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Weizhi Ma

Weizhi Ma has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining; often with Ante Wang, Chuhan Wu, Linlu Gong.

2 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 29 · 121 works · 3,644 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 75 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #8893

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

🎓Tsinghua UniversityBeijing · China2015–2026 · 110 papersEmploymentcurrent🔬Beijing National Research Center for Information Science and TechnologyBeijing · China2018–2021 · 7 papers🔬State Key Laboratory of Intelligent Technology and SystemsBeijing · China2015–2016 · 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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 2 works

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning (2024 · 20 citations)
    Large language models still have trouble calling external APIs reliably over several turns. Most earlier work trains them with supervised fine-tuning on expert trajectories. That approach treats tool use as plain text generation and ignores that it is a sequence of decisions. StepTool instead casts tool learning as a…
  2. Beyond “I Don't Know”: Evaluating LLM Self-Awareness in Discriminating Data and Model Uncertainty (2026 · 3 citations)
    Most work on LLM abstention treats every refusal the same way. This paper argues that a reliable model also needs to know why it is unsure. It separates two sources of uncertainty. Data uncertainty means the question is ambiguous or missing information, which calls for asking the user to clarify. Model uncertainty…

All works

7 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval ↗International Joint Conference on Artificial Intelligence · no summary yetYunqiu Shao et al.2020 · 209 citations
  2. Graph Heterogeneous Multi-Relational Recommendation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetChong Chen et al.2021 · 198 citations
  3. Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetChong Chen et al.2020 · 175 citations
  4. Make It a Chorus ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetChenyang Wang et al.2020 · 130 citations
  5. Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetChong Chen et al.2020 · 71 citations
  6. StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement LearningACM International Conference on Information and Knowledge Management (CIKM)Yuanqing Yu, Zhefan Wang, Weizhi Ma, et al.2024 · 20 citations
  7. Beyond “I Don't Know”: Evaluating LLM Self-Awareness in Discriminating Data and Model UncertaintyAnnual Meeting of the Association for Computational Linguistics (ACL)Jingyi Ren, Ante Wang, Yunghwei Lai, et al.2026 · 3 citations

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

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