🧑‍🔬 Peng Zhang

🏛️ Affiliations

🎓Tianjin UniversityTianjin · China2026 · 2 paperscurrent🎓Yunnan UniversityKunming · China2026 · 2 paperscurrent🏢Ant GroupHangzhou · China2026 · 1 papercurrent🎓Fudan UniversityShanghai · China2026 · 1 papercurrent🏢China National Petroleum CorporationBeijing · ChinaEmployment · Engineering Technology Department

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences (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 (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 (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 (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 (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 PreferencesACM 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 LLMsAnnual Meeting of the Association for Computational Linguistics (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 TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxuan Lu, Bingsheng Yao, Shao Zhang, et al.2026
4. wangkongqiang@EEUCA 2026: Multimodal Identification of Vaccine Critical Content on Social MediaWorkshop on Event Extraction and Understanding: Challenges and ApplicationsKongqiang Wang, Peng Zhang, Quingli Tan2026
5. wangkongqiang@EEUCA 2026: Understanding Toxic Behavioral Intent in Gaming Chat LogsWorkshop on Event Extraction and Understanding: Challenges and ApplicationsKongqiang Wang, Peng Zhang, Quingli Tan2026
6. SGA-MCTS: Decoupling Planning from Execution via Training-Free Atomic Experience Retrieval ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetXin Xie et al.2026

🤝 Co-authors here

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

• Kongqiang Wang ×2
• Quingli Tan ×2
• Aohan Zeng
• Bingsheng Yao
• Dakuo Wang
• Hanyu Lai
• Hao Yu
• Jie Tang
• Toby Jia-Jun Li
• Xiao Liu
• Yifan Xu
• 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) ×2: ACL 2026 ×2
• Workshop on Event Extraction and Understanding: Challenges and Applications ×2: Workshop on Event Extraction and Understanding: Challenges and Applications 2026 ×2
• ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD): 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 →.

Updated 1 November 2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/peng-zhang/