Elamur Research⌕
☰
home / authors / Yike Wang

Yike Wang

Yike Wang has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining; often with Shangbin Feng, Weijia Shi, Alisa Liu.

2 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 12 · 65 works · 777 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 65 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #7511

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

🎓University of WashingtonSeattle · United States2024–2026 · 8 paperscurrent🎓Zhejiang UniversityHangzhou · China2019–2026 · 4 paperscurrent🎓Northwest Normal UniversityLanzhou · China2022–2023 · 9 papers🎓Shanghai UniversityShanghai · China2020–2024 · 6 papers🎓University of California, BerkeleyBerkeley · United States2023–2024 · 4 papers🎓London School of Economics and Political ScienceLondon · United Kingdom2019–2024 · 3 papers🎓China West Normal UniversityNanchong · China2025 · 2 papers🎓Chongqing Technology and Business UniversityChongqing · China2024–2025 · 2 papers🎓Dalian University of TechnologyDalian · China2021–2025 · 2 papers🎓Wenzhou UniversityWenzhou · China2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 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 5The 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 work

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

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Resolving Knowledge Conflicts in Large Language Models (2023 · 48 citations)
    When LLMs receive retrieved or prompted text, that text often contradicts what they absorbed during pretraining.
  2. When One LLM Drools, Multi-LLM Collaboration Rules (2026 · 14 citations)
    This position paper by Feng et al. (ACL 2026) argues that a single general-purpose LLM cannot reliably handle complex, context-dependent, or subjective settings. It contributes no new dataset or model. Instead, it makes a conceptual case that any one model leaves gaps on three fronts. It misses parts of real-world…

All works

5 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. Resolving Knowledge Conflicts in Large Language ModelsarXiv:2310.00935Yike Wang, Shangbin Feng, Heng Wang, et al.2023 · 48 citations
  2. When One LLM Drools, Multi-LLM Collaboration RulesAnnual Meeting of the Association for Computational Linguistics (ACL)Shangbin Feng, Wenxuan Ding, Alisa Liu, et al.2026 · 14 citations
  3. Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems ↗neural information processing systems · no summary yetShangbin Feng et al.2025 · 7 citations
  4. MoCo: A One-Stop Shop for Model Collaboration Research ↗arXiv (Cornell University) · no summary yetShangbin Feng et al.2026 · 3 citations
  5. Scaling Participation in Modular AI Systems ↗arXiv (Cornell University) · no summary yetShangbin Feng et al.2026

 Co-authors here

12 of 15 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 65 times (of the 149,439 papers whose bibliographies we read); 16 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/yike-wang/