Browse State-of-the-Art › Text Retrieval
Text Retrieval
335 papers with code · 16 benchmarks · 37 datasets archive 2025-07-28
Text Retrieval is the task of finding the most text result (such as an answer, paragraph, or passage) given a query (which could be a question, keywords, or any relevant text)
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
16 leaderboard tables shown for this task, 16 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. 10 shown of 16 until expanded.
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
37 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 37 until expanded.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 335 papers with code (671 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.
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28 Jan 2022 9 repositories listedFurthermore, performance improvement has been largely achieved by scaling up the dataset with noisy image-text pairs collected from the web, which is a suboptimal source of supervision.
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10 Nov 2019 7 repositories listed Syntology ran 4 of 6 samples · 2 unverified · 4 pointer-only (licence)We introduce an approach for open-domain question answering (QA) that retrieves and reads a passage graph, where vertices are passages of text and edges represent relationships that are derived from an external…
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25 Sep 2019 7 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 2 pointer-only (licence)Different from previous work that applies joint random masking to both modalities, we use conditional masking on pre-training tasks (i.
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3 Oct 2023 6 repositories listed Syntology ran 7 of 14 samples · 7 unverifiedWe thus propose VIDAL-10M with Video, Infrared, Depth, Audio and their corresponding Language, naming as VIDAL-10M.
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15 Dec 2022 6 repositories listed Syntology ran 1 of 4 samples · 3 unverifiedVision Transformers convert images to sequences by slicing them into patches.
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16 Jul 2021 6 repositories listed Syntology ran 3 of 5 samples · 2 unverified · 3 pointer-only (licence)Most existing methods employ a transformer-based multimodal encoder to jointly model visual tokens (region-based image features) and word tokens.
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3 Jul 2020 6 repositories listedWhile BERT is an effective method for learning monolingual sentence embeddings for semantic similarity and embedding based transfer learning (Reimers and Gurevych, 2019), BERT based cross-lingual sentence embeddings…
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21 Mar 2018 6 repositories listed Syntology ran 7 of 16 samples · 9 unverified · 1 pointer-only (licence)Prior work either simply aggregates the similarity of all possible pairs of regions and words without attending differentially to more and less important words or regions, or uses a multi-step attentional process to…
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13 Oct 2022 5 repositories listed Syntology ran 3 of 13 samples · 10 unverifiedMTEB spans 8 embedding tasks covering a total of 58 datasets and 112 languages.
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18 Apr 2021 5 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 3 pointer-only (licence)In this paper, we propose a CLIP4Clip model to transfer the knowledge of the CLIP model to video-language retrieval in an end-to-end manner.
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1 Apr 2021 5 repositories listed Syntology ran 3 of 11 samples · 8 unverifiedOur objective in this work is video-text retrieval - in particular a joint embedding that enables efficient text-to-video retrieval.
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11 Feb 2021 5 repositories listed Syntology ran 8 of 10 samples · 2 unverified · 9 pointer-only (licence)In this paper, we leverage a noisy dataset of over one billion image alt-text pairs, obtained without expensive filtering or post-processing steps in the Conceptual Captions dataset.
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1 Jul 2020 5 repositories listed Syntology ran 3 of 12 samples · 9 unverifiedIn this paper, we identify that the main bottleneck is in the training mechanisms, where the negative instances used in training are not representative of the irrelevant documents in testing.
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7 Apr 2018 5 repositories listedWe evaluate our method on the task of video retrieval and report results for the MPII Movie Description and MSR-VTT datasets.
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14 Apr 2021 4 repositories listedA vital step towards the widespread adoption of neural retrieval models is their resource efficiency throughout the training, indexing and query workflows.
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1 Mar 2020 4 repositories listed Syntology ran 0 of 7 samples · 7 unverifiedTo improve fine-grained video-text retrieval, we propose a Hierarchical Graph Reasoning (HGR) model, which decomposes video-text matching into global-to-local levels.
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4 Jul 2024 3 repositories listed Syntology ran 10 of 22 samples · 12 unverifiedWe introduce BM25S, an efficient Python-based implementation of BM25 that only depends on Numpy and Scipy.
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28 Nov 2023 3 repositories listedThis paper introduces RETSim (Resilient and Efficient Text Similarity), a lightweight, multilingual deep learning model trained to produce robust metric embeddings for near-duplicate text retrieval, clustering, and…
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15 Jul 2022 3 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 1 pointer-only (licence)However, cross-grained contrast, which is the contrast between coarse-grained representations and fine-grained representations, has rarely been explored in prior research.
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24 May 2022 3 repositories listedLarge-scale pretrained foundation models have been an emerging paradigm for building artificial intelligence (AI) systems, which can be quickly adapted to a wide range of downstream tasks.
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17 Apr 2021 3 repositories listed Syntology ran 3 of 4 samples · 1 unverifiedTo address this, and to facilitate researchers to broadly evaluate the effectiveness of their models, we introduce Benchmarking-IR (BEIR), a robust and heterogeneous evaluation benchmark for information retrieval.
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7 Apr 2021 3 repositories listedAs region-based visual features usually represent parts of an image, it is challenging for existing vision-language models to fully understand the semantics from paired natural languages.
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2 Mar 2021 3 repositories listedFirst, WIT is the largest multimodal dataset by the number of image-text examples by 3x (at the time of writing).
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2 Nov 2018 3 repositories listedTo test such models, we collect a dataset of grounded human-human conversations, where speakers are asked to play roles given a provided emotional mood or style, as the use of such traits is also a key factor in…
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27 Aug 2018 3 repositories listedIn this way, the text based image retrieval task can be casted as a simple nearest neighbor search of the query text representation over the outputs of the CNN over the entire image database.
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11 Aug 2017 3 repositories listedEspecially, deep generative models naturally combine the expressiveness of probabilistic generative models with the high capacity of deep neural networks, which is very suitable for text modeling.
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28 Mar 2025 2 repositories listedIn the second stage, it learns CLAP features using the audio features learned from the LLM-based embeddings.
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13 Jan 2025 2 repositories listed Syntology ran 0 of 20 samples · 20 unverifiedThe development of vision-language models (VLMs) is driven by large-scale and diverse multimodal datasets.
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16 Dec 2024 2 repositories listed Syntology ran 2 of 12 samples · 10 unverifiedThese models typically align each modality to a designated anchor without ensuring the alignment of all modalities with each other, leading to suboptimal performance in tasks requiring a joint understanding of multiple…
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11 Jun 2024 2 repositories listed Syntology ran 7 of 14 samples · 7 unverifiedContrastive Language-Image Pre-training (CLIP) has significantly improved performance in various vision-language tasks by expanding the dataset with image-text pairs obtained from websites.
Syntology lines on 18 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections