◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Jinpeng Wang

4 papers hereh-index 152.4k citations24 works total

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

author position
  • middle author4

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

fields
  • cs.CL3
  • cs.CV1
same name
  • Jinpeng Wang — 34 papers, h 12
  • Jinpeng Wang — 11 papers, h 2
  • Jinpeng Wang — 10 papers, h 6
  • Jinpeng Wang — 5 papers, h 9
  • Jinpeng Wang — 5 papers, h 9
  • Jinpeng Wang — 5 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
20182023
most citedEvaluating Object Hallucination in Large Vision-Language Models

14 citations · 28 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 14 cited

Evaluating Object Hallucination in Large Vision-Language Models

Yifan Li, Yifan Du, Kun Zhou +3

Inspired by the superior language abilities of large language models (LLM), large vision-language models (LVLM) have been recently explored by integrating powerful LLMs for improvi…

cs.CL2020★ 5 cited

Improving Entity Linking by Modeling Latent Entity Type Information

Shuang Chen, Jinpeng Wang, Feng Jiang +1

Existing state of the art neural entity linking models employ attention-based bag-of-words context model and pre-trained entity embeddings bootstrapped from word embeddings to asse…

cs.CL2018★ 9 cited

Operations Guided Neural Networks for High Fidelity Data-To-Text Generation

Feng Nie, Jinpeng Wang, Jin-Ge Yao +2

Recent neural models for data-to-text generation are mostly based on data-driven end-to-end training over encoder-decoder networks. Even though the generated texts are mostly fluen…

cs.CL2018

Incorporating Consistency Verification into Neural Data-to-Document Generation

Feng Nie, Hailin Chen, Jinpeng Wang +3

Recent neural models for data-to-document generation have achieved remarkable progress in producing fluent and informative texts. However, large proportions of generated texts do n…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.