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Xin Jiang 0002
Person information
- affiliation: Huawei Noah's Ark Lab, China
- affiliation (PhD 2009): Peking University, Beijing, China
Other persons with the same name
- Xin Jiang — disambiguation page
- Xin Jiang 0001 — Harbin Institute of Technology, School of Mechanical Engineering and Automation, Shenzhen, China (and 1 more)
- Xin Jiang 0003 — National Institute of Technology, Kitakyushu College, Kitakyushu, Japan (and 1 more)
- Xin Jiang 0004 — Jinan University, Second Clinical Medical College, Shenzhen People's Hospital, Guangzhou, China (and 3 more)
- Xin Jiang 0005 — Beijing Academy of Artificial Intelligence, China
- Xin Jiang 0006 — Wenzhou University of Technology, School of Data Science and Artificial Intelligence, China (and 1 more)
- Xin Jiang 0007 — Harbin Institute of Technology, Department of Astronautic Engineering, China
- Xin Jiang 0008 — Beihang University, Institute of Artificial Intelligence, Beijing, China
- Xin Jiang 0009 — Zhejiang University, Institute of Information and Communication Engineering, Hangzhou, China
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2020 – today
- 2024
- [c98]Renlong Jie, Xiaojun Meng, Xin Jiang, Qun Liu:
Unsupervised Extractive Summarization with Learnable Length Control Strategies. AAAI 2024: 18372-18380 - [c97]Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu:
Preparing Lessons for Progressive Training on Language Models. AAAI 2024: 18860-18868 - [c96]Renlong Jie, Xiaojun Meng, Lifeng Shang, Xin Jiang, Qun Liu:
Prompt-Based Length Controlled Generation with Multiple Control Types. ACL (Findings) 2024: 1067-1085 - [c95]Shijue Huang, Wanjun Zhong, Jianqiao Lu, Qi Zhu, Jiahui Gao, Weiwen Liu, Yutai Hou, Xingshan Zeng, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruifeng Xu, Qun Liu:
Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios. ACL (Findings) 2024: 4363-4400 - [c94]Yuxin Jiang, Yufei Wang, Xingshan Zeng, Wanjun Zhong, Liangyou Li, Fei Mi, Lifeng Shang, Xin Jiang, Qun Liu, Wei Wang:
FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models. ACL (1) 2024: 4667-4688 - [c93]Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang:
Learning to Edit: Aligning LLMs with Knowledge Editing. ACL (1) 2024: 4689-4705 - [c92]Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Lei Chen:
Retrieval-based Disentangled Representation Learning with Natural Language Supervision. ICLR 2024 - [c91]Zhiming Mao, Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong:
Visually Guided Generative Text-Layout Pre-training for Document Intelligence. NAACL-HLT 2024: 4713-4730 - [c90]Kaiwei Liu, Bufang Yang, Lilin Xu, Yunqi Guo, Neiwen Ling, Zhihe Zhao, Guoliang Xing, Xian Shuai, Xiaozhe Ren, Xin Jiang, Zhenyu Yan:
Poster Abstract: Tasking Heterogeneous Sensor Systems with LLMs. SenSys 2024: 901-902 - [c89]Dong Yao, Jieming Zhu, Jiahao Xun, Shengyu Zhang, Zhou Zhao, Liqun Deng, Wenqiao Zhang, Zhenhua Dong, Xin Jiang:
MART: Learning Hierarchical Music Audio Representations with Part-Whole Transformer. WWW (Companion Volume) 2024: 967-970 - [i117]Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu:
Preparing Lessons for Progressive Training on Language Models. CoRR abs/2401.09192 (2024) - [i116]Jianqiao Lu, Wanjun Zhong, Yufei Wang, Zhijiang Guo, Qi Zhu, Wenyong Huang, Yanlin Wang, Fei Mi, Baojun Wang, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu:
YODA: Teacher-Student Progressive Learning for Language Models. CoRR abs/2401.15670 (2024) - [i115]Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, Yufei Wang, Liangyou Li, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong:
MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models. CoRR abs/2401.16745 (2024) - [i114]Shijue Huang, Wanjun Zhong, Jianqiao Lu, Qi Zhu, Jiahui Gao, Weiwen Liu, Yutai Hou, Xingshan Zeng, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruifeng Xu, Qun Liu:
Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios. CoRR abs/2401.17167 (2024) - [i113]Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang:
Learning to Edit: Aligning LLMs with Knowledge Editing. CoRR abs/2402.11905 (2024) - [i112]Zhiming Mao, Haoli Bai, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu, Kam-Fai Wong:
Visually Guided Generative Text-Layout Pre-training for Document Intelligence. CoRR abs/2403.16516 (2024) - [i111]Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok:
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment. CoRR abs/2405.00557 (2024) - [i110]Renlong Jie, Xiaojun Meng, Lifeng Shang, Xin Jiang, Qun Liu:
Prompt-Based Length Controlled Generation with Multiple Control Types. CoRR abs/2406.10278 (2024) - [i109]Zezhong Wang, Xingshan Zeng, Weiwen Liu, Yufei Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong:
Chain-of-Probe: Examing the Necessity and Accuracy of CoT Step-by-Step. CoRR abs/2406.16144 (2024) - [i108]Yuxin Jiang, Bo Huang, Yufei Wang, Xingshan Zeng, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang:
