Papers by Puyuan Liu

2 papers
Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization (2022.acl-long)

Copied to clipboard

Challenge: Text summarization aims to generate a short summary for an input text.
Approach: They propose a non-autoregressive unsupervised summarization approach which performs edit-based search towards a heuristicically defined score and generates a summary as pseudo-groundtruth.
Outcome: The proposed approach achieves state-of-the-art performance for unsupervised summarization, while improving inference efficiency.
VoiceCraft-X: Unifying Multilingual, Voice-Cloning Speech Synthesis and Speech Editing (2025.emnlp-main)

Copied to clipboard

Challenge: Autoregressive language model for multilingual speech editing and zero-shot text-to-speech synthesis is available in 11 languages.
Approach: They introduce an autoregressive neural codec language model which unifies multilingual speech editing and zero-shot text-to-speech synthesis across 11 languages.
Outcome: The model generates high-quality, natural-sounding speech, even with limited per-language data . it shows robust performance in diverse linguistic settings, even in limited per language data compared to other models .

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations