across the 10 of their papers we have counts for
10 papers
Evaluation Ethics of LLMs in Legal Domain
Ruizhe Zhang, Haitao Li, Yueyue Wu +4
In recent years, the utilization of large language models for natural language dialogue has gained momentum, leading to their widespread adoption across various domains. However, t…
THUIR@COLIEE-2020: Leveraging Semantic Understanding and Exact Matching for Legal Case Retrieval and Entailment
Yunqiu Shao, Bulou Liu, Jiaxin Mao +3
In this paper, we present our methodologies for tackling the challenges of legal case retrieval and entailment in the Competition on Legal Information Extraction / Entailment 2020…
Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and Efficiently
Jingtao Zhan, Jiaxin Mao, Yiqun Liu +2
Ranking has always been one of the top concerns in information retrieval research. For decades, lexical matching signal has dominated the ad-hoc retrieval process, but it also has…
Neural Logic Reasoning
Shaoyun Shi, Hanxiong Chen, Weizhi Ma +3
Recent years have witnessed the success of deep neural networks in many research areas. The fundamental idea behind the design of most neural networks is to learn similarity patter…
RepBERT: Contextualized Text Embeddings for First-Stage Retrieval
Jingtao Zhan, Jiaxin Mao, Yiqun Liu +2
Although exact term match between queries and documents is the dominant method to perform first-stage retrieval, we propose a different approach, called RepBERT, to represent docum…
Neural Logic Networks
Shaoyun Shi, Hanxiong Chen, Min Zhang +1
Recent years have witnessed the great success of deep neural networks in many research areas. The fundamental idea behind the design of most neural networks is to learn similarity…