Pre-training methods in information retrieval
The core of information retrieval (IR) is to identify relevant information from large-scale
resources and return it as a ranked list to respond to user's information need. In recent years …
resources and return it as a ranked list to respond to user's information need. In recent years …
Unsupervised large language model alignment for information retrieval via contrastive feedback
Large language models (LLMs) have demonstrated remarkable capabilities across various
research domains, including the field of Information Retrieval (IR). However, the responses …
research domains, including the field of Information Retrieval (IR). However, the responses …
Explainable information retrieval: A survey
Explainable information retrieval is an emerging research area aiming to make transparent
and trustworthy information retrieval systems. Given the increasing use of complex machine …
and trustworthy information retrieval systems. Given the increasing use of complex machine …
Wikiformer: Pre-training with structured information of wikipedia for ad-hoc retrieval
With the development of deep learning and natural language processing techniques, pre-
trained language models have been widely used to solve information retrieval (IR) …
trained language models have been widely used to solve information retrieval (IR) …
Axiomatic causal interventions for reverse engineering relevance computation in neural retrieval models
Neural models have demonstrated remarkable performance across diverse ranking tasks.
However, the processes and internal mechanisms along which they determine relevance …
However, the processes and internal mechanisms along which they determine relevance …
Improving first-stage retrieval of point-of-interest search by pre-training models
Point-of-interest (POI) search is important for location-based services, such as navigation
and online ride-hailing service. The goal of POI search is to find the most relevant …
and online ride-hailing service. The goal of POI search is to find the most relevant …
Caseformer: Pre-training for legal case retrieval
Legal case retrieval aims to help legal workers find relevant cases related to their cases at
hand, which is important for the guarantee of fairness and justice in legal judgments. While …
hand, which is important for the guarantee of fairness and justice in legal judgments. While …
Aligning the capabilities of large language models with the context of information retrieval via contrastive feedback
Information Retrieval (IR), the process of finding information to satisfy user's information
needs, plays an essential role in modern people's lives. Recently, large language models …
needs, plays an essential role in modern people's lives. Recently, large language models …
Disentangled modeling of domain and relevance for adaptable dense retrieval
Recent advance in Dense Retrieval (DR) techniques has significantly improved the
effectiveness of first-stage retrieval. Trained with large-scale supervised data, DR models …
effectiveness of first-stage retrieval. Trained with large-scale supervised data, DR models …
[HTML][HTML] Active learning with feature matching for clinical named entity recognition
Active learning (AL) methods for Named Entity Recognition (NER) perform best when train
and test data are drawn from the same distribution. However, only limited research in active …
and test data are drawn from the same distribution. However, only limited research in active …