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization. CoRR abs/2408.07471 (2024) - [i107]Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen:
ToolACE: Winning the Points of LLM Function Calling. CoRR abs/2409.00920 (2024) - [i106]Jiahui Gao, Renjie Pi, Tianyang Han, Han Wu, Lanqing Hong, Lingpeng Kong, Xin Jiang, Zhenguo Li:
CoCA: Regaining Safety-awareness of Multimodal Large Language Models with Constitutional Calibration. CoRR abs/2409.11365 (2024) - 2023
- [j3]Zhengyan Zhang, Guangxuan Xiao, Yongwei Li, Tian Lv, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Xin Jiang, Maosong Sun:
Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-level Backdoor Attacks. Mach. Intell. Res. 20(2): 180-193 (2023) - [c88]Qi Zhu, Fei Mi, Zheng Zhang, Yasheng Wang, Yitong Li, Xin Jiang, Qun Liu, Xiaoyan Zhu, Minlie Huang:
KPT: Keyword-Guided Pre-training for Grounded Dialog Generation. AAAI 2023: 14065-14073 - [c87]Yajiao Liu, Xin Jiang, Yichun Yin, Yasheng Wang, Fei Mi, Qun Liu, Xiang Wan, Benyou Wang:
One Cannot Stand for Everyone! Leveraging Multiple User Simulators to train Task-oriented Dialogue Systems. ACL (1) 2023: 1-21 - [c86]Siheng Li, Cheng Yang, Yichun Yin, Xinyu Zhu, Zesen Cheng, Lifeng Shang, Xin Jiang, Qun Liu, Yujiu Yang:
AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models. ACL (2) 2023: 1751-1762 - [c85]Siheng Li, Yichun Yin, Cheng Yang, Wangjie Jiang, Yiwei Li, Zesen Cheng, Lifeng Shang, Xin Jiang, Qun Liu, Yujiu Yang:
NewsDialogues: Towards Proactive News Grounded Conversation. ACL (Findings) 2023: 3634-3649 - [c84]Yang Luo, Xiaozhe Ren, Zangwei Zheng, Zhuo Jiang, Xin Jiang, Yang You:
CAME: Confidence-guided Adaptive Memory Efficient Optimization. ACL (1) 2023: 4442-4453 - [c83]Chaofan Tao, Lu Hou, Haoli Bai, Jiansheng Wei, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong:
Structured Pruning for Efficient Generative Pre-trained Language Models. ACL (Findings) 2023: 10880-10895 - [c82]Zhengkun Zhang, Wenya Guo, Xiaojun Meng, Yasheng Wang, Yadao Wang, Xin Jiang, Qun Liu, Zhenglu Yang:
HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks. ACL (Findings) 2023: 11442-11453 - [c81]Guanhua Chen, Lu Hou, Yun Chen, Wenliang Dai, Lifeng Shang, Xin Jiang, Qun Liu, Jia Pan, Wenping Wang:
mCLIP: Multilingual CLIP via Cross-lingual Transfer. ACL (1) 2023: 13028-13043 - [c80]Haoli Bai, Zhiguang Liu, Xiaojun Meng, Wentao Li, Shuang Liu, Yifeng Luo, Nian Xie, Rongfu Zheng, Liangwei Wang, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu:
Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding. ACL (1) 2023: 13386-13401 - [c79]Boyang Xue, Weichao Wang, Hongru Wang, Fei Mi, Rui Wang, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong:
Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment. EMNLP (Findings) 2023: 7829-7844 - [c78]Xiaojun Meng, Wenlin Dai, Yasheng Wang, Baojun Wang, Zhiyong Wu, Xin Jiang, Qun Liu:
Lexicon-injected Semantic Parsing for Task-Oriented Dialog. ICASSP 2023: 1-5 - [c77]Yihe Wang, Yitong Li, Yasheng Wang, Fei Mi, Pingyi Zhou, Jin Liu, Xin Jiang, Qun Liu:
History, Present and Future: Enhancing Dialogue Generation with Few-Shot History-Future Prompt. ICASSP 2023: 1-5 - [c76]Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Yongming Chen, Xin Jiang, Yang You:
A Study on Transformer Configuration and Training Objective. ICML 2023: 38913-38925 - [c75]Zenan Xu, Xiaojun Meng, Yasheng Wang, Qinliang Su, Zexuan Qiu, Xin Jiang, Qun Liu:
Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video. IJCAI 2023: 5242-5250 - [c74]Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu:
Reusing Pretrained Models by Multi-linear Operators for Efficient Training. NeurIPS 2023 - [c73]Zangwei Zheng, Xiaozhe Ren, Fuzhao Xue, Yang Luo, Xin Jiang, Yang You:
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline. NeurIPS 2023 - [c72]Bufang Yang, Lixing He, Neiwen Ling, Zhenyu Yan, Guoliang Xing, Xian Shuai, Xiaozhe Ren, Xin Jiang:
EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge. SenSys 2023: 111-124 - [i105]Xiaozhe Ren, Pingyi Zhou, Xinfan Meng, Xinjing Huang, Yadao Wang, Weichao Wang, Pengfei Li, Xiaoda Zhang, Alexander Podolskiy, Grigory Arshinov, Andrey Bout, Irina Piontkovskaya, Jiansheng Wei, Xin Jiang, Teng Su, Qun Liu, Jun Yao:
PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing. CoRR abs/2303.10845 (2023) - [i104]Zenan Xu, Xiaojun Meng, Yasheng Wang, Qinliang Su, Zexuan Qiu, Xin Jiang, Qun Liu:
Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video. CoRR abs/2305.04824 (2023) - [i103]Renlong Jie, Xiaojun Meng, Lifeng Shang, Xin Jiang, Qun Liu:
Enhancing Coherence of Extractive Summarization with Multitask Learning. CoRR abs/2305.12851 (2023) - [i102]Zangwei Zheng, Xiaozhe Ren, Fuzhao Xue, Yang Luo, Xin Jiang, Yang You:
