Fine-grained Contrastive Learning for Definition Generation

Fine-grained Contrastive Learning for Definition Generation

2 October 2022

Papers citing "Fine-grained Contrastive Learning for Definition Generation"

16 / 16 papers shown

Title
ShifCon: Enhancing Non-Dominant Language Capabilities with a Shift-based Contrastive Framework Hengyuan Zhang Chenming Shang Sizhe Wang Dongdong Zhang Feng Yao Renliang Sun Yiyao Yu Yujiu Yang Furu Wei 94 3 0 25 Oct 2024
Multitasking Framework for Unsupervised Simple Definition Generation Cunliang Kong Yuxiang Chen Hengyuan Zhang Liner Yang Erhong Yang 50 19 0 24 Mar 2022
CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation Yunfan Shao Zhichao Geng Yitao Liu Junqi Dai Hang Yan Fei Yang Li Zhe Hujun Bao Xipeng Qiu MedIm 93 149 0 13 Sep 2021
SimCSE: Simple Contrastive Learning of Sentence Embeddings Tianyu Gao Xingcheng Yao Danqi Chen AILaw SSL 195 3,336 0 18 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 731 28,659 0 26 Feb 2021
VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling Machel Reid Edison Marrese-Taylor Y. Matsuo 42 17 0 07 Oct 2020
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks Xiujun Li Xi Yin Chunyuan Li Pengchuan Zhang Xiaowei Hu ... Houdong Hu Li Dong Furu Wei Yejin Choi Jianfeng Gao VLM 77 1,927 0 13 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 310 42,038 0 03 Dec 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension M. Lewis Yinhan Liu Naman Goyal Marjan Ghazvininejad Abdel-rahman Mohamed Omer Levy Veselin Stoyanov Luke Zettlemoyer AIMat VLM 178 10,720 0 29 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 330 19,824 0 23 Oct 2019
Incorporating Sememes into Chinese Definition Modeling Liner Yang Cunliang Kong Yun Chen Yang Liu Qinan Fan Erhong Yang 30 30 0 16 May 2019
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference Mandar Joshi Eunsol Choi Omer Levy Daniel S. Weld Luke Zettlemoyer CoGe 39 47 0 20 Oct 2018
Conditional Generators of Words Definitions Artyom Gadetsky Ilya Yakubovskiy Dmitry Vetrov 34 69 0 26 Jun 2018
Learning to Explain Non-Standard English Words and Phrases Ke Ni William Yang Wang 36 44 0 26 Sep 2017
Definition Modeling: Learning to define word embeddings in natural language Thanapon Noraset Chen Liang Larry Birnbaum Doug Downey 44 124 0 01 Dec 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.1K 149,474 0 22 Dec 2014