Qingxiu Dong

According to our database, Qingxiu Dong authored at least 34 papers between 2021 and 2024.

Collaborative distances:

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

2024

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models.

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

CoRR, 2024

Data Selection via Optimal Control for Language Models.

Yuxian Gu, Li Dong, Hongning Wang, Yaru Hao, Qingxiu Dong, Furu Wei, Minlie Huang

CoRR, 2024

Self-Boosting Large Language Models with Synthetic Preference Data.

Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei

CoRR, 2024

Towards a Unified View of Preference Learning for Large Language Models: A Survey.

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

CoRR, 2024

Towards Optimal Learning of Language Models.

Yuxian Gu, Li Dong, Yaru Hao, Qingxiu Dong, Minlie Huang, Furu Wei

CoRR, 2024

PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization.

Xiangdi Meng, Damai Dai, Weiyao Luo, Zhe Yang, Shaoxiang Wu, Xiaochen Wang, Peiyi Wang, Qingxiu Dong, Liang Chen, Zhifang Sui

CoRR, 2024

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models.

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

CoRR, 2024

Further Explanations on "SAT Requires Exhaustive Search".

Qingxiu Dong, Guangyan Zhou, Ke Xu

CoRR, 2024

Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis.

Wenhao Zhu, Hongyi Liu, Qingxiu Dong, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen, Lei Li

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

A Survey on In-context Learning.

Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Baobao Chang, Xu Sun, Zhifang Sui

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

Can Large Multimodal Models Uncover Deep Semantics Behind Images?

Yixin Yang, Zheng Li, Qingxiu Dong, Heming Xia, Zhifang Sui

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

Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding.

Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui

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

Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation.

Yudong Wang, Chang Ma, Qingxiu Dong, Zhifang Sui, Lingpeng Kong, Jingjing Xu

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

2023

Large Language Model for Science: A Study on P vs. NP.

Qingxiu Dong, Li Dong, Ke Xu, Guangyan Zhou, Yaru Hao, Zhifang Sui, Furu Wei

CoRR, 2023

Extrapolating Large Language Models to Non-English by Aligning Languages.

Wenhao Zhu, Yunzhe Lv, Qingxiu Dong, Fei Yuan, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen, Lei Li

CoRR, 2023

ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories.

Heming Xia, Qingxiu Dong, Lei Li, Jingjing Xu, Ziwei Qin, Zhifang Sui

CoRR, 2023

Statistical Knowledge Assessment for Generative Language Models.

Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li

CoRR, 2023

A Challenging Benchmark for Low-Resource Learning.

Yudong Wang, Chang Ma, Qingxiu Dong, Lingpeng Kong, Jingjing Xu

CoRR, 2023

A Survey for In-context Learning.

Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, Lei Li, Zhifang Sui

CoRR, 2023

Neural Knowledge Bank for Pretrained Transformers.

Damai Dai, Wenbin Jiang, Qingxiu Dong, Yajuan Lyu, Zhifang Sui

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Statistical Knowledge Assessment for Large Language Models.

Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Can We Edit Factual Knowledge by In-Context Learning?

Ce Zheng, Lei Li, Qingxiu Dong, Yuxuan Fan, Zhiyong Wu, Jingjing Xu, Baobao Chang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories.

Heming Xia, Qingxiu Dong, Lei Li, Jingjing Xu, Tianyu Liu, Ziwei Qin, Zhifang Sui

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Can Language Models Understand Physical Concepts?

Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Xu Sun, Lingpeng Kong, Qi Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models.

Jingjing Xu, Qingxiu Dong, Hongyi Liu, Lei Li

CoRR, 2022

Statistical Dataset Evaluation: Reliability, Difficulty, and Validity.

Chengwen Wang, Qingxiu Dong, Xiaochen Wang, Haitao Wang, Zhifang Sui

CoRR, 2022

Neural Knowledge Bank for Pretrained Transformers.

Damai Dai, Wenbin Jiang, Qingxiu Dong, Yajuan Lyu, Qiaoqiao She, Zhifang Sui

CoRR, 2022

Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances.

Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Calibrating Factual Knowledge in Pretrained Language Models.

Qingxiu Dong, Damai Dai, Yifan Song, Jingjing Xu, Zhifang Sui, Lei Li

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

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, Zhifang Sui

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

2021

CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark.

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

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, Zuifang Sui, Weidong Zhan, Sujian Li, Zhongyu Wei

CoRR, 2021

Problems and Countermeasures in Natural Language Processing Evaluation.

Qingxiu Dong, Zhifang Sui, Weidong Zhan, Baobao Chang

CoRR, 2021

ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation.

Qingxiu Dong, Xiaojun Wan, Yue Cao

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021