Zhuoma Gongque

According to our database, Zhuoma Gongque authored at least 10 papers between 2023 and 2025.

Collaborative distances:

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

2025

CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery.

Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma Gongque, Jianing Yu, Qiuna Tan, Weiran Xu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AgentRefine: Enhancing Agent Generalization through Refinement Tuning.

Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma Gongque, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

Runqi Qiao, Qiuna Tan, Guanting Dong, Minhui Wu, Chong Sun, Xiaoshuai Song, Jiapeng Wang, Zhuoma Gongque, Shanglin Lei, Yifan Zhang, Zhe Wei, Miaoxuan Zhang, Runfeng Qiao, Xiao Zong, Yida Xu, Peiqing Yang, Zhimin Bao, Muxi Diao, Chen Li, Honggang Zhang

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

V-Oracle: Making Progressive Reasoning in Deciphering Oracle Bones for You and Me.

Runqi Qiao, Qiuna Tan, Guanting Dong, MinhuiWu MinhuiWu, Jiapeng Wang, Yifan Zhang, Zhuoma Gongque, Chong Sun, Yida Xu, Yadong Xue, Ye Tian, Zhimin Bao, Lan Yang, Chen Li, Honggang Zhang

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

2024

Multi-Dimensional Insights: Benchmarking Real-World Personalization in Large Multimodal Models.

Yifan Zhang, Shanglin Lei, Runqi Qiao, Zhuoma Gongque, Xiaoshuai Song, Guanting Dong, Qiuna Tan, Zhe Wei, Peiqing Yang, Ye Tian, Yadong Xue, Xiaofei Wang, Honggang Zhang

CoRR, 2024

How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data.

Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu

CoRR, 2024

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

Runqi Qiao, Qiuna Tan, Guanting Dong, Minhui Wu, Chong Sun, Xiaoshuai Song, Zhuoma Gongque, Shanglin Lei, Zhe Wei, Miaoxuan Zhang, Runfeng Qiao, Yifan Zhang, Xiao Zong, Yida Xu, Muxi Diao, Zhimin Bao, Chen Li, Honggang Zhang

CoRR, 2024

How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data.

Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu

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

2023

Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task.

Guanting Dong, Jinxu Zhao, Tingfeng Hui, Daichi Guo, Wenlong Wang, Boqi Feng, Yueyan Qiu, Zhuoma Gongque, Keqing He, Zechen Wang, Weiran Xu

Proceedings of the Natural Language Processing and Chinese Computing, 2023

DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task.

Guanting Dong, Tingfeng Hui, Zhuoma Gongque, Jinxu Zhao, Daichi Guo, Gang Zhao, Keqing He, Weiran Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023