Qingxiu Dong - RankMe

64 papers A* 9A 1Journal 43Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decoding in Geometry: Alleviating Embedding-Space Crowding for Complex Reasoning. CoRR Yixin Yang, Qingxiu Dong, Zhifang Sui
2026	J	`jnl`	Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge. CoRR Yao Tang, Li Dong, Yaru Hao, Qingxiu Dong, Furu Wei, Jiatao Gu
2026	J	`jnl`	Online Experiential Learning for Language Models. CoRR Tianzhu Ye, Li Dong, Qingxiu Dong, Xun Wu, Shaohan Huang, Furu Wei
2026	A*	`conf`	RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection. AAAI Yixin Yang, Qingxiu Dong, Linli Yao, Fangwei Zhu, Weilin Luo, Bin Wang, Zhifang Sui
2025	—	`conf`	Beyond Single Frames: Can LMMs Comprehend Implicit Narratives in Comic Strip? EMNLP (Findings) Xiaochen Wang, Heming Xia, Jialin Song, Longyu Guan, Qingxiu Dong, Rui Li, Yixin Yang, Yifan Pu, Weiyao Luo, Yiru Wang, Xiangdi Meng, Wenjie Li, Zhifang Sui
2025	J	`jnl`	Beyond Single Frames: Can LMMs Comprehend Temporal and Contextual Narratives in Image Sequences? CoRR Xiaochen Wang, Heming Xia, Jialin Song, Longyu Guan, Yixin Yang, Qingxiu Dong, Weiyao Luo, Yifan Pu, Yiru Wang, Xiangdi Meng, Wenjie Li, Zhifang Sui
2025	A*	`conf`	Data Selection via Optimal Control for Language Models. ICLR Yuxian Gu, Li Dong, Hongning Wang, Yaru Hao, Qingxiu Dong, Furu Wei, Minlie Huang
2025	—	`conf`	How Far are LLMs from Being Our Digital Twins? A Benchmark for Persona-Based Behavior Chain Simulation. ACL (Findings) Rui Li, Heming Xia, Xinfeng Yuan, Qingxiu Dong, Lei Sha, Wenjie Li, Zhifang Sui
2025	J	`jnl`	How Far are LLMs from Being Our Digital Twins? A Benchmark for Persona-Based Behavior Chain Simulation. CoRR Rui Li, Heming Xia, Xinfeng Yuan, Qingxiu Dong, Lei Sha, Wenjie Li, Zhifang Sui
2025	—	`conf`	MPO: Boosting LLM Agents with Meta Plan Optimization. EMNLP (Findings) Weimin Xiong, Yifan Song, Qingxiu Dong, Bingchan Zhao, Feifan Song, Xun Wang, Sujian Li
2025	J	`jnl`	MPO: Boosting LLM Agents with Meta Plan Optimization. CoRR Weimin Xiong, Yifan Song, Qingxiu Dong, Bingchan Zhao, Feifan Song, Xun Wang, Sujian Li
2025	A*	`conf`	Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models. ICLR Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang
2025	J	`jnl`	RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection. CoRR Yixin Yang, Qingxiu Dong, Linli Yao, Fangwei Zhu, Zhifang Sui
2025	J	`jnl`	Reinforcement Pre-Training. CoRR Qingxiu Dong, Li Dong, Yao Tang, Tianzhu Ye, Yutao Sun, Zhifang Sui, Furu Wei
2025	J	`jnl`	Reward Reasoning Model. CoRR Jiaxin Guo, Zewen Chi, Li Dong, Qingxiu Dong, Xun Wu, Shaohan Huang, Furu Wei
2025	J	`jnl`	Scaling Laws of Synthetic Data for Language Models. CoRR Zeyu Qin, Qingxiu Dong, Xingxing Zhang, Li Dong, Xiaolong Huang, Ziyi Yang, Mahmoud Khademi, Dongdong Zhang, Hany Hassan Awadalla, Yi R. Fung, Weizhu Chen, Minhao Cheng, Furu Wei
2025	A*	`conf`	Self-Boosting Large Language Models with Synthetic Preference Data. ICLR Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei
2025	J	`jnl`	SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning. CoRR Zheng Li, Qingxiu Dong, Jingyuan Ma, Di Zhang, Zhifang Sui
2025	J	`jnl`	Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models. Trans. Mach. Learn. Res. Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei
2025	J	`jnl`	The Era of Agentic Organization: Learning to Organize with Language Models. CoRR Zewen Chi, Li Dong, Qingxiu Dong, Yaru Hao, Xun Wu, Shaohan Huang, Furu Wei
2025	J	`jnl`	Think Only When You Need with Large Hybrid-Reasoning Models. CoRR Lingjie Jiang, Xun Wu, Shaohan Huang, Qingxiu Dong, Zewen Chi, Li Dong, Xingxing Zhang, Tengchao Lv, Lei Cui, Furu Wei
