---
title: "Peng Zhang · Tianjin University — author profile and papers"
description: "Peng Zhang, Tianjin University: 5 papers on Elamur Research (2023–2026), h-index 1 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/peng-zhang/"
---
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# Peng Zhang

Peng Zhang has 5 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Kongqiang Wang](https://md.research.elamur.ai/free/en/authors/kongqiang-wang/), [Quingli Tan](https://md.research.elamur.ai/free/en/authors/quingli-tan/), [Aohan Zeng](https://md.research.elamur.ai/free/en/authors/aohan-zeng/).

5 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5139838805) · [ORCID](https://orcid.org/0009-0007-5394-8478) · [**h-index 1**](https://openalex.org/authors/A5139838805) · [7 works](https://openalex.org/works?filter=author.id:A5139838805) · [2 citations](https://openalex.org/works?filter=author.id:A5139838805&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/peng-zhang/#papers) · [🔗 Cited 53 times in our library](https://md.research.elamur.ai/free/en/authors/peng-zhang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6819](https://md.research.elamur.ai/free/en/paper-stars/page/69/#star-6819)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Peng+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Peng+Zhang) · [dblp](https://dblp.org/search?q=Peng+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Peng+Zhang)

## Affiliations

[🎓**Tianjin University** Tianjin · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/tianjin-university/) · [🎓**Yunnan University** Kunming · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/yunnan-university/) · [🏢**Ant Group** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/ant-group/) · [🎓**Fudan University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🏢**China National Petroleum Corporation** Beijing · China Employment · Engineering Technology Department](https://ror.org/05269d038)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

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

📚 Shelves 12 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Electrical and Electronic Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/electrical-and-electronic-engineering/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Communication · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/communication/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/)

🧭 Topics 6 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Inverted index · 1 work](https://md.research.elamur.ai/free/en/concepts/inverted-index/)

## Works by year

### 2020s

[**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/peng-zhang/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/peng-zhang/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences](https://md.research.elamur.ai/free/en/papers/liu-2023-webglm-efficient-web-enhanced/)** *(2023 · 95 citations)* WebGLM tackles the cost and latency of web-augmented question answering in the style of OpenAI's WebGPT, which needs expensive expert annotations and slow multi-step browser interaction.
2. **[ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMs](https://md.research.elamur.ai/free/en/papers/meng-2026-arcquant-boosting-nvfp4-quantization-augmented/)** *(2026 · 5 citations)* The paper tackles accuracy loss in 4-bit weight-and-activation (W4A4) post-training quantization of LLMs in the NVFP4 format, which NVIDIA Blackwell GPUs support natively.
3. **[LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific Tasks](https://md.research.elamur.ai/free/en/papers/lu-2026-llms-now-fine-tuning-later/)** *(2026)* Real-world domain-specific deployments, such as clinical or legal work, face two problems. Expert labels are scarce, and the incoming data keeps changing over time (data drift). Active Learning (AL) can steadily improve a small model with expert labels, but each drift returns it to a weak cold-start state. LLMs work…
4. **[wangkongqiang@EEUCA 2026: Multimodal Identification of Vaccine Critical Content on Social Media](https://md.research.elamur.ai/free/en/papers/wang-2026-wangkongqiang-eeuca-2026-multimodal-identification/)** *(2026)* This system paper describes a team's submission to the EEUCA 2026 shared task, which concerns detecting vaccine-critical material in social media posts using multiple modalities.
5. **[wangkongqiang@EEUCA 2026: Understanding Toxic Behavioral Intent in Gaming Chat Logs](https://md.research.elamur.ai/free/en/papers/wang-2026-wangkongqiang-eeuca-2026-understanding-toxic/)** *(2026)* This system paper describes a team's entry in the EEUCA 2026 shared task on detecting toxic intent in multiplayer game chat.

## 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. **[WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences](https://md.research.elamur.ai/free/en/papers/liu-2023-webglm-efficient-web-enhanced/) [ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/)**Xiao Liu, Hanyu Lai, Hao Yu, et al.*2023 · 95 citations*
2. **[ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMs](https://md.research.elamur.ai/free/en/papers/meng-2026-arcquant-boosting-nvfp4-quantization-augmented/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haoqian Meng, Yilun Luo, Yafei Zhao, et al.*2026 · 5 citations*
3. **[LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific Tasks](https://md.research.elamur.ai/free/en/papers/lu-2026-llms-now-fine-tuning-later/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxuan Lu, Bingsheng Yao, Shao Zhang, et al.*2026*
4. **[wangkongqiang@EEUCA 2026: Multimodal Identification of Vaccine Critical Content on Social Media](https://md.research.elamur.ai/free/en/papers/wang-2026-wangkongqiang-eeuca-2026-multimodal-identification/) [Workshop on Event Extraction and Understanding: Challenges and Applications](https://md.research.elamur.ai/free/en/venues/eeuca/)**Kongqiang Wang, Peng Zhang, Quingli Tan*2026*
5. **[wangkongqiang@EEUCA 2026: Understanding Toxic Behavioral Intent in Gaming Chat Logs](https://md.research.elamur.ai/free/en/papers/wang-2026-wangkongqiang-eeuca-2026-understanding-toxic/) [Workshop on Event Extraction and Understanding: Challenges and Applications](https://md.research.elamur.ai/free/en/venues/eeuca/)**Kongqiang Wang, Peng Zhang, Quingli Tan*2026*
6. **[SGA-MCTS: Decoupling Planning from Execution via Training-Free Atomic Experience Retrieval ↗](https://aclanthology.org/2026.findings-acl.60/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Xin Xie et al.*2026*

## Co-authors here

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

- [Kongqiang Wang](https://md.research.elamur.ai/free/en/authors/kongqiang-wang/) ×2
- [Quingli Tan](https://md.research.elamur.ai/free/en/authors/quingli-tan/) ×2
- [Aohan Zeng](https://md.research.elamur.ai/free/en/authors/aohan-zeng/)
- [Bingsheng Yao](https://md.research.elamur.ai/free/en/authors/bingsheng-yao/)
- [Dakuo Wang](https://md.research.elamur.ai/free/en/authors/dakuo-wang/)
- [Hanyu Lai](https://md.research.elamur.ai/free/en/authors/hanyu-lai/)
- [Hao Yu](https://md.research.elamur.ai/free/en/authors/hao-yu/)
- [Jie Tang](https://md.research.elamur.ai/free/en/authors/jie-tang/)
- [Toby Jia-Jun Li](https://md.research.elamur.ai/free/en/authors/toby-jia-jun-li/)
- [Xiao Liu](https://md.research.elamur.ai/free/en/authors/xiao-liu/)
- [Yifan Xu](https://md.research.elamur.ai/free/en/authors/yifan-xu/)
- [Yisi Sang](https://md.research.elamur.ai/free/en/authors/yisi-sang/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2
- [Workshop on Event Extraction and Understanding: Challenges and Applications](https://md.research.elamur.ai/free/en/venues/eeuca/) ×2: [Workshop on Event Extraction and Understanding: Challenges and Applications 2026](https://md.research.elamur.ai/free/en/venues/eeuca/2026/) ×2
- [ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/): [KDD 2023](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2023/)
- Findings of the Association for Computational Linguistics: ACL 2026

## Cited by

Papers of our library cite their works 53 times (of the 149,439 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/peng-zhang/cited-by/).

Updated 1 November 2026