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researcher

Z. Wang

17 papers hereh-index 13527 citations22 works total

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

author position
  • first author2
  • middle author13

Across the 15 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CL14
  • cs.AI1
  • cs.CR1
  • cs.PL1
same name
  • Z. Wang — 496 papers
  • Z. Wang — 427 papers
  • Z. Wang — 307 papers, h 50
  • Z. Wang — 259 papers
  • Z. Wang — 238 papers
  • Z. Wang — 224 papers

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
20232025
most citedCOIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning

5 citations · 18 across the 17 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CL2025

ACADREASON: Exploring the Limits of Reasoning Models with Academic Research Problems

Xin Gui, King Zhu, JinCheng Ren +17

In recent years, the research focus of large language models (LLMs) and agents has shifted increasingly from demonstrating novel capabilities to complex reasoning and tackling chal…

cs.CR2025

CryptoX : Compositional Reasoning Evaluation of Large Language Models

Jiajun Shi, Chaoren Wei, Liqun Yang +7

The compositional reasoning capacity has long been regarded as critical to the generalization and intelligence emergence of large language models LLMs. However, despite numerous re…

cs.CL2025★ 2 cited

A Comprehensive Survey on Long Context Language Modeling

Jiaheng Liu, Dawei Zhu, Zhiqi Bai +34

Efficient processing of long contexts has been a persistent pursuit in Natural Language Processing. With the growing number of long documents, dialogues, and other textual data, it…

cs.CL2025

OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training

Yijiong Yu, Ziyun Dai, Zekun Wang +3

Large language models (LLMs) have demonstrated remarkable capabilities, but their success heavily relies on the quality of pretraining corpora. For Chinese LLMs, the scarcity of hi…

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