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2020 – today
- 2023
[i19]Linyang Li, Pengyu Wang, Ke Ren, Tianxiang Sun, Xipeng Qiu:
Origin Tracing and Detecting of LLMs. CoRR abs/2304.14072 (2023)- [i18]Qinyuan Cheng, Xiaogui Yang, Tianxiang Sun, Linyang Li, Xipeng Qiu:
Improving Contrastive Learning of Sentence Embeddings from AI Feedback. CoRR abs/2305.01918 (2023) - [i17]Peng Li, Tianxiang Sun, Qiong Tang, Hang Yan, Yuanbin Wu, Xuanjing Huang, Xipeng Qiu:
CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors. CoRR abs/2305.05711 (2023) - 2022
- [j1]Tianxiang Sun
, Xiangyang Liu, Xipeng Qiu, Xuan-Jing Huang:
Paradigm Shift in Natural Language Processing. Int. J. Autom. Comput. 19(3): 169-183 (2022) - [c10]Tianxiang Sun, Xiangyang Liu, Wei Zhu, Zhichao Geng, Lingling Wu, Yilong He, Yuan Ni, Guotong Xie, Xuanjing Huang, Xipeng Qiu:
A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation. ACL (Findings) 2022: 2409-2421 - [c9]Xiangyang Liu, Tianxiang Sun, Xuanjing Huang, Xipeng Qiu:
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts. EMNLP (Findings) 2022: 1325-1338 - [c8]Tianxiang Sun, Junliang He, Xipeng Qiu, Xuanjing Huang:
BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation. EMNLP 2022: 3726-3739 - [c7]Tianxiang Sun, Zhengfu He, Hong Qian, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu:
BBTv2: Towards a Gradient-Free Future with Large Language Models. EMNLP 2022: 3916-3930 - [c6]Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang, Xipeng Qiu:
Black-Box Tuning for Language-Model-as-a-Service. ICML 2022: 20841-20855 - [c5]Xiangyang Liu, Tianxiang Sun, Junliang He, Jiawen Wu, Lingling Wu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu:
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline. NAACL-HLT 2022: 3288-3303 - [i16]Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang, Xipeng Qiu:
Black-Box Tuning for Language-Model-as-a-Service. CoRR abs/2201.03514 (2022) - [i15]Tianxiang Sun, Xiangyang Liu, Wei Zhu, Zhichao Geng, Lingling Wu, Yilong He, Yuan Ni, Guotong Xie, Xuanjing Huang, Xipeng Qiu:
A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation. CoRR abs/2203.01670 (2022) - [i14]Tianxiang Sun, Zhengfu He, Hong Qian, Xuanjing Huang, Xipeng Qiu:
BBTv2: Pure Black-Box Optimization Can Be Comparable to Gradient Descent for Few-Shot Learning. CoRR abs/2205.11200 (2022) - [i13]Tianxiang Sun, Zhengfu He, Qin Zhu, Xipeng Qiu, Xuanjing Huang:
Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning. CoRR abs/2210.07565 (2022) - [i12]Tianxiang Sun, Junliang He, Xipeng Qiu, Xuanjing Huang:
BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation. CoRR abs/2210.07626 (2022) - [i11]Xiangyang Liu, Tianxiang Sun, Xuanjing Huang, Xipeng Qiu:
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts. CoRR abs/2210.11292 (2022) - [i10]Zhengfu He, Tianxiang Sun, Kuanning Wang, Xuanjing Huang, Xipeng Qiu:
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models. CoRR abs/2211.15029 (2022) - 2021
- [c4]Xiaonan Li, Yunfan Shao, Tianxiang Sun, Hang Yan, Xipeng Qiu, Xuanjing Huang:
Accelerating BERT Inference for Sequence Labeling via Early-Exit. ACL/IJCNLP (1) 2021: 189-199 - [c3]Junqi Dai, Hang Yan, Tianxiang Sun, Pengfei Liu, Xipeng Qiu:
Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa. NAACL-HLT 2021: 1816-1829 - [i9]Junqi Dai, Hang Yan, Tianxiang Sun, Pengfei Liu, Xipeng Qiu:
Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa. CoRR abs/2104.04986 (2021) - [i8]Tianxiang Sun, Yunhua Zhou, Xiangyang Liu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu:
Early Exiting with Ensemble Internal Classifiers. CoRR abs/2105.13792 (2021) - [i7]Xiaonan Li, Yunfan Shao, Tianxiang Sun, Hang Yan, Xipeng Qiu, Xuanjing Huang:
Accelerating BERT Inference for Sequence Labeling via Early-Exit. CoRR abs/2105.13878 (2021) - [i6]Yitao Liu, Tianxiang Sun, Xipeng Qiu, Xuanjing Huang:
Learning to Teach with Student Feedback. CoRR abs/2109.04641 (2021) - [i5]Tianxiang Sun, Xiangyang Liu, Xipeng Qiu, Xuanjing Huang:
Paradigm Shift in Natural Language Processing. CoRR abs/2109.12575 (2021) - [i4]Xiangyang Liu, Tianxiang Sun, Junliang He, Lingling Wu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu:
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline. CoRR abs/2110.07038 (2021) - 2020
- [c2]Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang:
Learning Sparse Sharing Architectures for Multiple Tasks. AAAI 2020: 8936-8943 - [c1]Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang:
CoLAKE: Contextualized Language and Knowledge Embedding. COLING 2020: 3660-3670 - [i3]Xipeng Qiu, Tianxiang Sun, Yige Xu, Yunfan Shao, Ning Dai, Xuanjing Huang:
Pre-trained Models for Natural Language Processing: A Survey. CoRR abs/2003.08271 (2020) - [i2]Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang:
CoLAKE: Contextualized Language and Knowledge Embedding. CoRR abs/2010.00309 (2020)
2010 – 2019
- 2019
- [i1]Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang:
Learning Sparse Sharing Architectures for Multiple Tasks. CoRR abs/1911.05034 (2019)
Coauthor Index
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