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline. CoRR abs/2305.13144 (2023) - [i101]Yang Luo, Xiaozhe Ren, Zangwei Zheng, Zhuo Jiang, Xin Jiang, Yang You:
CAME: Confidence-guided Adaptive Memory Efficient Optimization. CoRR abs/2307.02047 (2023) - [i100]Yufei Wang, Wanjun Zhong, Liangyou Li, Fei Mi, Xingshan Zeng, Wenyong Huang, Lifeng Shang, Xin Jiang, Qun Liu:
Aligning Large Language Models with Human: A Survey. CoRR abs/2307.12966 (2023) - [i99]Siheng Li, Yichun Yin, Cheng Yang, Wangjie Jiang, Yiwei Li, Zesen Cheng, Lifeng Shang, Xin Jiang, Qun Liu, Yujiu Yang:
NewsDialogues: Towards Proactive News Grounded Conversation. CoRR abs/2308.06501 (2023) - [i98]Siheng Li, Cheng Yang, Yichun Yin, Xinyu Zhu, Zesen Cheng, Lifeng Shang, Xin Jiang, Qun Liu, Yujiu Yang:
AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models. CoRR abs/2308.06507 (2023) - [i97]Renlong Jie, Xiaojun Meng, Lifeng Shang, Xin Jiang, Qun Liu:
Prompt-Based Length Controlled Generation with Reinforcement Learning. CoRR abs/2308.12030 (2023) - [i96]Boyang Xue, Weichao Wang, Hongru Wang, Fei Mi, Rui Wang, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong:
Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment. CoRR abs/2310.08372 (2023) - [i95]Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang, Xin Jiang, Qun Liu:
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. CoRR abs/2310.10477 (2023) - [i94]Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu:
Reusing Pretrained Models by Multi-linear Operators for Efficient Training. CoRR abs/2310.10699 (2023) - [i93]Yuxin Jiang, Yufei Wang, Xingshan Zeng, Wanjun Zhong, Liangyou Li, Fei Mi, Lifeng Shang, Xin Jiang, Qun Liu, Wei Wang:
FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models. CoRR abs/2310.20410 (2023) - [i92]Bufang Yang, Lixing He, Neiwen Ling, Zhenyu Yan, Guoliang Xing, Xian Shuai, Xiaozhe Ren, Xin Jiang:
EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge. CoRR abs/2311.10986 (2023) - [i91]Zige Wang, Wanjun Zhong, Yufei Wang, Qi Zhu, Fei Mi, Baojun Wang, Lifeng Shang, Xin Jiang, Qun Liu:
Data Management For Large Language Models: A Survey. CoRR abs/2312.01700 (2023) - [i90]Dong Yao, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Liqun Deng, Wenqiao Zhang, Zhenhua Dong, Ruiming Tang, Xin Jiang:
Music-PAW: Learning Music Representations via Hierarchical Part-whole Interaction and Contrast. CoRR abs/2312.06197 (2023) - [i89]Renlong Jie, Xiaojun Meng, Xin Jiang, Qun Liu:
Unsupervised Extractive Summarization with Learnable Length Control Strategies. CoRR abs/2312.06901 (2023) - 2022
- [c71]Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li:
AutoBERT-Zero: Evolving BERT Backbone from Scratch. AAAI 2022: 10663-10671 - [c70]Zhengkun Zhang, Xiaojun Meng, Yasheng Wang, Xin Jiang, Qun Liu, Zhenglu Yang:
UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation. AAAI 2022: 11757-11764 - [c69]Xin Wang, Yasheng Wang, Yao Wan, Fei Mi, Yitong Li, Pingyi Zhou, Jin Liu, Hao Wu, Xin Jiang, Qun Liu:
Compilable Neural Code Generation with Compiler Feedback. ACL (Findings) 2022: 9-19 - [c68]Xianghong Fang, Jian Li, Lifeng Shang, Xin Jiang, Qun Liu, Dit-Yan Yeung:
Controlled Text Generation Using Dictionary Prior in Variational Autoencoders. ACL (Findings) 2022: 97-111 - [c67]Jian Li, Jieming Zhu, Qiwei Bi, Guohao Cai, Lifeng Shang, Zhenhua Dong, Xin Jiang, Qun Liu:
MINER: Multi-Interest Matching Network for News Recommendation. ACL (Findings) 2022: 343-352 - [c66]Dan Su, Xiaoguang Li, Jindi Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Pascale Fung:
Read before Generate! Faithful Long Form Question Answering with Machine Reading. ACL (Findings) 2022: 744-756 - [c65]Shaobo Li, Xiaoguang Li, Lifeng Shang, Zhenhua Dong, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu:
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis. ACL (Findings) 2022: 1720-1732 - [c64]Cheng Chen, Yichun Yin, Lifeng Shang, Xin Jiang, Yujia Qin, Fengyu Wang, Zhi Wang, Xiao Chen, Zhiyuan Liu, Qun Liu:
bert2BERT: Towards Reusable Pretrained Language Models. ACL (1) 2022: 2134-2148 - [c63]Wenliang Dai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Pascale Fung:
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation. ACL (Findings) 2022: 2383-2395 - [c62]Ningning Wang, Guobing Gan, Peng Zhang, Shuai Zhang, Victor Junqiu Wei, Qun Liu, Xin Jiang:
ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer. ACL (1) 2022: 2390-2402 - [c61]Qiwei Bi, Jian Li, Lifeng Shang, Xin Jiang, Qun Liu, Hanfang Yang:
MTRec: Multi-Task Learning over BERT for News Recommendation. ACL (Findings) 2022: 2663-2669 - [c60]Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong:
Compression of Generative Pre-trained Language Models via Quantization. ACL (1) 2022: 4821-4836 - [c59]Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Lan Luo, Ke Zhan, Enrui Hu, Xinyu Zhang, Hao Jiang, Zhao Cao, Fan Yu, Xin Jiang, Qun Liu, Lei Chen:
Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering. ACL (1) 2022: 7135-7146 - [c58]Xinyan Zhao, Bin He, Yasheng Wang, Yitong Li, Fei Mi, Yajiao Liu, Xin Jiang, Qun Liu, Huanhuan Chen:
UniDS: A Unified Dialogue System for Chit-Chat and Task-oriented Dialogues. DialDoc@ACL 2022: 13-22 - [c57]Yihe Wang, Yitong Li, Yasheng Wang, Fei Mi, Pingyi Zhou, Xin Wang, Jin Liu, Xin Jiang, Qun Liu:
Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation. COLING 2022: 636-647 - [c56]Cheng Chen, Zhenshan Tan, Qingrong Cheng, Xin Jiang, Qun Liu, Yudong Zhu, Xiaodong Gu:
UTC: A Unified Transformer with Inter-Task Contrastive Learning for Visual Dialog. CVPR 2022: 18082-18091 - [c55]Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, Ahmad Rashid, Khalil Bibi, Mehdi Rezagholizadeh, Chao Xing, Yasheng Wang, Xinyu Duan, Zhefeng Wang, Baoxing Huai, Xin Jiang, Qun Liu, Philippe Langlais:
Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing. EMNLP 2022: 3135-3151 - [c54]Jingyan Zhou, Jiawen Deng, Fei Mi, Yitong Li, Yasheng Wang, Minlie Huang, Xin Jiang, Qun Liu, Helen Meng:
Towards Identifying Social Bias in Dialog Systems: Framework, Dataset, and Benchmark. EMNLP (Findings) 2022: 3576-3591 - [c53]Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu:
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. EMNLP 2022: 6585-6597 - [c52]Sunzhu Li, Peng Zhang, Guobing Gan, Xiuqing Lv, Benyou Wang, Victor Junqiu Wei, Xin Jiang:
Hypoformer: Hybrid Decomposition Transformer for Edge-friendly Neural Machine Translation. EMNLP 2022: 7056-7068 - [c51]Dongsheng Chen, Chaofan Tao, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu:
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling. EMNLP 2022: 7985-7997 - [c50]Shaobo Li, Xiaoguang Li, Lifeng Shang, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu:
Pre-training Language Models with Deterministic Factual Knowledge. EMNLP 2022: 11118-11131 - [c49]Wenyong Huang, Zhenhe Zhang, Yu Ting Yeung, Xin Jiang, Qun Liu:
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training. ICLR 2022 - [c48]Benyou Wang, Yuxin Ren, Lifeng Shang, Xin Jiang, Qun Liu:
Exploring extreme parameter compression for pre-trained language models. ICLR 2022 - [c47]Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu:
FILIP: Fine-grained Interactive Language-Image Pre-Training. ICLR 2022 - [c46]Xin Liu, Jiayang Cheng, Yangqiu Song, Xin Jiang:
Boosting Graph Structure Learning with Dummy Nodes. ICML 2022: 13704-13716 - [c45]Nianzu Zheng, Liqun Deng, Wenyong Huang, Yu Ting Yeung, Baohua Xu, Yuanyuan Guo, Yasheng Wang, Xiao Chen, Xin Jiang, Qun Liu:
CoCA-MDD: A Coupled Cross-Attention based Framework for Streaming Mispronunciation Detection and Diagnosis. INTERSPEECH 2022: 4352-4356 - [c44]Daxin Tan, Liqun Deng, Nianzu Zheng, Yu Ting Yeung, Xin Jiang, Xiao Chen, Tan Lee:
CorrectSpeech: A Fully Automated System for Speech Correction and Accent Reduction. ISCSLP 2022: 81-85 - [c43]Yinpeng Guo, Liangyou Li, Xin Jiang, Qun Liu:
FreeTransfer-X: Safe and Label-Free Cross-Lingual Transfer from Off-the-Shelf Models. NAACL-HLT (Findings) 2022: 217-228 - [c42]Mengjie Zhao, Fei Mi, Yasheng Wang, Minglei Li, Xin Jiang, Qun Liu, Hinrich Schütze:
LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework. NAACL-HLT (Findings) 2022: 675-692 - [c41]Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu:
Towards Efficient Post-training Quantization of Pre-trained Language Models. NeurIPS 2022 - [c40]Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Niu Minzhe, Xiaodan Liang, Lewei Yao, Runhui Huang, Wei Zhang, Xin Jiang, Chunjing Xu, Hang Xu:
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark. NeurIPS 2022 - [i88]Wenyong Huang, Zhenhe Zhang, Yu Ting Yeung, Xin Jiang, Qun Liu:
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training. CoRR abs/2201.10207 (2022) - [i87]Yihe Wang, Yitong Li, Yasheng Wang, Fei Mi, Pingyi Zhou, Xin Wang, Jin Liu, Qun Liu, Xin Jiang:
Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation. CoRR abs/2201.11367 (2022) - [i86]Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Minzhe Niu, Hang Xu, Xiaodan Liang, Wei Zhang, Xin Jiang, Chunjing Xu:
Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework. CoRR abs/2202.06767 (2022) - [i85]Jingyan Zhou, Jiawen Deng, Fei Mi, Yitong Li, Yasheng Wang, Minlie Huang, Xin Jiang, Qun Liu, Helen Meng:
Towards Identifying Social Bias in Dialog Systems: Frame, Datasets, and Benchmarks. CoRR abs/2202.08011 (2022) - [i84]Dan Su, Xiaoguang Li, Jindi Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Pascale Fung:
Read before Generate! Faithful Long Form Question Answering with Machine Reading. CoRR abs/2203.00343 (2022) - [i83]Zhengkun Zhang, Wenya Guo, Xiaojun Meng, Yasheng Wang, Yadao Wang, Xin Jiang, Qun Liu, Zhenglu Yang:
HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks. CoRR abs/2203.03878 (2022) - [i82]Xin Wang, Yasheng Wang, Yao Wan, Fei Mi, Yitong Li, Pingyi Zhou, Jin Liu, Hao Wu, Xin Jiang, Qun Liu:
