ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation. - Qingxiu Dong; Xiaojun Wan 001; Yue Cao 006 (EACL, 2021)

Problems and Countermeasures in Natural Language Processing Evaluation. - Qingxiu Dong; Zhifang Sui; Weidong Zhan; Baobao Chang (CoRR, 2021)

Premise-based Multimodal Reasoning: A Human-like Cognitive Process. - Qingxiu Dong; Ziwei Qin; Heming Xia; Tian Feng; Shoujie Tong; Haoran Meng; Lin Xu; Tianyu Liu 001; Zuifang Sui; Weidong Zhan; Sujian Li; Zhongyu Wei (CoRR, 2021)

CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark. - Yuan Yao 013; Qingxiu Dong; Jian Guan 002; Boxi Cao; Zhengyan Zhang; Chaojun Xiao; Xiaozhi Wang; Fanchao Qi; Junwei Bao 001; Jinran Nie; Zheni Zeng; Yuxian Gu; et al. (CoRR, 2021)

Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues. - Qingxiu Dong; Ziwei Qin; Heming Xia; Tian Feng; Shoujie Tong; Haoran Meng; Lin Xu; Zhongyu Wei; Weidong Zhan; Baobao Chang; Sujian Li; Tianyu Liu 001; et al. (ACL (1), 2022)

Calibrating Factual Knowledge in Pretrained Language Models. - Qingxiu Dong; Damai Dai; Yifan Song; Jingjing Xu 001; Zhifang Sui; Lei Li 005 (EMNLP (Findings), 2022)

Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. - Shoujie Tong; Qingxiu Dong; Damai Dai; Yifan Song 002; Tianyu Liu 001; Baobao Chang; Zhifang Sui (IJCAI, 2022)

Neural Knowledge Bank for Pretrained Transformers. - Damai Dai; Wenbin Jiang 002; Qingxiu Dong; Yajuan Lyu; Qiaoqiao She; Zhifang Sui (CoRR, 2022)

Statistical Dataset Evaluation: Reliability, Difficulty, and Validity. - Chengwen Wang; Qingxiu Dong; Xiaochen Wang; Haitao Wang; Zhifang Sui (CoRR, 2022)

Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models. - Jingjing Xu 001; Qingxiu Dong; Hongyi Liu 008; Lei Li 005 (CoRR, 2022)

Can Language Models Understand Physical Concepts? - Lei Li 039; Jingjing Xu 001; Qingxiu Dong; Ce Zheng; Xu Sun 001; Lingpeng Kong; Qi Liu 049 (EMNLP, 2023)

ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. - Heming Xia; Qingxiu Dong; Lei Li 039; Jingjing Xu 001; Tianyu Liu 001; Ziwei Qin; Zhifang Sui (EMNLP (Findings), 2023)

Can We Edit Factual Knowledge by In-Context Learning? - Ce Zheng; Lei Li 039; Qingxiu Dong; Yuxuan Fan; Zhiyong Wu 011; Jingjing Xu 001; Baobao Chang (EMNLP, 2023)

Statistical Knowledge Assessment for Large Language Models. - Qingxiu Dong; Jingjing Xu 001; Lingpeng Kong; Zhifang Sui; Lei Li 005 (NeurIPS, 2023)

Neural Knowledge Bank for Pretrained Transformers. - Damai Dai; Wenbin Jiang 002; Qingxiu Dong; Yajuan Lyu; Zhifang Sui (NLPCC (2), 2023)

A Survey for In-context Learning. - Qingxiu Dong; Lei Li 039; Damai Dai; Ce Zheng; Zhiyong Wu 011; Baobao Chang; Xu Sun 001; Jingjing Xu 001; Lei Li 005; Zhifang Sui (CoRR, 2023)

A Challenging Benchmark for Low-Resource Learning. - Yudong Wang 005; Chang Ma; Qingxiu Dong; Lingpeng Kong; Jingjing Xu (CoRR, 2023)

Statistical Knowledge Assessment for Generative Language Models. - Qingxiu Dong; Jingjing Xu 001; Lingpeng Kong; Zhifang Sui; Lei Li 005 (CoRR, 2023)

ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. - Heming Xia; Qingxiu Dong; Lei Li 039; Jingjing Xu 001; Ziwei Qin; Zhifang Sui (CoRR, 2023)

Extrapolating Large Language Models to Non-English by Aligning Languages. - Wenhao Zhu; Yunzhe Lv; Qingxiu Dong; Fei Yuan 006; Jingjing Xu 001; Shujian Huang; Lingpeng Kong; Jiajun Chen 001; Lei Li 005 (CoRR, 2023)

Large Language Model for Science: A Study on P vs. NP. - Qingxiu Dong; Li Dong 004; Ke Xu 001; Guangyan Zhou; Yaru Hao; Zhifang Sui; Furu Wei (CoRR, 2023)

Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation. - Yudong Wang 005; Chang Ma; Qingxiu Dong; Zhifang Sui; Lingpeng Kong; Jingjing Xu (ACL (Findings), 2024)

Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. - Heming Xia; Zhe Yang 013; Qingxiu Dong; Peiyi Wang; Yongqi Li 001; Tao Ge 001; Tianyu Liu 001; Wenjie Li 002; Zhifang Sui (ACL (Findings), 2024)

Can Large Multimodal Models Uncover Deep Semantics Behind Images? - Yixin Yang; Zheng Li; Qingxiu Dong; Heming Xia; Zhifang Sui (ACL (Findings), 2024)

