Ruihan Jin

According to our database, Ruihan Jin authored at least 12 papers between 2024 and 2026.

Collaborative distances:

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

2026

Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles.

Jinyang Wu, Guocheng Zhai, Ruihan Jin, Yuhao Shen, Zhengxi Lu, Fan Zhang, Haoran Luo, Zheng Lian, Zhengqi Wen, Jianhua Tao

CoRR, May, 2026

AmbiBench: Benchmarking Mobile GUI Agents Beyond One-Shot Instructions in the Wild.

Jiazheng Sun, Mingxuan Li, Yingying Zhang, Jiayang Niu, Yachen Wu, Ruihan Jin, Shuyu Lei, Pengrongrui Tan, Zongyu Zhang, Ruoyi Wang, Jiachen Yang, Boyu Yang, Jiacheng Liu, Xin Peng

CoRR, February, 2026

Exploring Knowledge Purification in Multi-Teacher Knowledge Distillation for LLMs.

Ruihan Jin, Pengpeng Shao, Zhengqi Wen, Jinyang Wu, Mingkuan Feng, Shuo Yang, Chu Yuan Zhang, Jianhua Tao

CoRR, February, 2026

Atlas: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex Reasoning.

Jinyang Wu, Guocheng Zhai, Ruihan Jin, Jiahao Yuan, Yuhao Shen, Shuai Zhang, Zhengqi Wen, Jianhua Tao

CoRR, January, 2026

Two-Stage Regularization-Based Structured Pruning for LLMs.

Mingkuan Feng, Jinyang Wu, Siyuan Liu, Shuai Zhang, Hongjian Fang, Ruihan Jin, Feihu Che, Pengpeng Shao, Zhengqi Wen, Jianhua Tao

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

AStar: Boosting Multimodal Reasoning with Automated Structured Thinking.

Jinyang Wu, Mingkuan Feng, Guocheng Zhai, Shuai Zhang, Zheng Lian, Fangrui Lv, Pengpeng Shao, Ruihan Jin, Zhengqi Wen, Jianhua Tao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ELDeR: Getting Efficient LLMs through Data-Driven Regularized Layer-wise Pruning.

Mingkuan Feng, Jinyang Wu, Siyuan Liu, Shuai Zhang, Hongjian Fang, Ruihan Jin, Feihu Che, Pengpeng Shao, Zhengqi Wen, Jianhua Tao

CoRR, May, 2025

Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking.

Jinyang Wu, Mingkuan Feng, Shuai Zhang, Ruihan Jin, Feihu Che, Zengqi Wen, Jianhua Tao

CoRR, February, 2025

DReSS: Data-driven Regularized Structured Streamlining for Large Language Models.

Mingkuan Feng, Jinyang Wu, Shuai Zhang, Pengpeng Shao, Ruihan Jin, Zhengqi Wen, Jianhua Tao, Feihu Che

CoRR, January, 2025

RadialRouter: Structured Representation for Efficient and Robust Large Language Models Routing.

Ruihan Jin, Pengpeng Shao, Zhengqi Wen, Jinyang Wu, Mingkuan Feng, Shuai Zhang, Jianhua Tao

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

2024

Fake News Detection and Manipulation Reasoning via Large Vision-Language Models.

Ruihan Jin, Ruibo Fu, Zhengqi Wen, Shuai Zhang, Yukun Liu, Jianhua Tao

CoRR, 2024

Can large language models understand uncommon meanings of common words?

Jinyang Wu, Feihu Che, Xinxin Zheng, Shuai Zhang, Ruihan Jin, Shuai Nie, Pengpeng Shao, Jianhua Tao

CoRR, 2024