Compilable Neural Code Generation with Compiler Feedback. CoRR abs/2203.05132 (2022) - [i81]Wenliang Dai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Pascale Fung:
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation. CoRR abs/2203.06386 (2022) - [i80]Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Lan Luo, Ke Zhan, Enrui Hu, Xinyu Zhang, Hao Jiang, Zhao Cao, Fan Yu, Xin Jiang, Qun Liu, Lei Chen:
Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering. CoRR abs/2203.06942 (2022) - [i79]Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong:
Compression of Generative Pre-trained Language Models via Quantization. CoRR abs/2203.10705 (2022) - [i78]Shaobo Li, Xiaoguang Li, Lifeng Shang, Zhenhua Dong, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu:
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis. CoRR abs/2203.16747 (2022) - [i77]Fei Mi, Yitong Li, Yulong Zeng, Jingyan Zhou, Yasheng Wang, Chuanfei Xu, Lifeng Shang, Xin Jiang, Shiqi Zhao, Qun Liu:
PANGUBOT: Efficient Generative Dialogue Pre-training from Pre-trained Language Model. CoRR abs/2203.17090 (2022) - [i76]Daxin Tan, Liqun Deng, Nianzu Zheng, Yu Ting Yeung, Xin Jiang, Xiao Chen, Tan Lee:
CorrectSpeech: A Fully Automated System for Speech Correction and Accent Reduction. CoRR abs/2204.05460 (2022) - [i75]Cheng Chen, Yudong Zhu, Zhenshan Tan, Qingrong Cheng, Xin Jiang, Qun Liu, Xiaodong Gu:
UTC: A Unified Transformer with Inter-Task Contrastive Learning for Visual Dialog. CoRR abs/2205.00423 (2022) - [i74]Yuxin Ren, Benyou Wang, Lifeng Shang, Xin Jiang, Qun Liu:
Exploring Extreme Parameter Compression for Pre-trained Language Models. CoRR abs/2205.10036 (2022) - [i73]Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Xin Jiang, Yang You:
Deeper vs Wider: A Revisit of Transformer Configuration. CoRR abs/2205.10505 (2022) - [i72]Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, Ahmad Rashid, Khalil Bibi, Mehdi Rezagholizadeh, Chao Xing, Yasheng Wang, Duan Xinyu, Zhefeng Wang, Baoxing Huai, Xin Jiang, Qun Liu, Philippe Langlais:
Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Understanding. CoRR abs/2205.10687 (2022) - [i71]Jinghui Xiao, Qun Liu, Xin Jiang, Yuanfeng Xiong, Haiteng Wu, Zhe Zhang:
PERT: A New Solution to Pinyin to Character Conversion Task. CoRR abs/2205.11737 (2022) - [i70]Yinpeng Guo, Liangyou Li, Xin Jiang, Qun Liu:
FreeTransfer-X: Safe and Label-Free Cross-Lingual Transfer from Off-the-Shelf Models. CoRR abs/2206.06586 (2022) - [i69]Xin Liu, Jiayang Cheng, Yangqiu Song, Xin Jiang:
Boosting Graph Structure Learning with Dummy Nodes. CoRR abs/2206.08561 (2022) - [i68]Fenia Christopoulou, Gerasimos Lampouras, Milan Gritta, Guchun Zhang, Yinpeng Guo, Zhongqi Li, Qi Zhang, Meng Xiao, Bo Shen, Lin Li, Hao Yu, Li Yan, Pingyi Zhou, Xin Wang, Yuchi Ma, Ignacio Iacobacci, Yasheng Wang, Guangtai Liang, Jiansheng Wei, Xin Jiang, Qianxiang Wang, Qun Liu:
PanGu-Coder: Program Synthesis with Function-Level Language Modeling. CoRR abs/2207.11280 (2022) - [i67]Shaobo Li, Xiaoguang Li, Lifeng Shang, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu:
Pre-training Language Models with Deterministic Factual Knowledge. CoRR abs/2210.11165 (2022) - [i66]Dongsheng Chen, Chaofan Tao, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu:
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling. CoRR abs/2210.11929 (2022) - [i65]Xiaojun Meng, Wenlin Dai, Yasheng Wang, Baojun Wang, Zhiyong Wu, Xin Jiang, Qun Liu:
Lexicon-injected Semantic Parsing for Task-Oriented Dialog. CoRR abs/2211.14508 (2022) - [i64]Qi Zhu, Fei Mi, Zheng Zhang, Yasheng Wang, Yitong Li, Xin Jiang, Qun Liu, Xiaoyan Zhu, Minlie Huang:
KPT: Keyword-guided Pre-training for Grounded Dialog Generation. CoRR abs/2212.01739 (2022) - [i63]Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu:
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. CoRR abs/2212.03613 (2022) - [i62]Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Lei Chen:
Retrieval-based Disentanglement with Distant Supervision. CoRR abs/2212.07699 (2022) - [i61]Haoli Bai, Zhiguang Liu, Xiaojun Meng, Wentao Li, Shuang Liu, Nian Xie, Rongfu Zheng, Liangwei Wang, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu:
Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding. CoRR abs/2212.09621 (2022) - 2021
- [j2]Xiaoqi Jiao, Huating Chang, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu:
Improving task-agnostic BERT distillation with layer mapping search. Neurocomputing 461: 194-203 (2021) - [j1]Qinjie Xiao, Hanyuan Zhang, Zhaorui Zhang, Yiqian Wu, Luyuan Wang, Xiaogang Jin, Xin Jiang, Yong-Liang Yang, Tianjia Shao, Kun Zhou:
EyelashNet: a dataset and a baseline method for eyelash matting. ACM Trans. Graph. 40(6): 217:1-217:17 (2021) - [c39]Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, Bingquan Liu:
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions. AAAI 2021: 13279-13287 - [c38]Jing Zhang, Peng Zhang, Baiwen Kong, Junqiu Wei, Xin Jiang:
