Yixuan Su | DeepAI

DeepAI AI Chat

Featured Co-authors

Yi Zhang
258 publications
Yan Wang
215 publications
Deng Cai
112 publications
Xinyu Zhang
106 publications
Shuming Shi
83 publications
Lingpeng Kong
59 publications
Tian Lan
59 publications
Heyan Huang
55 publications
Xian-Ling Mao
54 publications
Piji Li
53 publications
Anna Korhonen
52 publications

∙ 05/25/2023

PandaGPT: One Model To Instruction-Follow Them All

We present PandaGPT, an approach to emPower large lANguage moDels with v...

0 Yixuan Su, et al. ∙

∙ 05/22/2023

Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization

Biomedical named entity recognition is one of the core tasks in biomedic...

0 Zihao Fu, et al. ∙

∙ 03/25/2023

COFFEE: A Contrastive Oracle-Free Framework for Event Extraction

Event extraction is a complex information extraction task that involves ...

0 Meiru Zhang, et al. ∙

∙ 12/09/2022

Plug-and-Play Recipe Generation with Content Planning

Recent pre-trained language models have shown promising capabilities in ...

0 Yinhong Liu, et al. ∙

∙ 12/05/2022

Momentum Decoding: Open-ended Text Generation As Graph Exploration

Open-ended text generation with autoregressive language models (LMs) is ...

0 Tian Lan, et al. ∙

∙ 11/19/2022

An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text Generation

In the study, we empirically compare the two recently proposed decoding ...

0 Yixuan Su, et al. ∙

∙ 10/25/2022

Contrastive Search Is What You Need For Neural Text Generation

Generating text with autoregressive language models (LMs) is of great im...

0 Yixuan Su, et al. ∙

∙ 08/22/2022

From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking

Contextual information in search sessions is important for capturing use...

0 Yutao Zhu, et al. ∙

∙ 02/13/2022

A Contrastive Framework for Neural Text Generation

Text generation is of great importance to many natural language processi...

0 Yixuan Su, et al. ∙

∙ 02/07/2022

Measuring and Reducing Model Update Regression in Structured Prediction for NLP

Recent advance in deep learning has led to rapid adoption of machine lea...

12 Deng Cai, et al. ∙

∙ 02/02/2022

A Survey on Retrieval-Augmented Text Generation

Recently, retrieval-augmented text generation attracted increasing atten...

6 Huayang Li, et al. ∙

∙ 10/13/2021

Exploring Dense Retrieval for Dialogue Response Selection

Recent research on dialogue response selection has been mainly focused o...

7 Tian Lan, et al. ∙

∙ 09/29/2021

Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System

Pre-trained language models have been recently shown to benefit task-ori...

4 Yixuan Su, et al. ∙

∙ 08/31/2021

Plan-then-Generate: Controlled Data-to-Text Generation via Planning

Recent developments in neural networks have led to the advance in data-t...

0 Yixuan Su, et al. ∙

∙ 08/27/2021

Few-Shot Table-to-Text Generation with Prototype Memory

Neural table-to-text generation models have achieved remarkable progress...

0 Yixuan Su, et al. ∙

∙ 02/16/2021

Non-Autoregressive Text Generation with Pre-trained Language Models

Non-autoregressive generation (NAG) has recently attracted great attenti...

10 Yixuan Su, et al. ∙

∙ 12/29/2020

Dialogue Response Selection with Hierarchical Curriculum Learning

We study the learning of a matching model for dialogue response selectio...

4 Yixuan Su, et al. ∙

∙ 04/05/2020

Prototype-to-Style: Dialogue Generation with Style-Aware Editing on Retrieval Memory

The ability of a dialog system to express prespecified language style du...

0 Yixuan Su, et al. ∙

∙ 04/05/2020

Stylistic Dialogue Generation via Information-Guided Reinforcement Learning Strategy

Stylistic response generation is crucial for building an engaging dialog...

0 Yixuan Su, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world