🧑‍🔬 Xianren Zhang

🏛️ Affiliations

🎓Pennsylvania State UniversityState College · United States2024–2026 · 6 paperscurrent

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. A Functionality-Grounded Benchmark for Evaluating Web Agents in E-commerce Domains (2026 · 2 citations)
   Existing e-commerce benchmarks for web agents (WebShop, WebVoyager, DeepShop and others) mostly test product search. They also only check whether a task was finished, not whether the agent caused damage along the way. This paper presents Amazon-Bench, built on the live Amazon.com site.
2. Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models (2026 · 1 citation)
   The paper asks whether someone holding only an image, with no caption, can tell if that image was in the training data of a large vision-language model (LVLM).
3. MEVER: Multi-Modal and Explainable Claim Verification with Graph-based Evidence Retrieval (2026 · 1 citation)
   MEVER targets claim verification when the supporting evidence mixes text and images, such as a scientific chart with its caption. It also aims to produce a readable justification for each verdict, which most prior systems either skip or handle for text only. The model has three connected parts:
4. Graph-Assisted Large Language Models: A Perspective on Mitigating Intrinsic Limitations (2026)
   This survey asks how graph structures can offset three built-in weaknesses of large language models. The first is knowledge: static training leads to outdated facts, errors, and unwanted memorization. The second is reasoning: token-by-token generation produces linear chains that cannot branch or backtrack. The third…

All works

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness ↗arXiv:2411.03350 · no summary yetFali Wang et al.2024 · 159 citations
2. A Functionality-Grounded Benchmark for Evaluating Web Agents in E-commerce DomainsAnnual Meeting of the Association for Computational Linguistics (ACL)Xianren Zhang, Shreyas Prasad, Di Wang, et al.2026 · 2 citations
3. Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zongyu Wu, Minhua Lin, Zhiwei Zhang, et al.2026 · 1 citation
4. MEVER: Multi-Modal and Explainable Claim Verification with Graph-based Evidence RetrievalConference of the European Chapter of the Association for Computational Linguistics (EACL)Delvin Ce Zhang, Suhan Cui, Zhelin Chu, et al.2026 · 1 citation
5. Graph-Assisted Large Language Models: A Perspective on Mitigating Intrinsic LimitationsFindings of the Association for Computational LinguisticsHaitong Luo, Fali Wang, Weiyao Zhang, et al.2026

🤝 Co-authors here

11 co-authors with a page, the most papers together first.

• Suhang Wang ×3
• Fali Wang ×2
• Minhua Lin ×2
• Zhiwei Zhang ×2
• Di Wang
• Dongwon Lee
• Hui Liu
• Jiahao Zhang
• Qi He
• Xianfeng Tang
• Xiang Zhang

Venues

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

• Conference of the European Chapter of the Association for Computational Linguistics (EACL) ×2: EACL 2026 ×2
• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026

🔗 Cited by

Papers of our library cite their works 63 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated 1 November 2026

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