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Qingxiu Dong
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2020 – today
- 2024
- [c13]Yixin Yang, Zheng Li, Qingxiu Dong, Heming Xia, Zhifang Sui:
Can Large Multimodal Models Uncover Deep Semantics Behind Images? ACL (Findings) 2024: 1898-1912 - [c12]Yudong Wang, Chang Ma, Qingxiu Dong, Zhifang Sui, Lingpeng Kong, Jingjing Xu:
Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation. ACL (Findings) 2024: 2057-2080 - [c11]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: 7655-7671 - [c10]Wenhao Zhu, Hongyi Liu, Qingxiu Dong, Jingjing Xu, Shujian Huang, Lingpeng Kong, Jiajun Chen, Lei Li:
Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis. NAACL-HLT (Findings) 2024: 2765-2781 - [i25]Qingxiu Dong, Guangyan Zhou, Ke Xu:
Further Explanations on "SAT Requires Exhaustive Search". CoRR abs/2401.01193 (2024) - [i24]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 abs/2401.07851 (2024) - [i23]Yixin Yang, Zheng Li, Qingxiu Dong, Heming Xia, Zhifang Sui:
Can Large Multimodal Models Uncover Deep Semantics Behind Images? CoRR abs/2402.11281 (2024) - [i22]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 abs/2402.13064 (2024) - [i21]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 abs/2402.16141 (2024) - [i20]Yuxian Gu, Li Dong, Yaru Hao, Qingxiu Dong, Minlie Huang, Furu Wei:
Towards Optimal Learning of Language Models. CoRR abs/2402.17759 (2024) - [i19]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:
Towards a Unified View of Preference Learning for Large Language Models: A Survey. CoRR abs/2409.02795 (2024) - 2023
- [c9]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: 2009-2026 - [c8]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: 4862-4876 - [c7]Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Xu Sun, Lingpeng Kong, Qi Liu:
Can Language Models Understand Physical Concepts? EMNLP 2023: 11843-11861 - [c6]Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li:
Statistical Knowledge Assessment for Large Language Models. NeurIPS 2023 - [c5]Damai Dai, Wenbin Jiang, Qingxiu Dong, Yajuan Lyu, Zhifang Sui:
Neural Knowledge Bank for Pretrained Transformers. NLPCC (2) 2023: 772-783 - [i18]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 abs/2301.00234 (2023) - [i17]Yudong Wang, Chang Ma, Qingxiu Dong, Lingpeng Kong, Jingjing Xu:
A Challenging Benchmark for Low-Resource Learning. CoRR abs/2303.03840 (2023) - [i16]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 abs/2304.04675 (2023) - [i15]Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li:
Statistical Knowledge Assessment for Generative Language Models. CoRR abs/2305.10519 (2023) - [i14]Ce Zheng, Lei Li, Qingxiu Dong, Yuxuan Fan, Zhiyong Wu, Jingjing Xu, Baobao Chang:
Can We Edit Factual Knowledge by In-Context Learning? CoRR abs/2305.12740 (2023) - [i13]Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Qi Liu, Lingpeng Kong, Xu Sun:
Can Language Models Understand Physical Concepts? CoRR abs/2305.14057 (2023) - [i12]Heming Xia, Qingxiu Dong, Lei Li, Jingjing Xu, Ziwei Qin, Zhifang Sui:
ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. CoRR abs/2305.15028 (2023) - [i11]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 abs/2308.04948 (2023) - [i10]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 abs/2309.05689 (2023) - 2022
- [c4]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: 932-946 - [c3]Qingxiu Dong, Damai Dai, Yifan Song, Jingjing Xu, Zhifang Sui, Lei Li:
Calibrating Factual Knowledge in Pretrained Language Models. EMNLP (Findings) 2022: 5937-5947 - [c2]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: 4397-4403 - [i9]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 abs/2205.00633 (2022) - [i8]Damai Dai, Wenbin Jiang, Qingxiu Dong, Yajuan Lyu, Qiaoqiao She, Zhifang Sui:
Neural Knowledge Bank for Pretrained Transformers. CoRR abs/2208.00399 (2022) - [i7]Qingxiu Dong, Damai Dai, Yifan Song, Jingjing Xu, Zhifang Sui, Lei Li:
Calibrating Factual Knowledge in Pretrained Language Models. CoRR abs/2210.03329 (2022) - [i6]Chengwen Wang, Qingxiu Dong, Xiaochen Wang, Haitao Wang, Zhifang Sui:
Statistical Dataset Evaluation: Reliability, Difficulty, and Validity. CoRR abs/2212.09272 (2022) - [i5]Jingjing Xu, Qingxiu Dong, Hongyi Liu, Lei Li:
Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models. CoRR abs/2212.10461 (2022) - 2021
- [c1]Qingxiu Dong, Xiaojun Wan, Yue Cao:
ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation. EACL 2021: 424-434 - [i4]Qingxiu Dong, Xiaojun Wan, Yue Cao:
ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation. CoRR abs/2101.08382 (2021) - [i3]Qingxiu Dong, Zhifang Sui, Weidong Zhan, Baobao Chang:
Problems and Countermeasures in Natural Language Processing Evaluation. CoRR abs/2104.09712 (2021) - [i2]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 abs/2105.07122 (2021) - [i1]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 abs/2112.13610 (2021)
Coauthor Index
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last updated on 2024-10-08 20:31 CEST by the dblp team
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