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06/06/2023
Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning
It has always been an important yet challenging problem to control langu...
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04/24/2023
Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation
Non-AutoRegressive (NAR) text generation models have drawn much attentio...
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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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12/23/2022
Technical Report: Automating Vehicle SOA Threat Analysis using a Model-Based Methodology
While the adoption of Service-Oriented Architectures (SOA) eases the imp...
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10/17/2022
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization
Training language models to learn from human instructions for zero-shot ...
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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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04/02/2022
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation
Existing reference-free metrics have obvious limitations for evaluating ...
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03/17/2022
EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Training
Large-scale pre-training has shown remarkable performance in building op...
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02/28/2022
Rethinking and Refining the Distinct Metric
Distinct is a widely used automatic metric for evaluating the diversity ...
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08/03/2021
EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training
Although pre-trained language models have remarkably enhanced the genera...
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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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08/10/2020
A Large-Scale Chinese Short-Text Conversation Dataset
The advancements of neural dialogue generation models show promising res...
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02/03/2020
CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation
In text generation evaluation, many practical issues, such as inconsiste...
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11/06/2019
SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis
Most of the existing pre-trained language representation models neglect ...
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08/20/2019
