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Longyu Feng

3 papers hereh-index 322 citations4 works total

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

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.DB1

identity via Semantic Scholar / OpenAlex

most citedOn Leveraging Large Language Models for Enhancing Entity Resolution: A Cost-efficient Approach

6 citations · 6 across the 3 of their papers we have counts for

collaborators
Showing cs.CLShow all

2 papers · 1 filter

cs.CL2024

Auto-Demo Prompting: Leveraging Generated Outputs as Demonstrations for Enhanced Batch Prompting

Longyu Feng, Mengze Hong, Chen Jason Zhang

Batch prompting is a common technique in large language models (LLMs) used to process multiple inputs simultaneously, aiming to improve computational efficiency. However, as batch…

cs.CL2024★ 6 cited

On Leveraging Large Language Models for Enhancing Entity Resolution: A Cost-efficient Approach

Huahang Li, Longyu Feng, Shuangyin Li +3

Entity resolution, the task of identifying and merging records that refer to the same real-world entity, is crucial in sectors like e-commerce, healthcare, and law enforcement. Lar…

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