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Ming Zhang

9 papers hereh-index 5128 citations11 works total

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

author position
  • first author1
  • middle author5
  • last author1

Across the 7 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.IR3
  • cs.AI2
same name
  • Ming Zhang — 30 papers, h 11
  • Ming Zhang — 21 papers, h 21
  • Ming Zhang — 9 papers, h 3
  • Ming Zhang — 8 papers, h 1
  • Ming Zhang — 7 papers, h 5
  • Ming Zhang — 7 papers, h 6

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

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

LLMEval-Logic: A Solver-Verified Chinese Benchmark for Logical Reasoning of LLMs with Adversarial Hardening

Ming Zhang, Qiyuan Peng, Yinxi Wei +13

Evaluating large language models (LLMs) on natural-language logical reasoning is essential because rule-governed tasks require conclusions to follow strictly from stated premises.…

cs.CL2026

SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models

Yiyang Gu, Junwei Yang, Junyu Luo +15

Large language models (LLMs) are increasingly applied to scientific research, yet existing evaluations often fail to reflect the fine-grained capabilities required in practice. Mos…

cs.CL2025

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs

Yangning Li, Weizhi Zhang, Yuyao Yang +17

Retrieval-Augmented Generation (RAG) lifts the factuality of Large Language Models (LLMs) by injecting external knowledge, yet it falls short on problems that demand multi-step inf…

cs.CL2025

FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation

Junyu Luo, Zhizhuo Kou, Liming Yang +10

Multimodal Large Language Models (MLLMs) have experienced rapid development in recent years. However, in the financial domain, there is a notable lack of effective and specialized…

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