Recent studies have shown that Dense Retrieval (DR) techniques can significantly improve the performance of first-stage retrieval in IR systems. Despite its empirical effectiveness, the …
H Li, W Su, C Wang, Y Wu, Q Ai, Y Liu - arXiv preprint arXiv:2305.06812, 2023 - arxiv.org
Legal case retrieval techniques play an essential role in modern intelligent legal systems. As an annually well-known international competition, COLIEE is aiming to achieve the state-of …
This is an overview of the NTCIR-15 We Want Web with CENTRE (WWW-3) task. The task features the Chinese subtask (adhoc web search) and the English subtask (adhoc web …
H Li, J Chen, W Su, Q Ai, Y Liu - arXiv preprint arXiv:2303.04710, 2023 - arxiv.org
This paper describes the approach of the THUIR team at the WSDM Cup 2023 Pre-training for Web Search task. This task requires the participant to rank the relevant documents for …
H Li, C Wang, W Su, Y Wu, Q Ai, Y Liu - arXiv preprint arXiv:2305.06817, 2023 - arxiv.org
This paper describes the approach of the THUIR team at the COLIEE 2023 Legal Case Entailment task. This task requires the participant to identify a specific paragraph from a …
The present study leverages a recent opportunity we had to create a new English web search test collection for the NTCIR-16 We Want Web (WWW-4) task, which concluded in …
Y Tu, H Li, Z Chu, Q Ai, Y Liu - … of NTCIR-17. https://doi. org …, 2023 - research.nii.ac.jp
The fairness of search systems has become an important research topic for the IR community. This paper presents and discusses the efforts of the THUIR team in developing …
Unfortunately, the official English (sub) task results reported in the NTCIR-14 WWW-2, NTCIR-15 WWW-3, and NTCIR-16 WWW-4 overview papers are incorrect due to noise in …
J Chen, H Li, W Su, Q Ai, Y Liu - arXiv preprint arXiv:2304.12650, 2023 - arxiv.org
This paper introduces the approaches we have used to participate in the WSDM Cup 2023 Task 1: Unbiased Learning to Rank. In brief, we have attempted a combination of both …