Semantic models for the first-stage retrieval: A comprehensive review
Multi-stage ranking pipelines have been a practical solution in modern search systems,
where the first-stage retrieval is to return a subset of candidate documents and latter stages …
where the first-stage retrieval is to return a subset of candidate documents and latter stages …
The threat of offensive ai to organizations
AI has provided us with the ability to automate tasks, extract information from vast amounts of
data, and synthesize media that is nearly indistinguishable from the real thing. However …
data, and synthesize media that is nearly indistinguishable from the real thing. However …
Generative artificial intelligence as a new context for management theories: analysis of ChatGPT
Generative artificial intelligence as a new context for management theories: analysis of ChatGPT
| Emerald Insight Books and journals Case studies Expert Briefings Open Access Publish with us …
| Emerald Insight Books and journals Case studies Expert Briefings Open Access Publish with us …
Dense text retrieval based on pretrained language models: A survey
Text retrieval is a long-standing research topic on information seeking, where a system is
required to return relevant information resources to user's queries in natural language. From …
required to return relevant information resources to user's queries in natural language. From …
Colbert: Efficient and effective passage search via contextualized late interaction over bert
Recent progress in Natural Language Understanding (NLU) is driving fast-paced advances
in Information Retrieval (IR), largely owed to fine-tuning deep language models (LMs) for …
in Information Retrieval (IR), largely owed to fine-tuning deep language models (LMs) for …
Conversational information seeking
Conversational information seeking (CIS) is concerned with a sequence of interactions
between one or more users and an information system. Interactions in CIS are primarily …
between one or more users and an information system. Interactions in CIS are primarily …
[HTML][HTML] Information retrieval meets large language models: a strategic report from chinese ir community
The research field of Information Retrieval (IR) has evolved significantly, expanding beyond
traditional search to meet diverse user information needs. Recently, Large Language …
traditional search to meet diverse user information needs. Recently, Large Language …
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 …
Simple applications of BERT for ad hoc document retrieval
Following recent successes in applying BERT to question answering, we explore simple
applications to ad hoc document retrieval. This required confronting the challenge posed by …
applications to ad hoc document retrieval. This required confronting the challenge posed by …
[HTML][HTML] COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization
The COVID-19 global pandemic has resulted in international efforts to understand, track,
and mitigate the disease, yielding a significant corpus of COVID-19 and SARS-CoV-2 …
and mitigate the disease, yielding a significant corpus of COVID-19 and SARS-CoV-2 …