activity
20232026
most citedCTRLStruct: Dialogue Structure Learning for Open-Domain Response Generation

5 citations · 8 across the 28 of their papers we have counts for

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5 papers · 1 filter

cs.CL2023

Medical Report Generation based on Segment-Enhanced Contrastive Representation Learning

Ruoqing Zhao, Xi Wang, Hongliang Dai +2

Automated radiology report generation has the potential to improve radiology reporting and alleviate the workload of radiologists. However, the medical report generation task poses…

cs.CL2023

Rethinking Cross-Subject Data Splitting for Brain-to-Text Decoding

Congchi Yin, Qian Yu, Zhiwei Fang +2

Recent major milestones have successfully reconstructed natural language from non-invasive brain signals (e.g. functional Magnetic Resonance Imaging (fMRI) and Electroencephalogram…

cs.CL2023

InfoDiffusion: Information Entropy Aware Diffusion Process for Non-Autoregressive Text Generation

Renzhi Wang, Jing Li, Piji Li

Diffusion models have garnered considerable interest in the field of text generation. Several studies have explored text diffusion models with different structures and applied them…

cs.CL2023

Topic-Guided Self-Introduction Generation for Social Media Users

Chunpu Xu, Jing Li, Piji Li +1

Millions of users are active on social media. To allow users to better showcase themselves and network with others, we explore the auto-generation of social media self-introduction…

cs.CL2023★ 5 cited

CTRLStruct: Dialogue Structure Learning for Open-Domain Response Generation

Congchi Yin, Piji Li, Zhaochun Ren

Dialogue structure discovery is essential in dialogue generation. Well-structured topic flow can leverage background information and predict future topics to help generate controll…