◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Ruyi Gan

3 papers here

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

author position
  • middle author2
  • last author1

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

fields
  • cs.CL3
same name
  • Ruyi Gan — 3 papers, h 13

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 citedZiya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2023★ 1 cited

Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning

Junyu Lu, Dixiang Zhang, Xiaojun Wu +5

Recent advancements enlarge the capabilities of large language models (LLMs) in zero-shot image-to-text generation and understanding by integrating multi-modal inputs. However, suc…

cs.CL2023

UniEX: An Effective and Efficient Framework for Unified Information Extraction via a Span-extractive Perspective

Ping Yang, Junyu Lu, Ruyi Gan +4

We propose a new paradigm for universal information extraction (IE) that is compatible with any schema format and applicable to a list of IE tasks, such as named entity recognition…

cs.CL2022

Towards No.1 in CLUE Semantic Matching Challenge: Pre-trained Language Model Erlangshen with Propensity-Corrected Loss

Junjie Wang, Yuxiang Zhang, Ping Yang +1

This report describes a pre-trained language model Erlangshen with propensity-corrected loss, the No.1 in CLUE Semantic Matching Challenge. In the pre-training stage, we construct…

◍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.