2024	A*	`conf`	A Survey on In-context Learning. EMNLP Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Baobao Chang, Xu Sun, Lei Li, Zhifang Sui
2024	—	`conf`	Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation. ACL (Findings) Yudong Wang, Chang Ma, Qingxiu Dong, Zhifang Sui, Lingpeng Kong, Jingjing Xu
2024	—	`conf`	Can Large Multimodal Models Uncover Deep Semantics Behind Images? ACL (Findings) Yixin Yang, Zheng Li, Qingxiu Dong, Heming Xia, Zhifang Sui
2024	J	`jnl`	Can Large Multimodal Models Uncover Deep Semantics Behind Images? CoRR Yixin Yang, Zheng Li, Qingxiu Dong, Heming Xia, Zhifang Sui
2024	J	`jnl`	Data Selection via Optimal Control for Language Models. CoRR Yuxian Gu, Li Dong, Hongning Wang, Yaru Hao, Qingxiu Dong, Furu Wei, Minlie Huang
2024	J	`jnl`	Further Explanations on "SAT Requires Exhaustive Search". CoRR Qingxiu Dong, Guangyan Zhou, Ke Xu
2024	—	`conf`	Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis. NAACL-HLT (Findings) Wenhao Zhu, Hongyi Liu, Qingxiu Dong, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen, Lei Li
2024	J	`jnl`	Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey. CoRR Liang Chen, Zekun Wang, Shuhuai Ren, Lei Li, Haozhe Zhao, Yunshui Li, Zefan Cai, Hongcheng Guo, Lei Zhang, Yizhe Xiong, Yichi Zhang, Ruoyu Wu, Qingxiu Dong, Ge Zhang, Jian Yang, Lingwei Meng, Shujie Hu, Yulong Chen, Junyang Lin, Shuai Bai, Andreas Vlachos, Xu Tan, Minjia Zhang, Wen Xiao, Aaron Yee, Tianyu Liu, Baobao Chang
2024	J	`jnl`	Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models. CoRR Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang
2024	J	`jnl`	PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization. CoRR Xiangdi Meng, Damai Dai, Weiyao Luo, Zhe Yang, Shaoxiang Wu, Xiaochen Wang, Peiyi Wang, Qingxiu Dong, Liang Chen, Zhifang Sui
2024	J	`jnl`	Self-Boosting Large Language Models with Synthetic Preference Data. CoRR Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei
2024	J	`jnl`	Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models. CoRR Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei
2024	J	`jnl`	Towards Optimal Learning of Language Models. CoRR Yuxian Gu, Li Dong, Yaru Hao, Qingxiu Dong, Minlie Huang, Furu Wei
2024	J	`jnl`	Towards a Unified View of Preference Learning for Large Language Models: A Survey. CoRR Bofei Gao, Feifan Song, Yibo Miao, Zefan Cai, Zhe Yang, Liang Chen, Helan Hu, Runxin Xu, Qingxiu Dong, Ce Zheng, Wen Xiao, Ge Zhang, Daoguang Zan, Keming Lu, Bowen Yu, Dayiheng Liu, Zeyu Cui, Jian Yang, Lei Sha, Houfeng Wang, Zhifang Sui, Peiyi Wang, Tianyu Liu, Baobao Chang
2024	—	`conf`	Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. ACL (Findings) Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui
2024	J	`jnl`	Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. CoRR Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui
2023	J	`jnl`	A Challenging Benchmark for Low-Resource Learning. CoRR Yudong Wang, Chang Ma, Qingxiu Dong, Lingpeng Kong, Jingjing Xu
2023	J	`jnl`	A Survey for In-context Learning. CoRR Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, Lei Li, Zhifang Sui
2023	A*	`conf`	Can Language Models Understand Physical Concepts? EMNLP Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Xu Sun, Lingpeng Kong, Qi Liu
2023	J	`jnl`	Can Language Models Understand Physical Concepts? CoRR Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Qi Liu, Lingpeng Kong, Xu Sun
2023	A*	`conf`	Can We Edit Factual Knowledge by In-Context Learning? EMNLP Ce Zheng, Lei Li, Qingxiu Dong, Yuxuan Fan, Zhiyong Wu, Jingjing Xu, Baobao Chang
2023	J	`jnl`	Can We Edit Factual Knowledge by In-Context Learning? CoRR Ce Zheng, Lei Li, Qingxiu Dong, Yuxuan Fan, Zhiyong Wu, Jingjing Xu, Baobao Chang
