Qingxiu Dong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
7
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection. | Yixin Yang, Qingxiu Dong, Linli Yao, Fangwei Zhu, Weilin Luo, Bin Wang, Zhifang Sui |
| 2026 | ACL | SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning. | Zheng Li, Qingxiu Dong, Jingyuan Ma, Di Zhang, Kai Jia, Zhifang Sui |
| 2025 | ACL | How Far are LLMs from Being Our Digital Twins? A Benchmark for Persona-Based Behavior Chain Simulation. | Rui Li, Heming Xia, Xinfeng Yuan, Qingxiu Dong, Lei Sha, Wenjie Li, Zhifang Sui |
| 2025 | EMNLP | Beyond Single Frames: Can LMMs Comprehend Implicit Narratives in Comic Strip? | 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 | EMNLP | MPO: Boosting LLM Agents with Meta Plan Optimization. | Weimin Xiong, Yifan Song, Qingxiu Dong, Bingchan Zhao, Feifan Song, Xun Wang, Sujian Li |
| 2025 | ICLR | Self-Boosting Large Language Models with Synthetic Preference Data. | Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Data Selection via Optimal Control for Language Models. | Yuxian Gu, Li Dong, Hongning Wang, Yaru Hao, Qingxiu Dong, Furu Wei, Minlie Huang |
| 2024 | ACL | Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation. | Yudong Wang, Chang Ma, Qingxiu Dong, Zhifang Sui, Lingpeng Kong, Jingjing Xu |
| 2024 | ACL | 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 |
| 2024 | ACL | Can Large Multimodal Models Uncover Deep Semantics Behind Images? | Yixin Yang, Zheng Li, Qingxiu Dong, Heming Xia, Zhifang Sui |
| 2024 | EMNLP | 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, Lei Li, Zhifang Sui |
| 2024 | NAACL | 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 |
| 2023 | EMNLP | Can Language Models Understand Physical Concepts? | Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Xu Sun, Lingpeng Kong, Qi Liu |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | Can We Edit Factual Knowledge by In-Context Learning? | Ce Zheng, Lei Li, Qingxiu Dong, Yuxuan Fan, Zhiyong Wu, Jingjing Xu, Baobao Chang |
| 2022 | ACL | 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 |
| 2022 | EMNLP | Calibrating Factual Knowledge in Pretrained Language Models. | Qingxiu Dong, Damai Dai, Yifan Song, Jingjing Xu, Zhifang Sui, Lei Li |
| 2022 | IJCAI | 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 |
| 2021 | EACL | ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation. | Qingxiu Dong, Xiaojun Wan, Yue Cao |