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Yike Wang 0002
Person information
- affiliation: University of California, Berkeley, CA, USA
Other persons with the same name
- Yike Wang — disambiguation page
- Yike Wang 0001
— Northwest Normal University, Lanzhou, China - Yike Wang 0003
— Shanghai University, Shanghai, China - Yike Wang 0004
— Central University of Finance and Economics, Beijing, China - Yike Wang 0005 — Beijing University of Posts and Telecommunications, State Key Laboratory of Information Photonics and Optical Communications, China
- Yike Wang 0006 — London School ofEconomics and Political Science, UK
- Yike Wang 0007 — Ningbo University, Faculty of Electrical Engineering and Computer Science, China
- Yike Wang 0008 — Dalian University of Technology, China
- Yike Wang 0009
— University of Illinois at Urbana-Champaign, Beckman Institute for Advanced Science and Technology, Urbana, IL, USA - Yike Wang 0010
— Lanzhou University of Technology, Lanzhou, Gansu, China - Yike Wang 0011 — Hangzhou Polytechnic, College of Tourism & Management, China
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2020 – today
- 2026
[c7]Shangbin Feng, Yike Wang, Weijia Shi, Yulia Tsvetkov:
Data Swarms: Optimizable Generation of Synthetic Evaluation Data. ACL (Findings) 2026: 12139-12157
[c6]Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang, Weijia Shi, Yike Wang, Shannon Zejiang Shen, Xiaochuang Han, Hunter Lang, Chen-Yu Lee, Tomas Pfister, Yejin Choi, Yulia Tsvetkov:
When One LLM Drools, Multi-LLM Collaboration Rules. ACL (1) 2026: 17048-17063
[i15]Shangbin Feng, Yuyang Bai, Ziyuan Yang, Yike Wang, Zhaoxuan Tan, Jiajie Yan, Zhen Lei, Wenxuan Ding, Weijia Shi, Haojin Wang, Zhenting Qi, Yuru Jiang, Heng Wang, Chengsong Huang, Yu Fei, Jihan Yao, Yilun Du, Luke Zettlemoyer, Yejin Choi, Yulia Tsvetkov:
MoCo: A One-Stop Shop for Model Collaboration Research. CoRR abs/2601.21257 (2026)
[i14]Haojin Wang, Yike Wang, Shangbin Feng, Hannaneh Hajishirzi, Yulia Tsvetkov:
MentorCollab: Selective Large-to-Small Inference-Time Guidance for Efficient Reasoning. CoRR abs/2602.05307 (2026)
[i13]Yike Wang, Faeze Brahman, Shangbin Feng, Teng Xiao, Hannaneh Hajishirzi, Yulia Tsvetkov:
Small Reward Models via Backward Inference. CoRR abs/2602.13551 (2026)
[i12]Shuyue Stella Li, Rui Xin, Teng Xiao, Yike Wang, Rulin Shao, Zoey Hao, Melanie Sclar, Sewoong Oh, Faeze Brahman, Pang Wei Koh, Yulia Tsvetkov:
EvoLM: Self-Evolving Language Models through Co-Evolved Discriminative Rubrics. CoRR abs/2605.03871 (2026)
[i11]Shangbin Feng, Yike Wang, Weijia Shi, Luke Zettlemoyer, Yejin Choi, Yulia Tsvetkov:
Scaling Participation in Modular AI Systems. CoRR abs/2606.07812 (2026)- 2025
[c5]Shangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi, Lesly Miculicich, Achin Kulshrestha, Nathalie Rauschmayr, Yejin Choi, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister:
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. ICML 2025
[c4]Shangbin Feng, Zifeng Wang, Palash Goyal, Yike Wang, Weijia Shi, Huang Xia, Hamid Palangi, Luke Zettlemoyer, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister:
Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems. NeurIPS 2025
[i10]Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang, Weijia Shi, Yike Wang, Zejiang Shen, Xiaochuang Han, Hunter Lang, Chen-Yu Lee, Tomas Pfister, Yejin Choi, Yulia Tsvetkov:
When One LLM Drools, Multi-LLM Collaboration Rules. CoRR abs/2502.04506 (2025)
[i9]Shangbin Feng, Zifeng Wang, Palash Goyal, Yike Wang, Weijia Shi, Huang Xia, Hamid Palangi, Luke Zettlemoyer, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister:
Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems. CoRR abs/2502.04510 (2025)
[i8]Yike Wang, Shangbin Feng, Yulia Tsvetkov, Hannaneh Hajishirzi:
ScienceMeter: Tracking Scientific Knowledge Updates in Language Models. CoRR abs/2505.24302 (2025)
[i7]Shangbin Feng, Yike Wang, Weijia Shi, Yulia Tsvetkov:
Data Swarms: Optimizable Generation of Synthetic Evaluation Data. CoRR abs/2506.00741 (2025)
[i6]Shangbin Feng, Wenhao Yu, Yike Wang, Hongming Zhang, Yulia Tsvetkov, Dong Yu:
Don't Throw Away Your Pretrained Model. CoRR abs/2510.09913 (2025)- 2024
[c3]Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov:
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. ACL (1) 2024: 14664-14690
[c2]Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov:
Teaching LLMs to Abstain across Languages via Multilingual Feedback. EMNLP 2024: 4125-4150
[i5]Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov:
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. CoRR abs/2402.00367 (2024)
[i4]Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov:
Teaching LLMs to Abstain across Languages via Multilingual Feedback. CoRR abs/2406.15948 (2024)
[i3]Shangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi, Lesly Miculicich, Achin Kulshrestha, Nathalie Rauschmayr, Yejin Choi, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister:
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. CoRR abs/2410.11163 (2024)- 2023
[c1]Ying Cui, Hang Zheng, Yueqian Quan, Xiang Pan, Yike Wang, Junxia Li:
Boosting One-Stage Multi Object Tracking with Attention Learning. PRCV (12) 2023: 458-469
[i2]Smitha Milli, Micah Carroll, Sashrika Pandey, Yike Wang, Anca D. Dragan:
Twitter's Algorithm: Amplifying Anger, Animosity, and Affective Polarization. CoRR abs/2305.16941 (2023)
[i1]Yike Wang, Shangbin Feng, Heng Wang, Weijia Shi, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov:
Resolving Knowledge Conflicts in Large Language Models. CoRR abs/2310.00935 (2023)
Coauthor Index

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last updated on 2026-07-14 00:54 CEST by the dblp team
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