Qingxiu Dong

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 36

Top Topics

Countermeasures

Language Processing

Exhaustive Search

Top Venues

EMNLP (Findings)

Publications

Yuxian Gu, Li Dong, Yaru Hao, Qingxiu Dong, Minlie Huang, Furu Wei
Towards Optimal Learning of Language Models. CoRR (2024)
Yixin Yang, Zheng Li, Qingxiu Dong, Heming Xia, Zhifang Sui
Can Large Multimodal Models Uncover Deep Semantics Behind Images? CoRR (2024)
Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. CoRR (2024)
Yudong Wang, Chang Ma, Qingxiu Dong, Zhifang Sui, Lingpeng Kong, Jingjing Xu
Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation. ACL (Findings) (2024)
Yixin Yang, Zheng Li, Qingxiu Dong, Heming Xia, Zhifang Sui
Can Large Multimodal Models Uncover Deep Semantics Behind Images? ACL (Findings) (2024)
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
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models. CoRR (2024)
Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. ACL (Findings) (2024)
Xiangdi Meng, Damai Dai, Weiyao Luo, Zhe Yang, Shaoxiang Wu, Xiaochen Wang, Peiyi Wang, Qingxiu Dong, Liang Chen, Zhifang Sui
PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization. CoRR (2024)
Qingxiu Dong, Guangyan Zhou, Ke Xu
Further Explanations on "SAT Requires Exhaustive Search". CoRR (2024)
Yudong Wang, Chang Ma, Qingxiu Dong, Lingpeng Kong, Jingjing Xu
A Challenging Benchmark for Low-Resource Learning. CoRR (2023)
Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li
Statistical Knowledge Assessment for Large Language Models. NeurIPS (2023)
Ce Zheng, Lei Li, Qingxiu Dong, Yuxuan Fan, Zhiyong Wu, Jingjing Xu, Baobao Chang
Can We Edit Factual Knowledge by In-Context Learning? CoRR (2023)
Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Xu Sun, Lingpeng Kong, Qi Liu
Can Language Models Understand Physical Concepts? EMNLP (2023)
Wenhao Zhu, Yunzhe Lv, Qingxiu Dong, Fei Yuan, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen, Lei Li
Extrapolating Large Language Models to Non-English by Aligning Languages. CoRR (2023)
Qingxiu Dong, Li Dong, Ke Xu, Guangyan Zhou, Yaru Hao, Zhifang Sui, Furu Wei
Large Language Model for Science: A Study on P vs. NP. CoRR (2023)
Damai Dai, Wenbin Jiang, Qingxiu Dong, Yajuan Lyu, Zhifang Sui
Neural Knowledge Bank for Pretrained Transformers. NLPCC (2) (2023)
Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Qi Liu, Lingpeng Kong, Xu Sun
Can Language Models Understand Physical Concepts? CoRR (2023)
Ce Zheng, Lei Li, Qingxiu Dong, Yuxuan Fan, Zhiyong Wu, Jingjing Xu, Baobao Chang
Can We Edit Factual Knowledge by In-Context Learning? EMNLP (2023)
Heming Xia, Qingxiu Dong, Lei Li, Jingjing Xu, Tianyu Liu, Ziwei Qin, Zhifang Sui
ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. EMNLP (Findings) (2023)
Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li
Statistical Knowledge Assessment for Generative Language Models. CoRR (2023)
Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, Lei Li, Zhifang Sui
A Survey for In-context Learning. CoRR (2023)
Wenhao Zhu, Hongyi Liu, Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Jiajun Chen, Lei Li, Shujian Huang
Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis. CoRR (2023)
Heming Xia, Qingxiu Dong, Lei Li, Jingjing Xu, Ziwei Qin, Zhifang Sui
ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. CoRR (2023)
Qingxiu Dong, Damai Dai, Yifan Song, Jingjing Xu, Zhifang Sui, Lei Li
Calibrating Factual Knowledge in Pretrained Language Models. EMNLP (Findings) (2022)
Damai Dai, Wenbin Jiang, Qingxiu Dong, Yajuan Lyu, Qiaoqiao She, Zhifang Sui
Neural Knowledge Bank for Pretrained Transformers. CoRR (2022)
Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui
Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. IJCAI (2022)
Qingxiu Dong, Damai Dai, Yifan Song, Jingjing Xu, Zhifang Sui, Lei Li
Calibrating Factual Knowledge in Pretrained Language Models. CoRR (2022)
Chengwen Wang, Qingxiu Dong, Xiaochen Wang, Haitao Wang, Zhifang Sui
Statistical Dataset Evaluation: Reliability, Difficulty, and Validity. CoRR (2022)
Jingjing Xu, Qingxiu Dong, Hongyi Liu, Lei Li
Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models. CoRR (2022)
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
Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues. ACL (1) (2022)
Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui
Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. CoRR (2022)
Qingxiu Dong, Zhifang Sui, Weidong Zhan, Baobao Chang
Problems and Countermeasures in Natural Language Processing Evaluation. CoRR (2021)
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
CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark. CoRR (2021)
Qingxiu Dong, Xiaojun Wan, Yue Cao
ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation. EACL (2021)
Qingxiu Dong, Xiaojun Wan, Yue Cao
ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation. CoRR (2021)
Qingxiu Dong, Ziwei Qin, Heming Xia, Tian Feng, Shoujie Tong, Haoran Meng, Lin Xu, Tianyu Liu, Zuifang Sui, Weidong Zhan, Sujian Li, Zhongyu Wei
Premise-based Multimodal Reasoning: A Human-like Cognitive Process. CoRR (2021)