2.4k citations · 12.3k across the 115 of their papers we have counts for
4 papers · 2 filters
Re-evaluating the Need for Multimodal Signals in Unsupervised Grammar Induction
Boyi Li, Rodolfo Corona, Karttikeya Mangalam +7
Are multimodal inputs necessary for grammar induction? Recent work has shown that multimodal training inputs can improve grammar induction. However, these improvements are based on…
Latent Diffusion for Language Generation
Justin Lovelace, Varsha Kishore, Chao Wan +2
Diffusion models have achieved great success in modeling continuous data modalities such as images, audio, and video, but have seen limited use in discrete domains such as language…
Long-term Control for Dialogue Generation: Methods and Evaluation
Ramya Ramakrishnan, Hashan Buddhika Narangodage, Mauro Schilman +2
Current approaches for controlling dialogue response generation are primarily focused on high-level attributes like style, sentiment, or topic. In this work, we focus on constraine…
Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages
Felix Wu, Kwangyoun Kim, Shinji Watanabe +4
We introduce Wav2Seq, the first self-supervised approach to pre-train both parts of encoder-decoder models for speech data. We induce a pseudo language as a compact discrete repres…