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Suhang Wang

Suhang Wang has 6 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning, Evaluation & benchmarks; often with Xianren Zhang, Fali Wang, Jiahao Zhang.

6 papers in our library · 2024–2026

OpenAlex · h-index 1 · 6 works · 2 citations OpenAlex, 2026-10-14

📄 6 works in our library · 🔗 Cited 55 times in our library · ⭐ Paper Stars ranking: #6863

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

🎓Pennsylvania State UniversityState College · United States2026 · 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.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 6 worksArts and Humanities · 4 worksArtificial Intelligence · 6 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 2 worksInformation Systems · 2 works

🧭 Topics 5Research subjects and languages the work is about.Language models & pretraining · 4 worksReasoning · 3 worksEvaluation & benchmarks · 1 workVision & language · 1 workInformation retrieval & search · 1 work

 Works by year

2020s

20265 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs (2024 · 89 citations)
    LLMs often hallucinate on knowledge-heavy questions. Standard retrieval augmentation treats each document as a separate unit, so it misses knowledge carried by links between texts, such as citations, co-purchases or legal references. Turning whole neighbourhoods into text is also impractical, because subgraphs grow…
  2. Query-Efficient Agentic Graph Extraction Attacks on GraphRAG Systems (2026 · 4 citations)
    GraphRAG systems turn document collections into entity–relation knowledge graphs to support multi-hop reasoning.
  3. 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.
  4. 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).
  5. ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers (2026 · 1 citation)
    LLMs that call tools cannot fit very large tool inventories into their context window, so an external retriever must pick candidate tools.
  6. 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…

 Co-authors here

12 of 19 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 55 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated

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