Continuous Self-Attention Models with Neural ODE Networks. AAAI 2021: 14393-14401 - [c37]Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang:
Exploring Discourse Structures for Argument Impact Classification. ACL/IJCNLP (1) 2021: 3958-3969 - [c36]Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jin Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King:
BinaryBERT: Pushing the Limit of BERT Quantization. ACL/IJCNLP (1) 2021: 4334-4348 - [c35]Yichun Yin, Cheng Chen, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models. ACL/IJCNLP (1) 2021: 5146-5157 - [c34]Zhiqi Huang, Lu Hou, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
GhostBERT: Generate More Features with Cheap Operations for BERT. ACL/IJCNLP (1) 2021: 6512-6523 - [c33]Daxin Tan, Liqun Deng, Yu Ting Yeung, Xin Jiang, Xiao Chen, Tan Lee:
EditSpeech: A Text Based Speech Editing System Using Partial Inference and Bidirectional Fusion. ASRU 2021: 626-633 - [c32]Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu:
Generate & Rank: A Multi-task Framework for Math Word Problems. EMNLP (Findings) 2021: 2269-2279 - [c31]Baojun Wang, Zhao Zhang, Kun Xu, Guang-Yuan Hao, Yuyang Zhang, Lifeng Shang, Linlin Li, Xiao Chen, Xin Jiang, Qun Liu:
DyLex: Incorporating Dynamic Lexicons into BERT for Sequence Labeling. EMNLP (1) 2021: 2679-2693 - [c30]Chenyang Lyu, Lifeng Shang, Yvette Graham, Jennifer Foster, Xin Jiang, Qun Liu:
Improving Unsupervised Question Answering via Summarization-Informed Question Generation. EMNLP (1) 2021: 4134-4148 - [c29]Cheng Chen, Yichun Yin, Lifeng Shang, Zhi Wang, Xin Jiang, Xiao Chen, Qun Liu:
Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation. ICANN (3) 2021: 570-581 - [c28]Benyou Wang, Lifeng Shang, Christina Lioma, Xin Jiang, Hao Yang, Qun Liu, Jakob Grue Simonsen:
On Position Embeddings in BERT. ICLR 2021 - [c27]Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma:
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. ICLR 2021 - [c26]Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma:
Improved OOD Generalization via Adversarial Training and Pretraing. ICML 2021: 11987-11997 - [i60]Zhengyan Zhang, Guangxuan Xiao, Yongwei Li, Tian Lv, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Xin Jiang, Maosong Sun:
Red Alarm for Pre-trained Models: Universal Vulnerabilities by Neuron-Level Backdoor Attacks. CoRR abs/2101.06969 (2021) - [i59]Junqiu Wei, Qun Liu, Yinpeng Guo, Xin Jiang:
Training Multilingual Pre-trained Language Model with Byte-level Subwords. CoRR abs/2101.09469 (2021) - [i58]Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu:
LightMBERT: A Simple Yet Effective Method for Multilingual BERT Distillation. CoRR abs/2103.06418 (2021) - [i57]Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma:
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. CoRR abs/2103.08933 (2021) - [i56]Tong Cui, Jinghui Xiao, Liangyou Li, Xin Jiang, Qun Liu:
An Approach to Improve Robustness of NLP Systems against ASR Errors. CoRR abs/2103.13610 (2021) - [i55]Cheng Chen, Yichun Yin, Lifeng Shang, Zhi Wang, Xin Jiang, Xiao Chen, Qun Liu:
Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation. CoRR abs/2104.11928 (2021) - [i54]Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, Yaowei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian:
PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation. CoRR abs/2104.12369 (2021) - [i53]Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma:
Improved OOD Generalization via Adversarial Training and Pre-training. CoRR abs/2105.11144 (2021) - [i52]Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang:
Exploring Discourse Structures for Argument Impact Classification. CoRR abs/2106.00976 (2021) - [i51]Yinpeng Guo, Liangyou Li, Xin Jiang, Qun Liu:
Learning Multilingual Representation for Natural Language Understanding with Enhanced Cross-Lingual Supervision. CoRR abs/2106.05166 (2021) - [i50]Daxin Tan, Liqun Deng, Yu Ting Yeung, Xin Jiang, Xiao Chen, Tan Lee:
EditSpeech: A Text Based Speech Editing System Using Partial Inference and Bidirectional Fusion. CoRR abs/2107.01554 (2021) - [i49]Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li:
AutoBERT-Zero: Evolving BERT Backbone from Scratch. CoRR abs/2107.07445 (2021) - [i48]Yichun Yin, Cheng Chen, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models. CoRR abs/2107.13686 (2021) - [i47]Xin Wang, Yasheng Wang, Pingyi Zhou, Fei Mi, Meng Xiao, Yadao Wang, Li Li, Xiao Liu, Hao Wu, Jin Liu, Xin Jiang:
CLSEBERT: Contrastive Learning for Syntax Enhanced Code Pre-Trained Model. CoRR abs/2108.04556 (2021) - [i46]Shaobo Li, Qun Liu, Xin Jiang, Yichun Yin, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Lifeng Shang:
Integrating Regular Expressions with Neural Networks via DFA. CoRR abs/2109.02882 (2021) - [i45]Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu:
