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.
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
Affiliations
Fields, topics and concepts
📚 Shelves 10The field of science this work belongs to (OpenAlex fields).Computer Science · 5 worksArts and Humanities · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 3 worksMedicine · 1 workHealth Informatics · 1 workDevelopmental and Educational Psychology · 1 workHuman-Computer Interaction · 1 workPsychology · 1 work
🧭 Topics 3Research subjects and languages the work is about.Summarization · 1 workReasoning · 1 workEvaluation & benchmarks · 1 work
Works by year
2020s
Papers
- 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… - 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. - 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. - 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… - 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
- 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
- Exploring the Limits of ChatGPT for Query or Aspect-based Text SummarizationarXiv:2302.08081Xianjun Yang, Yan Li, Xinlu Zhang, et al.2023 · 141 citations
- Baichuan-M1: Pushing the Medical Capability of Large Language ModelsarXiv:2502.12671Bingning Wang, Haizhou Zhao, Huozhi Zhou, et al.2025 · 24 citations
- Step1X-Edit: A Practical Framework for General Image EditingarXiv:2504.17761Shiyu Liu, Yucheng Han, Peng Xing, et al.2025 · 23 citations
- Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Renliang Sun, Wei Cheng, Dawei Li, et al.2026 · 7 citations
- Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation StandardsAnnual Meeting of the Association for Computational Linguistics (ACL)Yiming Ni, Zhi-Qi Cheng, Jiayu Li, et al.2026
Co-authors here
- Haifeng Chen ×2
- Bingning Wang
- Chunrui Han
- Da Pan
- Dawei Li
- Jiayu Li
- Mingyu Xu
- Peng Xing
- Renliang Sun
- Rui Wang
- Wei Wang
- Xiangrong Zeng
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026 ×2
- Proceedings of the AAAI Conference on Artificial Intelligence
Cited by
Updated
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