Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging. - Yutai Hou; Cheng Chen; Xianzhen Luo; Bohan Li; Wanxiang Che (ACL (Findings), 2022)

Augmented and challenging datasets with multi-step reasoning and multi-span questions for Chinese judicial reading comprehension. - Qingye Meng; Ziyue Wang 002; Hang Chen; Xianzhen Luo; Baoxin Wang; Zhipeng Chen 001; Yiming Cui 001; Dayong Wu; Zhigang Chen 003; Shijin Wang 001 (AI Open, 2022)

A Survey on Natural Language Processing for Programming. - Qingfu Zhu; Xianzhen Luo; Fang Liu 032; Cuiyun Gao; Wanxiang Che (LREC/COLING, 2024)

Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts. - Xianzhen Luo; Qingfu Zhu; Zhiming Zhang; Libo Qin 001; Xuanyu Zhang; Qing Yang 033; Dongliang Xu; Wanxiang Che (EMNLP, 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 033; Dongliang Xu; Wanxiang Che (EMNLP, 2024)

MultiPoT: Multilingual Program of Thoughts Harnesses Multiple Programming Languages. - Xianzhen Luo; Qingfu Zhu; Zhiming Zhang; Libo Qin 001; Xu Wang; Qing Yang 033; 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 033; Dongliang Xu; Wanxiang Che (CoRR, 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 033; Dongliang Xu; Wanxiang Che (CoRR, 2024)

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 030; Jiaheng Liu; Chenchen Zhang; Linzheng Chai; Ruifeng Yuan; et al. (ACL (1), 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 033; Dongliang Xu (ACL (1), 2025)

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation. - Xuanle Zhao; Xianzhen Luo; Qi Shi 002; Chi Chen 005; Shuo Wang 013; Zhiyuan Liu 001; Maosong Sun 001 (ACL (1), 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 002; Chi Chen 005 (ACL (Findings), 2025)

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation. - Xuanle Zhao; Xianzhen Luo; Qi Shi 002; Chi Chen 005; Shuo Wang 013; Wanxiang Che; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 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 005; Shuigeng Zhou; Wanxiang Che (CoRR, 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, 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, 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 002; Yongbin Li (CoRR, 2025)