gpl

UKPLab/gpl

Unsupervised domain adaptation method for dense retrieval using generative pseudo labeling

GitHub

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

23views this month

342 stars38 forksLast push Jul 6, 2023 Python Apache-2.0

Decision brief

GPL enhances dense retrieval models by adapting them to new domains without the need for labeled data, relying solely on unlabeled corpora.

Good fit when

When you have an abundance of unlabeled data from a target domain but lack labeled data.
For improving information retrieval systems where labeling is costly or time-consuming.

Avoid when

Avoid when high precision and recall on labeled datasets are critical in the initial phase without adaptation.
If significant computational resources for unsupervised learning are not available, then GPL may not be suitable.

Observed Jul 16, 2026 · Source: enrich:decision_facts

gpl alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Dormant (1171d since push); As of Sep 20, 2026
Provenance: Not a fork · Organization account; As of Sep 20, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install gpl

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

GPL technique to adapt dense retrieval models through unlabeled data, enhancing performance in new domains without labeled data.

Capability facts

Languages: python
Source: github.language · Sep 20, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

pip install gpl

Source link

README

Installation One can either install GPL via or via Meanwhile, please make sure the correct version of PyTorch has been installed according to your CUDA version.

For agents

This page has a .md twin and JSON over the API.

/tools/ukplab-gpl.md GET /api/graphcanon/tools/ukplab-gpl GET /api/graphcanon/graph?tool=ukplab-gpl

gpl