Browse State-of-the-Art › Retrieval

Retrieval

5,274 papers with code · 11 benchmarks · 38 datasets archive 2025-07-28

Computer VisionMethodologyNatural Language Processing

A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

11 leaderboard tables shown for this task, 11 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 11 until expanded.

DatasetBest model (first row in archive order)PaperCodeSyntologyCompare
Quora Question Pairs (4 rows) BM25S BM25S: Orders of magnitude faster lexical search via eager sparse scoring code Syntology ran 10 of 22 samples · 12 unverified Compare
HotpotQA (3 rows) BM25S BM25S: Orders of magnitude faster lexical search via eager sparse scoring code Syntology ran 10 of 22 samples · 12 unverified Compare
Natural Questions (3 rows) BM25S BM25S: Orders of magnitude faster lexical search via eager sparse scoring code Syntology ran 10 of 22 samples · 12 unverified Compare
OK-VQA (2 rows) FLMR Fine-grained Late-interaction Multi-modal Retrieval for Retrieval... code Syntology ran 8 of 8 samples · 0 unverified Compare
InfoSeek (1 row) PreFLMR PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers code — Compare
คลิปไวรัล!! ไอซ์ ปรีชญา ลืมปิดไลฟ์สดตอนอาบน้ำ ถูกแชร์กระหึ่มเน็ต (1 row) hello A Large-scale Annotated Mechanical Components Benchmark for... code — Compare
MVK (1 row) CLIP-KIS Marine Video Kit: A New Marine Video Dataset for Content-based... code — Compare
Polyvore (1 row) CLIP4Outfit Lost Your Style? Navigating with Semantic-Level Approach for... — — Compare
PubMedQA (1 row) MetaGen Blended RAG MetaGen Blended RAG: Higher Accuracy for Domain-Specific Q&A... code — Compare
PubMedQA corpus with metadata (1 row) MetaGen Blended RAG MetaGen Blended RAG: Higher Accuracy for Domain-Specific Q&A... code — Compare
ToolLens (1 row) COLT Towards Completeness-Oriented Tool Retrieval for Large Language Models code Syntology ran 3 of 3 samples · 0 unverified Compare

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

38 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 38 until expanded.

Subtasks archive 2025-07-28

3 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 5,274 papers with code (14,297 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.

Syntology lines on 19 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.

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