Yike Wang

According to our database, Yike Wang authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

EvoLM: Self-Evolving Language Models through Co-Evolved Discriminative Rubrics.

Shuyue Stella Li, Rui Xin, Teng Xiao, Yike Wang, Rulin Shao, Zoey Hao, Melanie Sclar, Sewoong Oh, Faeze Brahman, Pang Wei Koh, Yulia Tsvetkov

CoRR, May, 2026

Small Reward Models via Backward Inference.

Yike Wang, Faeze Brahman, Shangbin Feng, Teng Xiao, Hannaneh Hajishirzi, Yulia Tsvetkov

CoRR, February, 2026

MentorCollab: Selective Large-to-Small Inference-Time Guidance for Efficient Reasoning.

Haojin Wang, Yike Wang, Shangbin Feng, Hannaneh Hajishirzi, Yulia Tsvetkov

CoRR, February, 2026

MoCo: A One-Stop Shop for Model Collaboration Research.

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

CoRR, January, 2026

2025

Don't Throw Away Your Pretrained Model.

Shangbin Feng, Wenhao Yu, Yike Wang, Hongming Zhang, Yulia Tsvetkov, Dong Yu

CoRR, October, 2025

Data Swarms: Optimizable Generation of Synthetic Evaluation Data.

Shangbin Feng, Yike Wang, Weijia Shi, Yulia Tsvetkov

CoRR, June, 2025

ScienceMeter: Tracking Scientific Knowledge Updates in Language Models.

Yike Wang, Shangbin Feng, Yulia Tsvetkov, Hannaneh Hajishirzi

CoRR, May, 2025

When One LLM Drools, Multi-LLM Collaboration Rules.

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

CoRR, February, 2025

Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems.

Shangbin Feng, Zifeng Wang, Palash Goyal, Yike Wang, Weijia Shi, Huang Xia, Hamid Palangi, Luke Zettlemoyer, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence.

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Teaching LLMs to Abstain across Languages via Multilingual Feedback.

Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration.

Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Resolving Knowledge Conflicts in Large Language Models.

Yike Wang, Shangbin Feng, Heng Wang, Weijia Shi, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov

CoRR, 2023

Twitter's Algorithm: Amplifying Anger, Animosity, and Affective Polarization.

Smitha Milli, Micah Carroll, Sashrika Pandey, Yike Wang, Anca D. Dragan

CoRR, 2023

Boosting One-Stage Multi Object Tracking with Attention Learning.

Ying Cui, Hang Zheng, Yueqian Quan, Xiang Pan, Yike Wang, Junxia Li

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023