185 citations · 696 across the 12 of their papers we have counts for
4 papers · 1 filter
Distilling Knowledge Learned in BERT for Text Generation
Yen-Chun Chen, Zhe Gan, Yu Cheng +2
Large-scale pre-trained language model such as BERT has achieved great success in language understanding tasks. However, it remains an open question how to utilize BERT for languag…
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…
UNITER: UNiversal Image-TExt Representation Learning
Yen-Chun Chen, Linjie Li, Licheng Yu +5
Joint image-text embedding is the bedrock for most Vision-and-Language (V+L) tasks, where multimodality inputs are simultaneously processed for joint visual and textual understandi…
Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension
Yichen Jiang, Nitish Joshi, Yen-Chun Chen +1
Multi-hop reading comprehension requires the model to explore and connect relevant information from multiple sentences/documents in order to answer the question about the context.…