Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019

25 January 2020

Papers citing "Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings"

7 / 7 papers shown

Minimizing PLM-Based Few-Shot Intent Detectors

Haode Zhang

Xiao-Ming Wu

Albert Y. S. Lam

VLM

330

13 Jul 2024

Self-Regulated Data-Free Knowledge Amalgamation for Text Classification

Prashanth Vijayaraghavan

255

16 Jun 2024

DistillCSE: Distilled Contrastive Learning for Sentence Embeddings

400

20 Oct 2023

Recent Advances in Neural Text Generation: A Task-Agnostic Survey

446

06 Mar 2022

ReMeDi: Resources for Multi-domain, Multi-service, Medical DialoguesAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021

Maarten de Rijke

357

01 Sep 2021

Optimal Size-Performance Tradeoffs: Weighing PoS Tagger Models

Magnus Jacobsen

Mikkel H. Sorensen

Leon Derczynski

275

16 Apr 2021

Adversarial Self-Supervised Data-Free Distillation for Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020

340

10 Oct 2020