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Shichao Sun

4 papers hereh-index 6374 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
same name
  • Shichao Sun — 8 papers, h 7
  • Shichao Sun — 1 paper, h 14
  • Shichao Sun — 1 paper, h 5
  • Shichao Sun — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedAlleviating Exposure Bias via Contrastive Learning for Abstractive Text Summarization

16 citations · 17 across the 4 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2023

Personalized Large Language Model Assistant with Evolving Conditional Memory

Ruifeng Yuan, Shichao Sun, Yongqi Li +3

With the rapid development of large language models, AI assistants like ChatGPT have become increasingly integrated into people's works and lives but are limited in personalized se…

cs.CL2023★ 1 cited

Aligning Language Models with Human Preferences via a Bayesian Approach

Jiashuo Wang, Haozhao Wang, Shichao Sun +1

In the quest to advance human-centric natural language generation (NLG) systems, ensuring alignment between NLG models and human preferences is crucial. For this alignment, current…

cs.CL2023

Improving Sentence Similarity Estimation for Unsupervised Extractive Summarization

Shichao Sun, Ruifeng Yuan, Wenjie Li +1

Unsupervised extractive summarization aims to extract salient sentences from a document as the summary without labeled data. Recent literatures mostly research how to leverage sent…

cs.CL2021★ 16 cited

Alleviating Exposure Bias via Contrastive Learning for Abstractive Text Summarization

Shichao Sun, Wenjie Li

Encoder-decoder models have achieved remarkable success in abstractive text summarization, which aims to compress one or more documents into a shorter version without the loss of t…

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