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Shengjie Liu

4 papers hereh-index 391 citations4 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.AI2
  • cs.CL1
  • cs.LG1
same name
  • Shengjie Liu — 4 papers, h 6
  • Shengjie Liu — 3 papers, h 3
  • Shengjie Liu — 3 papers, h 1
  • Shengjie Liu — 3 papers, h 3
  • Shengjie Liu — 1 paper, h 5
  • Shengjie Liu — 1 paper, h 4

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 citedAbstractive Summarization of Large Document Collections Using GPT

7 citations · 14 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2024

CROPS: A Deployable Crop Management System Over All Possible State Availabilities

Jing Wu, Zhixin Lai, Shengjie Liu +6

Exploring the optimal management strategy for nitrogen and irrigation has a significant impact on crop yield, economic profit, and the environment. To tackle this optimization chal…

cs.CL2024★ 3 cited

Towards a Robust Retrieval-Based Summarization System

Shengjie Liu, Jing Wu, Jingyuan Bao +3

This paper describes an investigation of the robustness of large language models (LLMs) for retrieval augmented generation (RAG)-based summarization tasks. While LLMs provide summa…

cs.LG2024★ 4 cited

SwitchTab: Switched Autoencoders Are Effective Tabular Learners

Jing Wu, Suiyao Chen, Qi Zhao +9

Self-supervised representation learning methods have achieved significant success in computer vision and natural language processing, where data samples exhibit explicit spatial or…

cs.AI2023★ 7 cited

Abstractive Summarization of Large Document Collections Using GPT

Sengjie Liu, Christopher G. Healey

This paper proposes a method of abstractive summarization designed to scale to document collections instead of individual documents. Our approach applies a combination of semantic…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.