From matching to generation: A survey on generative information retrieval
Information Retrieval (IR) systems are crucial tools for users to access information, widely
applied in scenarios like search engines, question answering, and recommendation …
applied in scenarios like search engines, question answering, and recommendation …
Recent advances in generative information retrieval
Generative retrieval (GR) has become a highly active area of information retrieval (IR) that
has witnessed significant growth recently. Compared to the traditional “index-retrieve-then …
has witnessed significant growth recently. Compared to the traditional “index-retrieve-then …
Scalable and effective generative information retrieval
Recent research has shown that transformer networks can be used as differentiable search
indexes by representing each document as a sequence of document ID tokens. These …
indexes by representing each document as a sequence of document ID tokens. These …
A survey of generative search and recommendation in the era of large language models
With the information explosion on the Web, search and recommendation are foundational
infrastructures to satisfying users' information needs. As the two sides of the same coin, both …
infrastructures to satisfying users' information needs. As the two sides of the same coin, both …
Corpusbrain++: A continual generative pre-training framework for knowledge-intensive language tasks
Knowledge-intensive language tasks (KILTs) typically require retrieving relevant documents
from trustworthy corpora, eg, Wikipedia, to produce specific answers. Very recently, a pre …
from trustworthy corpora, eg, Wikipedia, to produce specific answers. Very recently, a pre …
Know where to go: Make LLM a relevant, responsible, and trustworthy searcher
The advent of Large Language Models (LLMs) has shown the potential to improve
relevance and provide direct answers in web searches. However, challenges arise in …
relevance and provide direct answers in web searches. However, challenges arise in …
RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation
Automatic mainstream hashtag recommendation aims to accurately provide users with
concise and popular topical hashtags before publication. Generally, mainstream hashtag …
concise and popular topical hashtags before publication. Generally, mainstream hashtag …
Generative retrieval as multi-vector dense retrieval
Generative retrieval generates identifiers of relevant documents in an end-to-end manner
using a sequence-to-sequence architecture for a given query. The relation between …
using a sequence-to-sequence architecture for a given query. The relation between …
Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding
This paper introduces PAG-a novel optimization and decoding approach that guides
autoregressive generation of document identifiers in generative retrieval models through …
autoregressive generation of document identifiers in generative retrieval models through …
Generative Information Retrieval Evaluation
In this chapter, we consider generative information retrieval evaluation from two distinct but
interrelated perspectives. First, large language models (LLMs) themselves are rapidly …
interrelated perspectives. First, large language models (LLMs) themselves are rapidly …