Yiran Zhao

According to our database, Yiran Zhao authored at least 20 papers between 2023 and 2025.

Collaborative distances:

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

2025

The Emergence of Abstract Thought in Large Language Models Beyond Any Language.

Yuxin Chen, Yiran Zhao, Yang Zhang, An Zhang, Kenji Kawaguchi, Shafiq Joty, Junnan Li, Tat-Seng Chua, Michael Qizhe Shieh, Wenxuan Zhang

CoRR, June, 2025

Disentangling Language and Culture for Evaluating Multilingual Large Language Models.

Jiahao Ying, Wei Tang, Yiran Zhao, Yixin Cao, Yu Rong, Wenxuan Zhang

CoRR, May, 2025

The Rise of Parameter Specialization for Knowledge Storage in Large Language Models.

Yihuai Hong, Yiran Zhao, Wei Tang, Yang Deng, Yu Rong, Wenxuan Zhang

CoRR, May, 2025

Unnatural Languages Are Not Bugs but Features for LLMs.

Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J. Zico Kolter, Michael Qizhe Shieh

CoRR, March, 2025

Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers.

Yiran Zhao, Chaoqun Liu, Yue Deng, Jiahao Ying, Mahani Aljunied, Zhaodonghui Li, Lidong Bing, Hou Pong Chan, Yu Rong, Deli Zhao, Wenxuan Zhang

CoRR, March, 2025

AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging.

Yiran Zhao, Wenxuan Zhang, Huiming Wang, Kenji Kawaguchi, Lidong Bing

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models.

Chaoqun Liu, Wenxuan Zhang, Yiran Zhao, Anh Tuan Luu, Lidong Bing

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron.

Yiran Zhao, Wenxuan Zhang, Yuxi Xie, Anirudh Goyal, Kenji Kawaguchi, Michael Shieh

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Pruning General Large Language Models into Customized Expert Models.

Yiran Zhao, Guizhen Chen, Kenji Kawaguchi, Lidong Bing, Wenxuan Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Disentangling Language and Culture for Evaluating Multilingual Large Language Models.

Jiahao Ying, Wei Tang, Yiran Zhao, Yixin Cao, Yu Rong, Wenxuan Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages.

Wenxuan Zhang, Hou Pong Chan, Yiran Zhao, Mahani Aljunied, Jianyu Wang, Chaoqun Liu, Yue Deng, Zhiqiang Hu, Weiwen Xu, Yew Ken Chia, Xin Li, Lidong Bing

CoRR, 2024

Accelerating Greedy Coordinate Gradient via Probe Sampling.

Yiran Zhao, Wenyue Zheng, Tianle Cai, Xuan Long Do, Kenji Kawaguchi, Anirudh Goyal, Michael Shieh

CoRR, 2024

Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling.

Yiran Zhao, Wenyue Zheng, Tianle Cai, Do Xuan Long, Kenji Kawaguchi, Anirudh Goyal, Michael Qizhe Shieh

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

How do Large Language Models Handle Multilingualism?

Yiran Zhao, Wenxuan Zhang, Guizhen Chen, Kenji Kawaguchi, Lidong Bing

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Reasoning Robustness of LLMs to Adversarial Typographical Errors.

Esther Gan, Yiran Zhao, Liying Cheng, Yancan Mao, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan, Michael Shieh

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

Prompt Optimization via Adversarial In-Context Learning.

Do Xuan Long, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Shieh, Junxian He

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

2023

Prompt Optimization via Adversarial In-Context Learning.

Xuan Long Do, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Qizhe Xie, Junxian He

CoRR, 2023

Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding.

Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, Xu Zhao, Min-Yen Kan, Junxian He, Qizhe Xie

CoRR, 2023

Self-Evaluation Guided Beam Search for Reasoning.

Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, James Xu Zhao, Min-Yen Kan, Junxian He, Michael Qizhe Xie

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FELM: Benchmarking Factuality Evaluation of Large Language Models.

Shiqi Chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu, Junxian He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023