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02/26/2023
Tailoring Language Generation Models under Total Variation Distance
The standard paradigm of neural language generation adopts maximum likel...
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06/06/2022
Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation
Despite the success of text-to-text pre-trained models in various natura...
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04/15/2022
LaMemo: Language Modeling with Look-Ahead Memory
Although Transformers with fully connected self-attentions are powerful ...
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10/12/2021
DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer
Despite the recent advances in applying pre-trained language models to g...
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06/19/2021
JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
Existing pre-trained models for knowledge-graph-to-text (KG-to-text) gen...
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12/01/2020
CPM: A Large-scale Generative Chinese Pre-trained Language Model
Pre-trained Language Models (PLMs) have proven to be beneficial for vari...
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09/24/2020
Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths
Commonsense explanation generation aims to empower the machine's sense-m...
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09/24/2020
Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph
Despite the success of generative pre-trained language models on a serie...
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11/06/2019