Xianzhen Luo

According to our database, Xianzhen Luo authored at least 17 papers between 2022 and 2025.

Collaborative distances:

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

2025

Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format.

Dingzirui Wang, Xuanliang Zhang, Rongyu Cao, Longxu Dou, Xianzhen Luo, Yingwei Ma, Qingfu Zhu, Wanxiang Che, Binhua Li, Fei Huang, Yongbin Li

CoRR, June, 2025

Advancing Tool-Augmented Large Language Models via Meta-Verification and Reflection Learning.

Zhiyuan Ma, Jiayu Liu, Xianzhen Luo, Zhenya Huang, Qingfu Zhu, Wanxiang Che

CoRR, June, 2025

Success is in the Details: Evaluate and Enhance Details Sensitivity of Code LLMs through Counterfactuals.

Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Mingzheng Xu, Tianhao Cheng, Yixuan Wang, Zheng Chu, Shijie Xuyang, Zhiyuan Ma, YuanTao Fan, Wanxiang Che

CoRR, May, 2025

Is Compression Really Linear with Code Intelligence?

Xianzhen Luo, Shijie Xuyang, Tianhao Cheng, Zheng Chu, Houyi Li, Ziqi Wang, Siming Huang, Qingfu Zhu, Qiufeng Wang, Xiangyu Zhang, Shuigeng Zhou, Wanxiang Che

CoRR, May, 2025

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation.

Xuanle Zhao, Xianzhen Luo, Qi Shi, Chi Chen, Shuo Wang, Wanxiang Che, Zhiyuan Liu, Maosong Sun

CoRR, January, 2025

ChartEdit: How Far Are MLLMs From Automating Chart Analysis? Evaluating MLLMs' Capability via Chart Editing.

Xuanle Zhao, Xuexin Liu, Haoyue Yang, Xianzhen Luo, Fanhu Zeng, Jianling Li, Qi Shi, Chi Chen

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

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation.

Xuanle Zhao, Xianzhen Luo, Qi Shi, Chi Chen, Shuo Wang, Zhiyuan Liu, Maosong Sun

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

Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling.

Xianzhen Luo, Yixuan Wang, Qingfu Zhu, Zhiming Zhang, Xuanyu Zhang, Qing Yang, Dongliang Xu

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

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models.

Siming Huang, Tianhao Cheng, Jason Klein Liu, Weidi Xu, Jiaran Hao, Liuyihan Song, Yang Xu, Jian Yang, Jiaheng Liu, Chenchen Zhang, Linzheng Chai, Ruifeng Yuan, Xianzhen Luo, Qiufeng Wang, YuanTao Fan, Qingfu Zhu, Zhaoxiang Zhang, Yang Gao, Jie Fu, Qian Liu, Houyi Li, Ge Zhang, Yuan Qi, Yinghui Xu, Wei Chu, Zili Wang

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

2024

Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling.

Xianzhen Luo, Yixuan Wang, Qingfu Zhu, Zhiming Zhang, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che

CoRR, 2024

Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models.

Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Xu Wang, Qing Yang, Dongliang Xu, Wanxiang Che

CoRR, 2024

MultiPoT: Multilingual Program of Thoughts Harnesses Multiple Programming Languages.

Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Libo Qin, Xu Wang, Qing Yang, Dongliang Xu, Wanxiang Che

CoRR, 2024

Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training.

Yixuan Wang, Xianzhen Luo, Fuxuan Wei, Yijun Liu, Qingfu Zhu, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che

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

Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts.

Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Libo Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che

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

A Survey on Natural Language Processing for Programming.

Qingfu Zhu, Xianzhen Luo, Fang Liu, Cuiyun Gao, Wanxiang Che

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2022

Augmented and challenging datasets with multi-step reasoning and multi-span questions for Chinese judicial reading comprehension.

Qingye Meng, Ziyue Wang, Hang Chen, Xianzhen Luo, Baoxin Wang, Zhipeng Chen, Yiming Cui, Dayong Wu, Zhigang Chen, Shijin Wang

AI Open, January, 2022

Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging.

Yutai Hou, Cheng Chen, Xianzhen Luo, Bohan Li, Wanxiang Che

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022