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Hua Zhou

13 papers hereh-index 51.2k citations15 works total

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

author position
  • first author1
  • middle author4
  • last author8

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CL6
  • cs.AI2
  • cs.CV2
  • cs.LG2
  • cs.IR1
same name
  • Hua Zhou — 23 papers, h 23
  • Hua Zhou — 15 papers, h 53
  • Hua Zhou — 12 papers, h 12
  • Hua Zhou — 12 papers, h 4
  • Hua Zhou — 11 papers, h 3
  • Hua Zhou — 10 papers, h 23

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
20242026
most citedMiniCPM-V: A GPT-4V Level MLLM on Your Phone

26 citations · 28 across the 12 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CL2025

Rethinking Supervised Fine-Tuning: Emphasizing Key Answer Tokens for Improved LLM Accuracy

Xiaofeng Shi, Qian Kou, Yuduo Li +1

With the rapid advancement of Large Language Models (LLMs), the Chain-of-Thought (CoT) component has become significant for complex reasoning tasks. However, in conventional Superv…

cs.CL2025

Design, Results and Industry Implications of the World's First Insurance Large Language Model Evaluation Benchmark

Hua Zhou, Bing Ma, Yufei Zhang +1

This paper comprehensively elaborates on the construction methodology, multi-dimensional evaluation system, and underlying design philosophy of CUFEInse v1.0. Adhering to the princ…

cs.IR2025

SPAR: Scholar Paper Retrieval with LLM-based Agents for Enhanced Academic Search

Xiaofeng Shi, Yuduo Li, Qian Kou +3

Recent advances in large language models (LLMs) have opened new opportunities for academic literature retrieval. However, existing systems often rely on rigid pipelines and exhibit…

cs.AI2025

SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation

Xiaofeng Shi, Qian Kou, Yuduo Li +5

The rapid growth of scientific literature demands robust tools for automated survey-generation. However, current large language model (LLM)-based methods often lack in-depth analys…

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