activity
20192023
most citedPanGu-: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation

94 citations · 129 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2023★ 1 cited

TagGPT: Large Language Models are Zero-shot Multimodal Taggers

Chen Li, Yixiao Ge, Jiayong Mao +2

Tags are pivotal in facilitating the effective distribution of multimedia content in various applications in the contemporary Internet era, such as search engines and recommendatio…

cs.CL2021★ 94 cited

PanGu-: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation

Wei Zeng, Xiaozhe Ren, Teng Su +35

Large-scale Pretrained Language Models (PLMs) have become the new paradigm for Natural Language Processing (NLP). PLMs with hundreds of billions parameters such as GPT-3 have demon…

cs.CL2021★ 33 cited

NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation

Xiaoyang Wang, Chen Li, Jianqiao Zhao +1

In this paper, we propose a Chinese multi-turn topic-driven conversation dataset, NaturalConv, which allows the participants to chat anything they want as long as any element from…

cs.CL2019

Joint Parsing and Generation for Abstractive Summarization

Kaiqiang Song, Logan Lebanoff, Qipeng Guo +5

Sentences produced by abstractive summarization systems can be ungrammatical and fail to preserve the original meanings, despite being locally fluent. In this paper we propose to r…

cs.CL2019★ 1 cited

Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations

Sangwoo Cho, Chen Li, Dong Yu +2

Emerged as one of the best performing techniques for extractive summarization, determinantal point processes select the most probable set of sentences to form a summary according t…