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Shen Gao

14 papers hereh-index 11445 citations24 works total

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

author position
  • first author2
  • middle author12

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CL13
  • cs.IR1
same name
  • Shen Gao — 16 papers, h 6
  • Shen Gao — 14 papers, h 14
  • Shen Gao — 7 papers, h 8
  • Shen Gao — 5 papers, h 9
  • Shen Gao — 3 papers, h 1
  • Shen Gao — 3 papers, 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

activity
20202025
most citedMeaningful Answer Generation of E-Commerce Question-Answering

7 citations · 22 across the 14 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CL2024

Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization

Xiuying Chen, Shen Gao, Mingzhe Li +3

Nowadays, neural text generation has made tremendous progress in abstractive summarization tasks. However, most of the existing summarization models take in the whole document all…

cs.CL2024★ 1 cited

Flexible and Adaptable Summarization via Expertise Separation

Xiuying Chen, Mingzhe Li, Shen Gao +5

A proficient summarization model should exhibit both flexibility -- the capacity to handle a range of in-domain summarization tasks, and adaptability -- the competence to acquire n…

cs.IR2024★ 1 cited

Selecting Query-bag as Pseudo Relevance Feedback for Information-seeking Conversations

Xiaoqing Zhang, Xiuying Chen, Shen Gao +4

Information-seeking dialogue systems are widely used in e-commerce systems, with answers that must be tailored to fit the specific settings of the online system. Given the user que…

cs.CL2024

Rethinking Scientific Summarization Evaluation: Grounding Explainable Metrics on Facet-aware Benchmark

Xiuying Chen, Tairan Wang, Qingqing Zhu +5

The summarization capabilities of pretrained and large language models (LLMs) have been widely validated in general areas, but their use in scientific corpus, which involves comple…

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