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Zihao Wang

Zihao Wang has 4 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning, Information retrieval & search; often with Anji Liu, Xiaojian Ma, Yitao Liang.

4 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 3 · 9 works · 52 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 166 times in our library · ⭐ Paper Stars ranking: #5492

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

🎓Nanyang Technological UniversitySingapore · Singapore2025–2026 · 13 paperscurrent🎓Indiana University BloomingtonBloomington · United States2021–2026 · 13 papers🎓Indiana UniversityBloomington · United States2021–2025 · 6 papers🎓Beijing Jiaotong UniversityBeijing · China2019–2021 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 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 · 4 worksArtificial Intelligence · 4 worksArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 workSoftware · 1 work

🧭 Topics 3Research subjects and languages the work is about.Information retrieval & search · 1 workReasoning · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents (2023 · 174 citations)
    The paper tackles task planning for embodied agents in open-world settings such as Minecraft. Two problems make LLM planners fail there. Tasks need long chains of dependent sub-goals, so a plan written in one pass is often wrong. Plans also ignore which of several alternative sub-goals the agent can reach most easily…
  2. RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation (2024 · 46 citations)
    Large language models that reason step by step often produce intermediate thoughts containing invented facts.
  3. Activation-Guided Local Editing for Jailbreaking Attacks (2026 · 1 citation)
    The paper addresses the weaknesses of current jailbreak techniques used to red-team aligned LLMs. Token-level attacks tend to yield gibberish suffixes that filters catch easily and that rarely transfer to other models. Prompt-level attacks depend on manual crafting or costly iterative search. The authors present…
  4. Hey, That's My Data! Token-Only Dataset Inference in Large Language Models (2026 · 1 citation)
    Owners who suspect an LLM was trained on their proprietary or copyrighted text usually need log-probabilities to test this. Many commercial APIs, however, return only greedy top-1 tokens. The authors address this token-only setting with CatShift, which uses catastrophic forgetting as an auditing signal.

 Co-authors here

9 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 166 times (of the 149,439 papers whose bibliographies we read); 33 citing papers with a page here →.

Updated

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