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Wei Cheng

39 papers hereh-index 13601 citations51 works total

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

author position
  • middle author34
  • last author4

Across the 38 of 39 papers where every author was matched, so the position is known.

fields
  • cs.CL15
  • cs.LG15
  • cs.AI6
  • cs.CV2
  • cs.DC1
same name
  • Wei Cheng — 51 papers, h 80
  • Wei Cheng — 26 papers, h 10
  • Wei Cheng — 22 papers, h 4
  • Wei Cheng — 11 papers, h 4
  • Wei Cheng — 9 papers, h 27
  • Wei Cheng — 9 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
20232026
most citedA Survey on Detection of LLMs-Generated Content

7 citations · 39 across the 33 of their papers we have counts for

collaborators
Showing 2023 · cs.CLShow all

4 papers · 2 filters

cs.CL2023★ 1 cited

Open-ended Commonsense Reasoning with Unrestricted Answer Scope

Chen Ling, Xuchao Zhang, Xujiang Zhao +7

Open-ended Commonsense Reasoning is defined as solving a commonsense question without providing 1) a short list of answer candidates and 2) a pre-defined answer scope. Conventional…

cs.CL2023★ 7 cited

A Survey on Detection of LLMs-Generated Content

Xianjun Yang, Liangming Pan, Xuandong Zhao +4

The burgeoning capabilities of advanced large language models (LLMs) such as ChatGPT have led to an increase in synthetic content generation with implications across a variety of s…

cs.CL2023★ 3 cited

Zero-Shot Detection of Machine-Generated Codes

Xianjun Yang, Kexun Zhang, Haifeng Chen +3

This work proposes a training-free approach for the detection of LLMs-generated codes, mitigating the risks associated with their indiscriminate usage. To the best of our knowledge…

cs.CL2023★ 3 cited

PrivacyMind: Large Language Models Can Be Contextual Privacy Protection Learners

Yijia Xiao, Yiqiao Jin, Yushi Bai +10

The proliferation of Large Language Models (LLMs) has driven considerable interest in fine-tuning them with domain-specific data to create specialized language models. Nevertheless…

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