Zero-shot Text Search

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

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

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

14 shown of 14 papers with code (14 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.

• GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval
  14 Dec 2021 5 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  This limits the usage of dense retrieval approaches to only a few domains with large training datasets.
• Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
  1 Jul 2020 5 repositories listed Syntology ran 3 of 12 samples · 9 unverified
  In 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.
• Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
  14 Apr 2021 4 repositories listed
  A vital step towards the widespread adoption of neural retrieval models is their resource efficiency throughout the training, indexing and query workflows.
• BM25S: Orders of magnitude faster lexical search via eager sparse scoring
  4 Jul 2024 3 repositories listed Syntology ran 10 of 22 samples · 12 unverified
  We introduce BM25S, an efficient Python-based implementation of BM25 that only depends on Numpy and Scipy.
• ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction
  2 Dec 2021 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Neural information retrieval (IR) has greatly advanced search and other knowledge-intensive language tasks.
• Large Dual Encoders Are Generalizable Retrievers
  15 Dec 2021 2 repositories listed
  With multi-stage training, surprisingly, scaling up the model size brings significant improvement on a variety of retrieval tasks, especially for out-of-domain generalization.
• SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval
  21 Sep 2021 2 repositories listed
  Meanwhile, there has been a growing interest in learning \emph{sparse} representations for documents and queries, that could inherit from the desirable properties of bag-of-words models such as the exact matching of…
• Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers
  22 Mar 2024 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  Retrieval-Augmented Generation (RAG) is a prevalent approach to infuse a private knowledge base of documents with Large Language Models (LLM) to build Generative Q\&A (Question-Answering) systems.
• RetroMAE v2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models
  16 Nov 2022 1 repository listed
  DupMAE, which targets on improving the semantic representation capacity for the contextualized embeddings of both [CLS] and ordinary tokens.
• COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning
  27 Oct 2022 1 repository listed Syntology ran 1 of 2 samples · 1 unverified
  We present a new zero-shot dense retrieval (ZeroDR) method, COCO-DR, to improve the generalization ability of dense retrieval by combating the distribution shifts between source training tasks and target scenarios.
• SGPT: GPT Sentence Embeddings for Semantic Search
  17 Feb 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  To this end, we propose SGPT to use decoders for sentence embeddings and semantic search via prompting or fine-tuning.
• Text and Code Embeddings by Contrastive Pre-Training
  24 Jan 2022 1 repository listed
  Similarly to text embeddings, we train code embedding models on (text, code) pairs, obtaining a 20.
• MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
  25 Feb 2020 1 repository listed
  The small model (student) is trained by deeply mimicking the self-attention module, which plays a vital role in Transformer networks, of the large model (teacher).
• Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types
  19 Feb 2018 1 repository listed Syntology ran 1 of 4 samples · 3 unverified
  We present a neural model for question generation from knowledge base triples in a "Zero-Shot" setup, that is generating questions for triples containing predicates, subject types or object types that were not seen at…

Syntology lines on 8 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.