Generate & Rank: A Multi-task Framework for Math Word Problems. CoRR abs/2109.03034 (2021) - [i44]Zhihua Jin, Xin Jiang, Xingbo Wang, Qun Liu, Yong Wang, Xiaozhe Ren, Huamin Qu:
NumGPT: Improving Numeracy Ability of Generative Pre-trained Models. CoRR abs/2109.03137 (2021) - [i43]Fei Mi, Yitong Li, Yasheng Wang, Xin Jiang, Qun Liu:
CINS: Comprehensive Instruction for Few-shot Learning in Task-oriented Dialog Systems. CoRR abs/2109.04645 (2021) - [i42]Zhengkun Zhang, Xiaojun Meng, Yasheng Wang, Xin Jiang, Qun Liu, Zhenglu Yang:
UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation. CoRR abs/2109.05812 (2021) - [i41]Chenyang Lyu, Lifeng Shang, Yvette Graham, Jennifer Foster, Xin Jiang, Qun Liu:
Improving Unsupervised Question Answering via Summarization-Informed Question Generation. CoRR abs/2109.07954 (2021) - [i40]Baojun Wang, Zhao Zhang, Kun Xu, Guang-Yuan Hao, Yuyang Zhang, Lifeng Shang, Linlin Li, Xiao Chen, Xin Jiang, Qun Liu:
DyLex: Incorporating Dynamic Lexicons into BERT for Sequence Labeling. CoRR abs/2109.08818 (2021) - [i39]Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu:
Towards Efficient Post-training Quantization of Pre-trained Language Models. CoRR abs/2109.15082 (2021) - [i38]Cheng Chen, Yichun Yin, Lifeng Shang, Xin Jiang, Yujia Qin, Fengyu Wang, Zhi Wang, Xiao Chen, Zhiyuan Liu, Qun Liu:
bert2BERT: Towards Reusable Pretrained Language Models. CoRR abs/2110.07143 (2021) - [i37]Xinyan Zhao, Bin He, Yasheng Wang, Yitong Li, Fei Mi, Yajiao Liu, Xin Jiang, Qun Liu, Huanhuan Chen:
UniDS: A Unified Dialogue System for Chit-Chat and Task-oriented Dialogues. CoRR abs/2110.08032 (2021) - [i36]Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu:
FILIP: Fine-grained Interactive Language-Image Pre-Training. CoRR abs/2111.07783 (2021) - [i35]Nianzu Zheng, Liqun Deng, Wenyong Huang, Yu Ting Yeung, Baohua Xu, Yuanyuan Guo, Yasheng Wang, Xin Jiang, Qun Liu:
CCA-MDD: A Coupled Cross-Attention based Framework for Streaming Mispronunciation detection and diagnosis. CoRR abs/2111.08191 (2021) - [i34]Abbas Ghaddar, Yimeng Wu, Ahmad Rashid, Khalil Bibi, Mehdi Rezagholizadeh, Chao Xing, Yasheng Wang, Duan Xinyu, Zhefeng Wang, Baoxing Huai, Xin Jiang, Qun Liu, Philippe Langlais:
JABER: Junior Arabic BERt. CoRR abs/2112.04329 (2021) - [i33]Mengjie Zhao, Fei Mi, Yasheng Wang, Minglei Li, Xin Jiang, Qun Liu, Hinrich Schütze:
LMTurk: Few-Shot Learners as Crowdsourcing Workers. CoRR abs/2112.07522 (2021) - 2020
- [c25]Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
Dialog State Tracking with Reinforced Data Augmentation. AAAI 2020: 9474-9481 - [c24]Yi Liao, Xin Jiang, Qun Liu:
Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order. ACL 2020: 263-274 - [c23]Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu:
TernaryBERT: Distillation-aware Ultra-low Bit BERT. EMNLP (1) 2020: 509-521 - [c22]Yun Chen, Yang Liu, Guanhua Chen, Xin Jiang, Qun Liu:
Accurate Word Alignment Induction from Neural Machine Translation. EMNLP (1) 2020: 566-576 - [c21]Yudong Zhu, Di Zhou, Jinghui Xiao, Xin Jiang, Xiao Chen, Qun Liu:
HyperText: Endowing FastText with Hyperbolic Geometry. EMNLP (Findings) 2020: 1166-1171 - [c20]Bin He, Di Zhou, Jinghui Xiao, Xin Jiang, Qun Liu, Nicholas Jing Yuan, Tong Xu:
Integrating Graph Contextualized Knowledge into Pre-trained Language Models. EMNLP (Findings) 2020: 2281-2290 - [c19]Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu:
TinyBERT: Distilling BERT for Natural Language Understanding. EMNLP (Findings) 2020: 4163-4174 - [c18]Nabiha Asghar, Lili Mou, Kira A. Selby, Kevin D. Pantasdo, Pascal Poupart, Xin Jiang:
Progressive Memory Banks for Incremental Domain Adaptation. ICLR 2020 - [c17]Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang:
On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification. IJCAI 2020: 3830-3836 - [c16]Yun Chen, Liangyou Li, Xin Jiang, Xiao Chen, Qun Liu:
A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation. AACL/IJCNLP 2020: 191-200 - [c15]Yangbin Chen, Tom Ko, Lifeng Shang, Xiao Chen, Xin Jiang, Qing Li:
An Investigation of Few-Shot Learning in Spoken Term Classification. INTERSPEECH 2020: 2582-2586 - [c14]Xin Liu, Haojie Pan, Mutian He, Yangqiu Song, Xin Jiang, Lifeng Shang:
Neural Subgraph Isomorphism Counting. KDD 2020: 1959-1969 - [c13]Lu Hou, Zhiqi Huang, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
DynaBERT: Dynamic BERT with Adaptive Width and Depth. NeurIPS 2020 - [c12]Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King:
Unsupervised Text Generation by Learning from Search. NeurIPS 2020 - [i32]Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu:
DynaBERT: Dynamic BERT with Adaptive Width and Depth. CoRR abs/2004.04037 (2020) - [i31]Yi Liao, Xin Jiang, Qun Liu:
Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order. CoRR abs/2004.11579 (2020) - [i30]Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang:
