Information retrieval: recent advances and beyond
KA Hambarde, H Proenca - IEEE Access, 2023 - ieeexplore.ieee.org
This paper provides an extensive and thorough overview of the models and techniques
utilized in the first and second stages of the typical information retrieval processing chain …
utilized in the first and second stages of the typical information retrieval processing chain …
A proposed conceptual framework for a representational approach to information retrieval
J Lin - ACM SIGIR Forum, 2022 - dl.acm.org
This paper outlines a conceptual framework for understanding recent developments in
information retrieval and natural language processing that attempts to integrate dense and …
information retrieval and natural language processing that attempts to integrate dense and …
A survey for efficient open domain question answering
Open domain question answering (ODQA) is a longstanding task aimed at answering factual
questions from a large knowledge corpus without any explicit evidence in natural language …
questions from a large knowledge corpus without any explicit evidence in natural language …
Introducing neural bag of whole-words with colberter: Contextualized late interactions using enhanced reduction
Recent progress in neural information retrieval has demonstrated large gains in quality,
while often sacrificing efficiency and interpretability compared to classical approaches. We …
while often sacrificing efficiency and interpretability compared to classical approaches. We …
Are we there yet? A decision framework for replacing term based retrieval with dense retrieval systems
Recently, several dense retrieval (DR) models have demonstrated competitive performance
to term-based retrieval that are ubiquitous in search systems. In contrast to term-based …
to term-based retrieval that are ubiquitous in search systems. In contrast to term-based …
Domain adaptation for memory-efficient dense retrieval
Dense retrievers encode documents into fixed dimensional embeddings. However, storing
all the document embeddings within an index produces bulky indexes which are expensive …
all the document embeddings within an index produces bulky indexes which are expensive …
Understanding and mitigating the threat of vec2text to dense retrieval systems
The emergence of Vec2Text---a method for text embedding inversion---has raised serious
privacy concerns for dense retrieval systems which use text embeddings, such as those …
privacy concerns for dense retrieval systems which use text embeddings, such as those …
Query expansion using contextual clue sampling with language models
Query expansion is an effective approach for mitigating vocabulary mismatch between
queries and documents in information retrieval. One recent line of research uses language …
queries and documents in information retrieval. One recent line of research uses language …
[PDF][PDF] Injecting domain adaptation with learning-to-hash for effective and efficient zero-shot dense retrieval
Dense retrieval overcome the lexical gap and has shown great success in ad-hoc
information retrieval (IR). Despite their success, dense retrievers are expensive to serve …
information retrieval (IR). Despite their success, dense retrievers are expensive to serve …
An encoder attribution analysis for dense passage retriever in open-domain question answering
The bi-encoder design of dense passage retriever (DPR) is a key factor to its success in
open-domain question answering (QA), yet it is unclear how DPR's question encoder and …
open-domain question answering (QA), yet it is unclear how DPR's question encoder and …