A Survey on In-context Learning. - Qingxiu Dong; Lei Li 039; Damai Dai; Ce Zheng; Jingyuan Ma; Rui Li 094; Heming Xia; Jingjing Xu 001; Zhiyong Wu 011; Baobao Chang; Xu Sun 001; Lei Li 005; et al. (EMNLP, 2024)

Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis. - Wenhao Zhu; Hongyi Liu 008; Qingxiu Dong; Jingjing Xu 001; Shujian Huang; Lingpeng Kong; Jiajun Chen 001; Lei Li 005 (NAACL-HLT (Findings), 2024)

Further Explanations on "SAT Requires Exhaustive Search". - Qingxiu Dong; Guangyan Zhou; Ke Xu 001 (CoRR, 2024)

PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization. - Xiangdi Meng; Damai Dai; Weiyao Luo; Zhe Yang 013; Shaoxiang Wu; Xiaochen Wang; Peiyi Wang; Qingxiu Dong; Liang Chen 024; Zhifang Sui (CoRR, 2024)

Towards Optimal Learning of Language Models. - Yuxian Gu; Li Dong 004; Yaru Hao; Qingxiu Dong; Minlie Huang; Furu Wei (CoRR, 2024)

Towards a Unified View of Preference Learning for Large Language Models: A Survey. - Bofei Gao; Feifan Song 001; Yibo Miao; Zefan Cai; Zhe Yang 013; Liang Chen 024; Helan Hu; Runxin Xu; Qingxiu Dong; Ce Zheng; Wen Xiao; Ge Zhang 009; et al. (CoRR, 2024)

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey. - Liang Chen 024; Zekun Wang; Shuhuai Ren; Lei Li 039; Haozhe Zhao; Yunshui Li; Zefan Cai; Hongcheng Guo; Lei Zhang 201; Yizhe Xiong; Yichi Zhang; Ruoyu Wu; et al. (CoRR, 2024)

How Far are LLMs from Being Our Digital Twins? A Benchmark for Persona-Based Behavior Chain Simulation. - Rui Li 094; Heming Xia; Xinfeng Yuan; Qingxiu Dong; Lei Sha; Wenjie Li 002; Zhifang Sui (ACL (Findings), 2025)

Self-Boosting Large Language Models with Synthetic Preference Data. - Qingxiu Dong; Li Dong 004; Xingxing Zhang 002; Zhifang Sui; Furu Wei (ICLR, 2025)

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models. - Bofei Gao; Feifan Song 001; Zhe Yang 013; Zefan Cai; Yibo Miao; Qingxiu Dong; Lei Li 039; Chenghao Ma; Liang Chen 024; Runxin Xu; Zhengyang Tang; Benyou Wang; et al. (ICLR, 2025)

Data Selection via Optimal Control for Language Models. - Yuxian Gu; Li Dong 004; Hongning Wang; Yaru Hao; Qingxiu Dong; Furu Wei; Minlie Huang (ICLR, 2025)

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models. - Haoran Li; Qingxiu Dong; Zhengyang Tang; Chaojun Wang; Xingxing Zhang 002; Haoyang Huang; Shaohan Huang; Xiaolong Huang; Zeqiang Huang; Dongdong Zhang 001; Yuxian Gu; Xin Cheng 002; et al. (Trans. Mach. Learn. Res., 2025)

Beyond Single Frames: Can LMMs Comprehend Temporal and Contextual Narratives in Image Sequences? - Xiaochen Wang; Heming Xia; Jialin Song; Longyu Guan; Yixin Yang; Qingxiu Dong; Weiyao Luo; Yifan Pu; Yiru Wang; Xiangdi Meng; Wenjie Li 002; Zhifang Sui (CoRR, 2025)

MPO: Boosting LLM Agents with Meta Plan Optimization. - Weimin Xiong; Yifan Song 002; Qingxiu Dong; Bingchan Zhao; Feifan Song 001; Xun Wang; Sujian Li (CoRR, 2025)

Scaling Laws of Synthetic Data for Language Models. - Zeyu Qin; Qingxiu Dong; Xingxing Zhang 002; Li Dong 004; Xiaolong Huang; Ziyi Yang; Mahmoud Khademi; Dongdong Zhang 001; Hany Hassan Awadalla; Yi R. Fung 001; Weizhu Chen; Minhao Cheng; et al. (CoRR, 2025)

RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection. - Yixin Yang; Qingxiu Dong; Linli Yao; Fangwei Zhu; Zhifang Sui (CoRR, 2025)

SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning. - Zheng Li; Qingxiu Dong; Jingyuan Ma; Di Zhang; Zhifang Sui (CoRR, 2025)

Think Only When You Need with Large Hybrid-Reasoning Models. - Lingjie Jiang; Xun Wu; Shaohan Huang; Qingxiu Dong; Zewen Chi; Li Dong 004; Xingxing Zhang 002; Tengchao Lv; Lei Cui 001; Furu Wei (CoRR, 2025)

Reward Reasoning Model. - Jiaxin Guo; Zewen Chi; Li Dong 004; Qingxiu Dong; Xun Wu; Shaohan Huang; Furu Wei (CoRR, 2025)

Reinforcement Pre-Training. - Qingxiu Dong; Li Dong 004; Yao Tang; Tianzhu Ye; Yutao Sun; Zhifang Sui; Furu Wei (CoRR, 2025)