Zero-shot Text Retrieval

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

3 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

6 shown of 6 papers with code (7 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.

• LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
  3 Oct 2023 6 repositories listed Syntology ran 7 of 14 samples · 7 unverified
  We thus propose VIDAL-10M with Video, Infrared, Depth, Audio and their corresponding Language, naming as VIDAL-10M.
• FLAVA: A Foundational Language And Vision Alignment Model
  8 Dec 2021 4 repositories listed
  State-of-the-art vision and vision-and-language models rely on large-scale visio-linguistic pretraining for obtaining good performance on a variety of downstream tasks.
• AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities
  12 Nov 2022 2 repositories listed Syntology ran 2 of 11 samples · 9 unverified
  In this work, we present a conceptually simple and effective method to train a strong bilingual/multilingual multimodal representation model.
• Keras GPT Copilot: Integrating the Power of Large Language Models in Deep Learning Model Development
  15 May 2023 1 repository listed
  Keras GPT Copilot is the first Python package designed to integrate an LLM copilot within the model development workflow, offering iterative feedback options for enhancing the performance of your Keras deep learning…
• Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese
  2 Nov 2022 1 repository listed Syntology ran 4 of 7 samples · 3 unverified
  The tremendous success of CLIP (Radford et al., 2021) has promoted the research and application of contrastive learning for vision-language pretraining.
• LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval
  11 Mar 2022 1 repository listed
  Experimental results show that LaPraDoR achieves state-of-the-art performance compared with supervised dense retrieval models, and further analysis reveals the effectiveness of our training strategy and objectives.

Syntology lines on 3 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.