◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Peng-Xiao Song

4 papers hereh-index 359 citations4 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.CL2
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedLawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model

16 citations · 18 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2025★ 2 cited

LawGPT: Knowledge-Guided Data Generation and Its Application to Legal LLM

Zhi Zhou, Kun-Yang Yu, Shi-Yu Tian +6

Large language models (LLMs), both proprietary and open-source, have demonstrated remarkable capabilities across various natural language processing tasks. However, they face signi…

cs.CV2025

CGI: Identifying Conditional Generative Models with Example Images

Zhi Zhou, Hao-Zhe Tan, Peng-Xiao Song +1

Generative models have achieved remarkable performance recently, and thus model hubs have emerged. Existing model hubs typically assume basic text matching is sufficient to search…

cs.CV2024

You Only Submit One Image to Find the Most Suitable Generative Model

Zhi Zhou, Lan-Zhe Guo, Peng-Xiao Song +1

Deep generative models have achieved promising results in image generation, and various generative model hubs, e.g., Hugging Face and Civitai, have been developed that enable model…

cs.CL2024★ 16 cited

LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model

Zhi Zhou, Jiang-Xin Shi, Peng-Xiao Song +4

Large language models (LLMs), including both proprietary and open-source models, have showcased remarkable capabilities in addressing a wide range of downstream tasks. Nonetheless,…

◍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.