Ad-Hoc Information Retrieval

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

27 shown of 27 papers with code (41 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• A Self-Attentive model for Knowledge Tracing
  16 Jul 2019 10 repositories listed Syntology ran 6 of 12 samples · 6 unverified · 9 pointer-only (licence)
  Knowledge tracing is the task of modeling each student's mastery of knowledge concepts (KCs) as (s)he engages with a sequence of learning activities.
• CEDR: Contextualized Embeddings for Document Ranking
  15 Apr 2019 7 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  We call this joint approach CEDR (Contextualized Embeddings for Document Ranking).
• Text Matching as Image Recognition
  20 Feb 2016 7 repositories listed
  An effective way is to extract meaningful matching patterns from words, phrases, and sentences to produce the matching score.
• A Deep Relevance Matching Model for Ad-hoc Retrieval
  23 Nov 2017 3 repositories listed
  Specifically, our model employs a joint deep architecture at the query term level for relevance matching.
• Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval
  30 Jun 2017 3 repositories listed
  Neural IR models, such as DRMM and PACRR, have achieved strong results by successfully capturing relevance matching signals.
• IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
  30 May 2017 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  This paper provides a unified account of two schools of thinking in information retrieval modelling: the generative retrieval focusing on predicting relevant documents given a query, and the discriminative retrieval…
• PACRR: A Position-Aware Neural IR Model for Relevance Matching
  12 Apr 2017 3 repositories listed
  In order to adopt deep learning for information retrieval, models are needed that can capture all relevant information required to assess the relevance of a document to a given user query.
• Injecting Domain Adaptation with Learning-to-hash for Effective and Efficient Zero-shot Dense Retrieval
  23 May 2022 2 repositories listed
  In our work, we evaluate LTH and vector compression techniques for improving the downstream zero-shot retrieval accuracy of the TAS-B dense retriever while maintaining efficiency at inference.
• Document Ranking with a Pretrained Sequence-to-Sequence Model
  14 Mar 2020 2 repositories listed
  We investigate this observation further by varying target words to probe the model's use of latent knowledge.
• Simple Applications of BERT for Ad Hoc Document Retrieval
  26 Mar 2019 2 repositories listed
  Following recent successes in applying BERT to question answering, we explore simple applications to ad hoc document retrieval.
• Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks
  30 Jan 2023 1 repository listed
  Statutory article retrieval (SAR), the task of retrieving statute law articles relevant to a legal question, is a promising application of legal text processing.
• Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval
  11 Aug 2022 1 repository listed
  By making the REM and DAMs disentangled, DDR enables a flexible training paradigm in which REM is trained with supervision once and DAMs are trained with unsupervised data.
• Event-Driven Query Expansion
  22 Dec 2020 1 repository listed
  A significant number of event-related queries are issued in Web search.
• PARADE: Passage Representation Aggregation for Document Reranking
  20 Aug 2020 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  In this work, we explore strategies for aggregating relevance signals from a document's passages into a final ranking score.
• Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot Learning
  30 Dec 2019 1 repository listed
  While billions of non-English speaking users rely on search engines every day, the problem of ad-hoc information retrieval is rarely studied for non-English languages.
• WIKIR: A Python toolkit for building a large-scale Wikipedia-based English Information Retrieval Dataset
  4 Dec 2019 1 repository listed
  Since most standard ad-hoc information retrieval datasets publicly available for academic research (e.
• Deeper Text Understanding for IR with Contextual Neural Language Modeling
  22 May 2019 1 repository listed Syntology ran 2 of 7 samples · 5 unverified
  Neural networks provide new possibilities to automatically learn complex language patterns and query-document relations.
• Joint Optimization of Cascade Ranking Models
  11 Feb 2019 1 repository listed
  A cascaded ranking architecture turns ranking into a pipeline of multiple stages, and has been shown to be a powerful approach to balancing efficiency and effectiveness trade-offs in large-scale search systems.
• The Neural Hype and Comparisons Against Weak Baselines
  1 Dec 2018 1 repository listed
  Sculley et al.
• DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval
  1 Nov 2018 1 repository listed
  Most neural Information Retrieval (Neu-IR) models derive query-to-document ranking scores based on term-level matching.
• NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
  30 Oct 2018 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  Pseudo-relevance feedback (PRF) is commonly used to boost the performance of traditional information retrieval (IR) models by using top-ranked documents to identify and weight new query terms, thereby reducing the…
• From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing
  22 Oct 2018 1 repository listed
  In this work, we propose a standalone neural ranking model (SNRM) by introducing a sparsity property to learn a latent sparse representation for each query and document.
• Deep Relevance Ranking Using Enhanced Document-Query Interactions
  5 Sep 2018 1 repository listed
  We explore several new models for document relevance ranking, building upon the Deep Relevance Matching Model (DRMM) of Guo et al.
• MatchZoo: A Toolkit for Deep Text Matching
  23 Jul 2017 1 repository listed
  In recent years, deep neural models have been widely adopted for text matching tasks, such as question answering and information retrieval, showing improved performance as compared with previous methods.
• Topical Coherence in LDA-based Models through Induced Segmentation
  1 Jul 2017 1 repository listed
  This paper presents an LDA-based model that generates topically coherent segments within documents by jointly segmenting documents and assigning topics to their words.
• End-to-End Neural Ad-hoc Ranking with Kernel Pooling
  20 Jun 2017 1 repository listed
  Given a query and a set of documents, K-NRM uses a translation matrix that models word-level similarities via word embeddings, a new kernel-pooling technique that uses kernels to extract multi-level soft match features,…
• Neural Ranking Models with Weak Supervision
  28 Apr 2017 1 repository listed
  Our experiments indicate that employing proper objective functions and letting the networks to learn the input representation based on weakly supervised data leads to impressive performance, with over 13% and 35% MAP…

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.