Ad-Hoc Information Retrieval
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Benchmarks
TREC Robust04
Most implemented
A Self-Attentive model for Knowledge Tracing
CEDR: Contextualized Embeddings for Document Ranking
Text Matching as Image Recognition
A Deep Relevance Matching Model for Ad-hoc Retrieval
Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval
Papers
Evaluating Generative Ad Hoc Information Retrieval
Recent advances in large language models have enabled the development of viable generative retrieval systems. Instead of a traditional document ranking, generative retrieval systems often directly return a grounded gener…
Ad-Hoc Information RetrievalDocument RankingInformation RetrievalRetrievalFinding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks
Statutory article retrieval (SAR), the task of retrieving statute law articles relevant to a legal question, is a promising application of legal text processing. In particular, high-quality SAR systems can improve the wo…
Ad-Hoc Information RetrievalArticlesGraph Neural NetworkInformation Retrieval+1Disentangled 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 can encode queries and documents into a low-dim…
Ad-Hoc Information RetrievalDomain AdaptationRetrievalInjecting 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 across practical use cases. For use cases requirin…
Ad-Hoc Information RetrievalCPUDomain AdaptationInformation Retrieval+3A data-driven strategy to combine word embeddings in information retrieval
Word embeddings are vital descriptors of words in unigram representations of documents for many tasks in natural language processing and information retrieval. The representation of queries has been one of the most criti…
Ad-Hoc Information RetrievalDescriptiveInformation RetrievalRetrieval+1Neural document expansion for ad-hoc information retrieval
Recently, Nogueira et al. [2019] proposed a new approach to document expansion based on a neural Seq2Seq model, showing significant improvement on short text retrieval task. However, this approach needs a large amount of…
Ad-Hoc Information RetrievalInformation RetrievalRetrievalText Retrieval