most citedDialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

103 citations · 125 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2021★ 8 cited

Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention

Yichong Xu, Chenguang Zhu, Shuohang Wang +7

Most of today's AI systems focus on using self-attention mechanisms and transformer architectures on large amounts of diverse data to achieve impressive performance gains. In this…

cs.CL2021★ 2 cited

Leveraging Knowledge in Multilingual Commonsense Reasoning

Yuwei Fang, Shuohang Wang, Yichong Xu +4

Commonsense reasoning (CSR) requires the model to be equipped with general world knowledge. While CSR is a language-agnostic process, most comprehensive knowledge sources are in fe…

cs.CL2021★ 6 cited

RetGen: A Joint framework for Retrieval and Grounded Text Generation Modeling

Yizhe Zhang, Siqi Sun, Xiang Gao +5

Recent advances in large-scale pre-training such as GPT-3 allow seemingly high quality text to be generated from a given prompt. However, such generation systems often suffer from…

cs.CL2021★ 6 cited

LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval

Siqi Sun, Yen-Chun Chen, Linjie Li +3

Multimodal pre-training has propelled great advancement in vision-and-language research. These large-scale pre-trained models, although successful, fatefully suffer from slow infer…

cs.CL2019★ 103 cited

DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

Yizhe Zhang, Siqi Sun, Michel Galley +6

We present a large, tunable neural conversational response generation model, DialoGPT (dialogue generative pre-trained transformer). Trained on 147M conversation-like exchanges ext…