Home › Entities › academia › AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models

AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models

Research article (Findings of the Association for Computational Linguistics: EMNLP 2022, 2022) · cited 13× · AI/ML
academia openalex:W4385574133
Press Enter · cited answer in seconds

AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models

Summary

AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models is a scholarly article[1].

Key Facts

  • AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models's instance of is recorded as scholarly article[2].

Related Entities

Ha Jung-woo

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/alphatuning-quantization-aware-parameter-efficient-adaptation-of-large-scale-pre-trained-language-models
MLA “AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/alphatuning-quantization-aware-parameter-efficient-adaptation-of-large-scale-pre-trained-language-models.
BibTeX @misc{4ortxyz_alphatuning-quantization-aware-parameter-efficient-adaptation-of-large-scale-pre-trained-language-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models}}, year = {2026}, url = {https://4ort.xyz/entity/alphatuning-quantization-aware-parameter-efficient-adaptation-of-large-scale-pre-trained-language-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models — https://4ort.xyz/entity/alphatuning-quantization-aware-parameter-efficient-adaptation-of-large-scale-pre-trained-language-models (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/alphatuning-quantization-aware-parameter-efficient-adaptation-of-large-scale-pre-trained-language-models · Last refreshed: