Shuo Wang

According to our database, Shuo Wang authored at least 65 papers between 2019 and 2025.

Collaborative distances:

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

2025

Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization.

Shaohua Duan, Xinze Li, Zhenghao Liu, Xiaoyuan Yi, Yukun Yan, Shuo Wang, Yu Gu, Ge Yu, Maosong Sun

CoRR, August, 2025

PC-Sampler: Position-Aware Calibration of Decoding Bias in Masked Diffusion Models.

Pengcheng Huang, Shuhao Liu, Zhenghao Liu, Yukun Yan, Shuo Wang, Zulong Chen, Tong Xiao

CoRR, August, 2025

LegalΔ: Enhancing Legal Reasoning in LLMs via Reinforcement Learning with Chain-of-Thought Guided Information Gain.

Xin Dai, Buqiang Xu, Zhenghao Liu, Yukun Yan, Huiyuan Xie, Xiaoyuan Yi, Shuo Wang, Ge Yu

CoRR, August, 2025

ADAMIX: Adaptive Mixed-Precision Delta-Compression with Quantization Error Optimization for Large Language Models.

Boya Xiong, Shuo Wang, Weifeng Ge, Guanhua Chen, Yun Chen

CoRR, June, 2025

ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization.

Zhensheng Jin, Xinze Li, Yifan Ji, Chunyi Peng, Zhenghao Liu, Qi Shi, Yukun Yan, Shuo Wang, Furong Peng, Ge Yu

CoRR, June, 2025

MiniCPM4: Ultra-Efficient LLMs on End Devices.

Chaojun Xiao, Yuxuan Li, Xu Han, Yuzhuo Bai, Jie Cai, Haotian Chen, Wentong Chen, Xin Cong, Ganqu Cui, Ning Ding, Shengda Fan, Yewei Fang, Zixuan Fu, Wenyu Guan, Yitong Guan, Junshao Guo, Yufeng Han, Bingxiang He, Yuxiang Huang, Cunliang Kong, Qiuzuo Li, Siyuan Li, Wenhao Li, Yanghao Li, Yishan Li, Zhen Li, Dan Liu, Biyuan Lin, Yankai Lin, Xiang Long, Quanyu Lu, Yaxi Lu, Peiyan Luo, Hongya Lyu, Litu Ou, Yinxu Pan, Zekai Qu, Qundong Shi, Zijun Song, Jiayuan Su, Zhou Su, Ao Sun, Xianghui Sun, Peijun Tang, Fangzheng Wang, Feng Wang, Shuo Wang, Yudong Wang, Yesai Wu, Zhenyu Xiao, Jie Xie, Zihao Xie, Yukun Yan, Jiarui Yuan, Kaihuo Zhang, Lei Zhang, Linyue Zhang, Xueren Zhang, Yudi Zhang, Hengyu Zhao, Weilin Zhao, Weilun Zhao, Yuanqian Zhao, Zhi Zheng, Ge Zhou, Jie Zhou, Wei Zhou, Zihan Zhou, Zixuan Zhou, Zhiyuan Liu, Guoyang Zeng, Chao Jia, Dahai Li, Maosong Sun

CoRR, June, 2025

A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings.

Xiaoang Xu, Shuo Wang, Xu Han, Zhenghao Liu, Huijia Wu, Peipei Li, Zhiyuan Liu, Maosong Sun, Zhaofeng He

CoRR, May, 2025

ConsRec: Denoising Sequential Recommendation through User-Consistent Preference Modeling.

Haidong Xin, Qiushi Xiong, Zhenghao Liu, Sen Mei, Yukun Yan, Shi Yu, Shuo Wang, Yu Gu, Ge Yu, Chenyan Xiong

CoRR, May, 2025

Learning to Route Queries Across Knowledge Bases for Step-wise Retrieval-Augmented Reasoning.

Chunyi Peng, Zhipeng Xu, Zhenghao Liu, Yishan Li, Yukun Yan, Shuo Wang, Zhiyuan Liu, Yu Gu, Minghe Yu, Ge Yu, Maosong Sun

CoRR, May, 2025

AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage.

Xuanle Zhao, Zilin Sang, Yuxuan Li, Qi Shi, Weilun Zhao, Shuo Wang, Duzhen Zhang, Xu Han, Zhiyuan Liu, Maosong Sun

CoRR, May, 2025

Monocle: Hybrid Local-Global In-Context Evaluation for Long-Text Generation with Uncertainty-Based Active Learning.

Xiaorong Wang, Ting Yang, Zhu Zhang, Shuo Wang, Zihan Zhou, Liner Yang, Zhiyuan Liu, Maosong Sun

CoRR, May, 2025

A Survey of LLM ⨉ DATA.

Xuanhe Zhou, Junxuan He, Wei Zhou, Haodong Chen, Zirui Tang, Haoyu Zhao, Xin Tong, Guoliang Li, Youmin Chen, Jun Zhou, Zhaojun Sun, Binyuan Hui, Shuo Wang, Conghui He, Zhiyuan Liu, Jingren Zhou, Fan Wu

CoRR, May, 2025

From Unaligned to Aligned: Scaling Multilingual LLMs with Multi-Way Parallel Corpora.

Yingli Shen, Wen Lai, Shuo Wang, Kangyang Luo, Alexander Fraser, Maosong Sun

CoRR, May, 2025

LLM⨉MapReduce-V2: Entropy-Driven Convolutional Test-Time Scaling for Generating Long-Form Articles from Extremely Long Resources.

Haoyu Wang, Yujia Fu, Zhu Zhang, Shuo Wang, Zirui Ren, Xiaorong Wang, Zhili Li, Chaoqun He, Bo An, Zhiyuan Liu, Maosong Sun

CoRR, April, 2025

Building a Coding Assistant via the Retrieval-Augmented Language Model.

Xinze Li, Hanbin Wang, Zhenghao Liu, Shi Yu, Shuo Wang, Yukun Yan, Yukai Fu, Yu Gu, Ge Yu

ACM Trans. Inf. Syst., March, 2025

Exploring the Impact of Personality Traits on LLM Bias and Toxicity.

Shuo Wang, Renhao Li, Xi Chen, Yulin Yuan, Derek F. Wong, Min Yang

CoRR, February, 2025

DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection.

Yingli Shen, Wen Lai, Shuo Wang, Xueren Zhang, Kangyang Luo, Alexander Fraser, Maosong Sun

CoRR, February, 2025

Process Reinforcement through Implicit Rewards.

Ganqu Cui, Lifan Yuan, Zefan Wang, Hanbin Wang, Wendi Li, Bingxiang He, Yuchen Fan, Tianyu Yu, Qixin Xu, Weize Chen, Jiarui Yuan, Huayu Chen, Kaiyan Zhang, Xingtai Lv, Shuo Wang, Yuan Yao, Xu Han, Hao Peng, Yu Cheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou, Ning Ding

CoRR, February, 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

COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis.

Weiqing Yang, Hanbin Wang, Zhenghao Liu, Xinze Li, Yukun Yan, Shuo Wang, Yu Gu, Minghe Yu, Zhiyuan Liu, Ge Yu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning.

Xujia Wang, Haiyan Zhao, Shuo Wang, Hanqing Wang, Zhiyuan Liu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning.

Hanqing Wang, Yixia Li, Shuo Wang, Guanhua Chen, Yun Chen

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

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents.

Shi Yu, Chaoyue Tang, Bokai Xu, Junbo Cui, Junhao Ran, Yukun Yan, Zhenghao Liu, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards.

Xinze Li, Sen Mei, Zhenghao Liu, Yukun Yan, Shuo Wang, Shi Yu, Zheni Zeng, Hao Chen, Ge Yu, Zhiyuan Liu, Maosong Sun, Chenyan Xiong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework.

Kunlun Zhu, Yifan Luo, Dingling Xu, Yukun Yan, Zhenghao Liu, Shi Yu, Ruobing Wang, Shuo Wang, Yishan Li, Nan Zhang, Xu Han, Zhiyuan Liu, Maosong Sun

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

LLM×MapReduce: Simplified Long-Sequence Processing using Large Language Models.

Zihan Zhou, Chong Li, Xinyi Chen, Shuo Wang, Yu Chao, Zhili Li, Haoyu Wang, Qi Shi, Zhixing Tan, Xu Han, Xiaodong Shi, Zhiyuan Liu, Maosong Sun

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

LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information.

Bowen Ping, Jiali Zeng, Fandong Meng, Shuo Wang, Jie Zhou, Shanghang Zhang

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

2024

Understanding and Mitigating the Uncertainty in Zero-Shot Translation.

Wenxuan Wang, Wenxiang Jiao, Shuo Wang, Zhaopeng Tu, Michael R. Lyu

IEEE ACM Trans. Audio Speech Lang. Process., 2024

KBAlign: Efficient Self Adaptation on Specific Knowledge Bases.

Zheni Zeng, Yuxuan Chen, Shi Yu, Yukun Yan, Zhenghao Liu, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun

CoRR, 2024

LLM⨉MapReduce: Simplified Long-Sequence Processing using Large Language Models.

Zihan Zhou, Chong Li, Xinyi Chen, Shuo Wang, Yu Chao, Zhili Li, Haoyu Wang, Rongqiao An, Qi Shi, Zhixing Tan, Xu Han, Xiaodong Shi, Zhiyuan Liu, Maosong Sun

CoRR, 2024

Retriever-and-Memory: Towards Adaptive Note-Enhanced Retrieval-Augmented Generation.

Ruobing Wang, Daren Zha, Shi Yu, Qingfei Zhao, Yuxuan Chen, Yixuan Wang, Shuo Wang, Yukun Yan, Zhenghao Liu, Xu Han, Zhiyuan Liu, Maosong Sun

CoRR, 2024

Enabling Real-Time Conversations with Minimal Training Costs.

Wang Xu, Shuo Wang, Weilin Zhao, Xu Han, Yukun Yan, Yudi Zhang, Zhe Tao, Zhiyuan Liu, Wanxiang Che

CoRR, 2024

Configurable Foundation Models: Building LLMs from a Modular Perspective.

Chaojun Xiao, Zhengyan Zhang, Chenyang Song, Dazhi Jiang, Feng Yao, Xu Han, Xiaozhi Wang, Shuo Wang, Yufei Huang, Guanyu Lin, Yingfa Chen, Weilin Zhao, Yuge Tu, Zexuan Zhong, Ao Zhang, Chenglei Si, Moo Khai Hao, Chenyang Zhao, Huimin Chen, Yankai Lin, Zhiyuan Liu, Jingbo Shang, Maosong Sun

CoRR, 2024

Enhancing the Code Debugging Ability of LLMs via Communicative Agent Based Data Refinement.

Weiqing Yang, Hanbin Wang, Zhenghao Liu, Xinze Li, Yukun Yan, Shuo Wang, Yu Gu, Minghe Yu, Zhiyuan Liu, Ge Yu

CoRR, 2024

RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework.

Kunlun Zhu, Yifan Luo, Dingling Xu, Ruobing Wang, Shi Yu, Shuo Wang, Yukun Yan, Zhenghao Liu, Xu Han, Zhiyuan Liu, Maosong Sun

CoRR, 2024

MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning.

Hanqing Wang, Zeguan Xiao, Yixia Li, Shuo Wang, Guanhua Chen, Yun Chen

CoRR, 2024

Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression.

Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yukun Yan, Shuo Wang, Ge Yu

CoRR, 2024

From Text to CQL: Bridging Natural Language and Corpus Search Engine.

Luming Lu, Jiyuan An, Yujie Wang, Liner Yang, Cunliang Kong, Zhenghao Liu, Shuo Wang, Haozhe Lin, Mingwei Fang, Yaping Huang, Erhong Yang

CoRR, 2024

∞Bench: Extending Long Context Evaluation Beyond 100K Tokens.

Xinrong Zhang, Yingfa Chen, Shengding Hu, Zihang Xu, Junhao Chen, Moo Khai Hao, Xu Han, Zhen Leng Thai, Shuo Wang, Zhiyuan Liu, Maosong Sun

CoRR, 2024

ActiveRAG: Revealing the Treasures of Knowledge via Active Learning.

Zhipeng Xu, Zhenghao Liu, Yibin Liu, Chenyan Xiong, Yukun Yan, Shuo Wang, Shi Yu, Zhiyuan Liu, Ge Yu

CoRR, 2024

OMGEval: An Open Multilingual Generative Evaluation Benchmark for Large Language Models.

Yang Liu, Meng Xu, Shuo Wang, Liner Yang, Haoyu Wang, Zhenghao Liu, Cunliang Kong, Yun Chen, Yang Liu, Maosong Sun, Erhong Yang

CoRR, 2024

OneBit: Towards Extremely Low-bit Large Language Models.

Yuzhuang Xu, Xu Han, Zonghan Yang, Shuo Wang, Qingfu Zhu, Zhiyuan Liu, Weidong Liu, Wanxiang Che

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

Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models.

Bowen Ping, Shuo Wang, Hanqing Wang, Xu Han, Yuzhuang Xu, Yukun Yan, Yun Chen, Baobao Chang, Zhiyuan Liu, Maosong Sun

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

Pluggable Neural Machine Translation Models via Memory-augmented Adapters.

Yuzhuang Xu, Shuo Wang, Peng Li, Xuebo Liu, Xiaolong Wang, Weidong Liu, Yang Liu

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

MCTS: A Multi-Reference Chinese Text Simplification Dataset.

Ruining Chong, Luming Lu, Liner Yang, Jinran Nie, Zhenghao Liu, Shuo Wang, Shuhan Zhou, Yaoxin Li, Erhong Yang

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

Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages.

Yuanchi Zhang, Yile Wang, Zijun Liu, Shuo Wang, Xiaolong Wang, Peng Li, Maosong Sun, Yang Liu

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

ınftyBench: Extending Long Context Evaluation Beyond 100K Tokens.

Xinrong Zhang, Yingfa Chen, Shengding Hu, Zihang Xu, Junhao Chen, Moo Khai Hao, Xu Han, Zhen Leng Thai, Shuo Wang, Zhiyuan Liu, Maosong Sun

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

MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization.

Zhiyu Yang, Zihan Zhou, Shuo Wang, Xin Cong, Xu Han, Yukun Yan, Zhenghao Liu, Zhixing Tan, Pengyuan Liu, Dong Yu, Zhiyuan Liu, Xiaodong Shi, Maosong Sun

Proceedings of the Findings of the Association for Computational Linguistics, 2024

UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset.

Haoyu Wang, Shuo Wang, Yukun Yan, Xujia Wang, Zhiyu Yang, Yuzhuang Xu, Zhenghao Liu, Liner Yang, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun

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

LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks.

Hanqing Wang, Bowen Ping, Shuo Wang, Xu Han, Yun Chen, Zhiyuan Liu, Maosong Sun

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

INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair.

Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, Ge Yu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

INTERVENOR: Prompt the Coding Ability of Large Language Models with the Interactive Chain of Repairing.

Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, Ge Yu

CoRR, 2023

Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf.

Yuzhuang Xu, Shuo Wang, Peng Li, Fuwen Luo, Xiaolong Wang, Weidong Liu, Yang Liu

CoRR, 2023

TemplateGEC: Improving Grammatical Error Correction with Detection Template.

Yinghao Li, Xuebo Liu, Shuo Wang, Peiyuan Gong, Derek F. Wong, Yang Gao, Heyan Huang, Min Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

A Template-based Method for Constrained Neural Machine Translation.

Shuo Wang, Peng Li, Zhixing Tan, Zhaopeng Tu, Maosong Sun, Yang Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Integrating Vectorized Lexical Constraints for Neural Machine Translation.

Shuo Wang, Zhixing Tan, Yang Liu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators.

Zhixing Tan, Xiangwen Zhang, Shuo Wang, Yang Liu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Language Models are Good Translators.

Shuo Wang, Zhaopeng Tu, Zhixing Tan, Wenxuan Wang, Maosong Sun, Yang Liu

CoRR, 2021

On the Language Coverage Bias for Neural Machine Translation.

Shuo Wang, Zhaopeng Tu, Zhixing Tan, Shuming Shi, Maosong Sun, Yang Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Neural machine translation: A review of methods, resources, and tools.

Zhixing Tan, Shuo Wang, Zonghan Yang, Gang Chen, Xuancheng Huang, Maosong Sun, Yang Liu

AI Open, 2020

Tsinghua University Neural Machine Translation Systems for CCMT 2020.

Gang Chen, Shuo Wang, Xuancheng Huang, Zhixing Tan, Maosong Sun, Yang Liu

Proceedings of the Machine Translation - 16th China Conference, 2020

THUMT: An Open-Source Toolkit for Neural Machine Translation.

Zhixing Tan, Jiacheng Zhang, Xuancheng Huang, Gang Chen, Shuo Wang, Maosong Sun, Huanbo Luan, Yang Liu

Proceedings of the 14th Conference of the Association for Machine Translation in the Americas, 2020

On the Inference Calibration of Neural Machine Translation.

Shuo Wang, Zhaopeng Tu, Shuming Shi, Yang Liu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Improving Back-Translation with Uncertainty-based Confidence Estimation.

Shuo Wang, Yang Liu, Chao Wang, Huanbo Luan, Maosong Sun

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019