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Zhihan Liu

Zhihan Liu has 3 papers in our library, in 2023–2026; often with Bo Liu, Jian Xie, Kai Zhang.

3 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 10 · 63 works · 575 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 34 times in our library · ⭐ Paper Stars ranking: #10156

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

🎓Cornell UniversityIthaca · United States2024–2026 · 2 paperscurrent🎓Beijing University of Posts and TelecommunicationsBeijing · China2009–2018 · 15 papers🔬State Key Laboratory of Networking and Switching TechnologyBeijing · China2009–2018 · 14 papers🎓Northwestern UniversityEvanston · United States2023–2025 · 8 papers🎓Harbin Engineering UniversityHarbin · China2022–2024 · 6 papers🎓Nanchang Hangkong UniversityNanchang · China2022–2023 · 5 papers🎓Dalian University of TechnologyDalian · China2025 · 4 papers🎓Wuhan University of Science and TechnologyWuhan · China2023–2025 · 3 papers🎓University of MichiganAnn Arbor · United States2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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).Artificial Intelligence · 3 worksComputer Science · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksDecision Sciences · 1 workManagement Science and Operations Research · 1 work

 Works by year

2020s

20261 paper20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Agent Learning via Early Experience (2025 · 24 citations)
    Reinforcement learning is hard to apply to language agents when environments give no verifiable reward, as on websites, or demand long, costly multi-turn rollouts.
  2. Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency (2023 · 13 citations)
    LLM agents can reason well, but they still struggle to turn that reasoning into good actions with few environment interactions.
  3. Detecting RAG Extraction Attack via Dual-Path Runtime Integrity Game (2026)
    RAG systems can leak proprietary knowledge-base content when attackers use adaptive, iterative prompts to make the model reproduce retrieved chunks.

 Co-authors here

8 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 34 times (of the 149,439 papers whose bibliographies we read); 18 citing papers with a page here →.

Updated

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