83 citations · 148 across the 9 of their papers we have counts for
9 papers
Copy Is All You Need
Tian Lan, Deng Cai, Yan Wang +2
The dominant text generation models compose the output by sequentially selecting words from a fixed vocabulary. In this paper, we formulate text generation as progressively copying…
Language Models Can See: Plugging Visual Controls in Text Generation
Yixuan Su, Tian Lan, Yahui Liu +5
Generative language models (LMs) such as GPT-2/3 can be prompted to generate text with remarkable quality. While they are designed for text-prompted generation, it remains an open…
A Contrastive Framework for Neural Text Generation
Yixuan Su, Tian Lan, Yan Wang +3
Text generation is of great importance to many natural language processing applications. However, maximization-based decoding methods (e.g. beam search) of neural language models o…
Exploring Dense Retrieval for Dialogue Response Selection
Tian Lan, Deng Cai, Yan Wang +3
Recent progress in deep learning has continuously improved the accuracy of dialogue response selection. In particular, sophisticated neural network architectures are leveraged to c…
Self-attention Comparison Module for Boosting Performance on Retrieval-based Open-Domain Dialog Systems
Tian Lan, Xian-Ling Mao, Zhipeng Zhao +2
Since the pre-trained language models are widely used, retrieval-based open-domain dialog systems, have attracted considerable attention from researchers recently. Most of the prev…
Ultra-Fast, Low-Storage, Highly Effective Coarse-grained Selection in Retrieval-based Chatbot by Using Deep Semantic Hashing
Tian Lan, Xian-Ling Mao, Xiaoyan Gao +2
We study the coarse-grained selection module in retrieval-based chatbot. Coarse-grained selection is a basic module in a retrieval-based chatbot, which constructs a rough candidate…
PONE: A Novel Automatic Evaluation Metric for Open-Domain Generative Dialogue Systems
Tian Lan, Xian-Ling Mao, Wei Wei +2
Open-domain generative dialogue systems have attracted considerable attention over the past few years. Currently, how to automatically evaluate them, is still a big challenge probl…
Generative Dialog Policy for Task-oriented Dialog Systems
Tian Lan, Xianling Mao, Heyan Huang
There is an increasing demand for task-oriented dialogue systems which can assist users in various activities such as booking tickets and restaurant reservations. In order to compl…
Multi-task Learning for Low-resource Second Language Acquisition Modeling
Yong Hu, Heyan Huang, Tian Lan +5
Second language acquisition (SLA) modeling is to predict whether second language learners could correctly answer the questions according to what they have learned. It is a fundamen…