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Wei Cheng

Wei Cheng has 5 papers in our library, in 2023–2026, most of them on Summarization, Evaluation & benchmarks, Reasoning; often with Haifeng Chen, Bingning Wang, Chunrui Han.

5 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 24 · 137 works · 3,443 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 109 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5728

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 27 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization (2023 · 141 citations)
    Earlier work on large language models for summarization mostly examined generic news summaries. This paper asks how ChatGPT performs in the harder, user-driven setting where a summary must answer a specific query or cover a given aspect. The authors tested it on four public benchmarks from different domains: QMSum…
  2. Baichuan-M1: Pushing the Medical Capability of Large Language Models (2025 · 24 citations)
    General-purpose LLMs often lack depth in medicine, where knowledge is specialized and good training data is scarce.
  3. Step1X-Edit: A Practical Framework for General Image Editing (2025 · 23 citations)
    Proprietary systems such as GPT-4o, Gemini2 Flash and Doubao now handle natural-language image editing very well.
  4. Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning (2026 · 7 citations)
    Reasoning LLMs often keep producing chain-of-thought steps long after the answer is effectively settled. This "overthinking" wastes compute and can even push the model toward a wrong answer. The authors present REFRAIN, a framework that needs no training and decides at inference time when to cut reasoning short. It…
  5. Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation Standards (2026)
    Automatic sign-language recognition (SLR), translation (SLT) and production (SLP) are limited less by modelling and more by data.

All works

6 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

  1. A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetChuxu Zhang et al.2019 · 858 citations
  2. Exploring the Limits of ChatGPT for Query or Aspect-based Text SummarizationarXiv:2302.08081Xianjun Yang, Yan Li, Xinlu Zhang, et al.2023 · 141 citations
  3. Baichuan-M1: Pushing the Medical Capability of Large Language ModelsarXiv:2502.12671Bingning Wang, Haizhou Zhao, Huozhi Zhou, et al.2025 · 24 citations
  4. Step1X-Edit: A Practical Framework for General Image EditingarXiv:2504.17761Shiyu Liu, Yucheng Han, Peng Xing, et al.2025 · 23 citations

 Co-authors here

12 of 16 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 109 times (of the 149,439 papers whose bibliographies we read); 20 citing papers with a page here →.

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