2023	J	`jnl`	Extrapolating Large Language Models to Non-English by Aligning Languages. CoRR Wenhao Zhu, Yunzhe Lv, Qingxiu Dong, Fei Yuan, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen, Lei Li
2023	—	`conf`	ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. EMNLP (Findings) Heming Xia, Qingxiu Dong, Lei Li, Jingjing Xu, Tianyu Liu, Ziwei Qin, Zhifang Sui
2023	J	`jnl`	ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. CoRR Heming Xia, Qingxiu Dong, Lei Li, Jingjing Xu, Ziwei Qin, Zhifang Sui
2023	J	`jnl`	Large Language Model for Science: A Study on P vs. NP. CoRR Qingxiu Dong, Li Dong, Ke Xu, Guangyan Zhou, Yaru Hao, Zhifang Sui, Furu Wei
2023	J	`jnl`	Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis. CoRR Wenhao Zhu, Hongyi Liu, Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Jiajun Chen, Lei Li, Shujian Huang
2023	—	`conf`	Neural Knowledge Bank for Pretrained Transformers. NLPCC (2) Damai Dai, Wenbin Jiang, Qingxiu Dong, Yajuan Lyu, Zhifang Sui
2023	J	`jnl`	Statistical Knowledge Assessment for Generative Language Models. CoRR Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li
2023	A*	`conf`	Statistical Knowledge Assessment for Large Language Models. NeurIPS Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li
2022	—	`conf`	Calibrating Factual Knowledge in Pretrained Language Models. EMNLP (Findings) Qingxiu Dong, Damai Dai, Yifan Song, Jingjing Xu, Zhifang Sui, Lei Li
2022	J	`jnl`	Calibrating Factual Knowledge in Pretrained Language Models. CoRR Qingxiu Dong, Damai Dai, Yifan Song, Jingjing Xu, Zhifang Sui, Lei Li
2022	J	`jnl`	Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models. CoRR Jingjing Xu, Qingxiu Dong, Hongyi Liu, Lei Li
2022	J	`jnl`	Neural Knowledge Bank for Pretrained Transformers. CoRR Damai Dai, Wenbin Jiang, Qingxiu Dong, Yajuan Lyu, Qiaoqiao She, Zhifang Sui
2022	—	`conf`	Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues. ACL (1) Qingxiu Dong, Ziwei Qin, Heming Xia, Tian Feng, Shoujie Tong, Haoran Meng, Lin Xu, Zhongyu Wei, Weidong Zhan, Baobao Chang, Sujian Li, Tianyu Liu, Zhifang Sui
2022	A*	`conf`	Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. IJCAI Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui
2022	J	`jnl`	Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. CoRR Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui
2022	J	`jnl`	Statistical Dataset Evaluation: Reliability, Difficulty, and Validity. CoRR Chengwen Wang, Qingxiu Dong, Xiaochen Wang, Haitao Wang, Zhifang Sui
2021	J	`jnl`	CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark. CoRR Yuan Yao, Qingxiu Dong, Jian Guan, Boxi Cao, Zhengyan Zhang, Chaojun Xiao, Xiaozhi Wang, Fanchao Qi, Junwei Bao, Jinran Nie, Zheni Zeng, Yuxian Gu, Kun Zhou, Xuancheng Huang, Wenhao Li, Shuhuai Ren, Jinliang Lu, Chengqiang Xu, Huadong Wang, Guoyang Zeng, Zile Zhou, Jiajun Zhang, Juanzi Li, Minlie Huang, Rui Yan, Xiaodong He, Xiaojun Wan, Xin Zhao, Xu Sun, Yang Liu, Zhiyuan Liu, Xianpei Han, Erhong Yang, Zhifang Sui, Maosong Sun
2021	A	`conf`	ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation. EACL Qingxiu Dong, Xiaojun Wan, Yue Cao
2021	J	`jnl`	ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation. CoRR Qingxiu Dong, Xiaojun Wan, Yue Cao
2021	J	`jnl`	Premise-based Multimodal Reasoning: A Human-like Cognitive Process. CoRR Qingxiu Dong, Ziwei Qin, Heming Xia, Tian Feng, Shoujie Tong, Haoran Meng, Lin Xu, Tianyu Liu, Zuifang Sui, Weidong Zhan, Sujian Li, Zhongyu Wei
2021	J	`jnl`	Problems and Countermeasures in Natural Language Processing Evaluation. CoRR Qingxiu Dong, Zhifang Sui, Weidong Zhan, Baobao Chang