On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification. CoRR abs/2004.12617 (2020) - [i29]Yun Chen, Yang Liu, Guanhua Chen, Xin Jiang, Qun Liu:
Accurate Word Alignment Induction from Neural Machine Translation. CoRR abs/2004.14837 (2020) - [i28]Meng Zhang, Xin Jiang, Yang Liu, Qun Liu:
Learning to Detect Unacceptable Machine Translations for Downstream Tasks. CoRR abs/2005.03925 (2020) - [i27]Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King:
Unsupervised Text Generation by Learning from Search. CoRR abs/2007.08557 (2020) - [i26]Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu:
TernaryBERT: Distillation-aware Ultra-low Bit BERT. CoRR abs/2009.12812 (2020) - [i25]Yudong Zhu, Di Zhou, Jinghui Xiao, Xin Jiang, Xiao Chen, Qun Liu:
HyperText: Endowing FastText with Hyperbolic Geometry. CoRR abs/2010.16143 (2020) - [i24]Bin He, Xin Jiang, Jinghui Xiao, Qun Liu:
KgPLM: Knowledge-guided Language Model Pre-training via Generative and Discriminative Learning. CoRR abs/2012.03551 (2020) - [i23]Bin He, Di Zhou, Jing Xie, Jinghui Xiao, Xin Jiang, Qun Liu:
PPKE: Knowledge Representation Learning by Path-based Pre-training. CoRR abs/2012.03573 (2020) - [i22]Xiaoqi Jiao, Huating Chang, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu:
Improving Task-Agnostic BERT Distillation with Layer Mapping Search. CoRR abs/2012.06153 (2020) - [i21]Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, Bingquan Liu:
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions. CoRR abs/2012.15534 (2020) - [i20]Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King:
BinaryBERT: Pushing the Limit of BERT Quantization. CoRR abs/2012.15701 (2020)
2010 – 2019
- 2019
- [c11]Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu:
ERNIE: Enhanced Language Representation with Informative Entities. ACL (1) 2019: 1441-1451 - [c10]Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu:
Decomposable Neural Paraphrase Generation. ACL (1) 2019: 3403-3414 - [c9]Lihua Qian, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu:
Exploring Diverse Expressions for Paraphrase Generation. EMNLP/IJCNLP (1) 2019: 3171-3180 - [c8]Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu:
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence. SIGIR 2019: 455-464 - [i19]Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu:
ERNIE: Enhanced Language Representation with Informative Entities. CoRR abs/1905.07129 (2019) - [i18]Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu:
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence. CoRR abs/1906.01965 (2019) - [i17]Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu:
Decomposable Neural Paraphrase Generation. CoRR abs/1906.09741 (2019) - [i16]Yi Liao, Yasheng Wang, Qun Liu, Xin Jiang:
GPT-based Generation for Classical Chinese Poetry. CoRR abs/1907.00151 (2019) - [i15]Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
Dialog State Tracking with Reinforced Data Augmentation. CoRR abs/1908.07795 (2019) - [i14]Junqiu Wei, Xiaozhe Ren, Xiaoguang Li, Wenyong Huang, Yi Liao, Yasheng Wang, Jiashu Lin, Xin Jiang, Xiao Chen, Qun Liu:
NEZHA: Neural Contextualized Representation for Chinese Language Understanding. CoRR abs/1909.00204 (2019) - [i13]Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu:
TinyBERT: Distilling BERT for Natural Language Understanding. CoRR abs/1909.10351 (2019) - [i12]Liangyou Li, Xin Jiang, Qun Liu:
Pretrained Language Models for Document-Level Neural Machine Translation. CoRR abs/1911.03110 (2019) - [i11]Yun Chen, Liangyou Li, Xin Jiang, Xiao Chen, Qun Liu:
How to Do Simultaneous Translation Better with Consecutive Neural Machine Translation? CoRR abs/1911.03154 (2019) - [i10]Yinpeng Guo, Yi Liao, Xin Jiang, Qing Zhang, Yibo Zhang, Qun Liu:
Zero-Shot Paraphrase Generation with Multilingual Language Models. CoRR abs/1911.03597 (2019) - [i9]Bin He, Di Zhou, Jinghui Xiao, Xin Jiang, Qun Liu, Nicholas Jing Yuan, Tong Xu:
Integrating Graph Contextualized Knowledge into Pre-trained Language Models. CoRR abs/1912.00147 (2019) - [i8]Xin Liu, Haojie Pan, Mutian He, Yangqiu Song, Xin Jiang:
Neural Subgraph Isomorphism Counting. CoRR abs/1912.11589 (2019) - 2018
- [c7]Nabiha Asghar, Pascal Poupart, Jesse Hoey, Xin Jiang, Lili Mou:
Affective Neural Response Generation. ECIR 2018: 154-166 - [c6]Zichao Li, Xin Jiang, Lifeng Shang, Hang Li:
Paraphrase Generation with Deep Reinforcement Learning. EMNLP 2018: 3865-3878 - [i7]Nabiha Asghar, Lili Mou, Kira A. Selby, Kevin D. Pantasdo, Pascal Poupart, Xin Jiang:
Progressive Memory Banks for Incremental Domain Adaptation. CoRR abs/1811.00239 (2018) - [i6]Yangbin Chen, Tom Ko, Lifeng Shang, Xiao Chen, Xin Jiang, Qing Li:
Meta Learning for Few-shot Keyword Spotting. CoRR abs/1812.10233 (2018) - 2017
- [c5]Nabiha Asghar, Pascal Poupart, Xin Jiang, Hang Li:
Deep Active Learning for Dialogue Generation. *SEM 2017: 78-83 - [i5]Nabiha Asghar, Pascal Poupart, Jesse Hoey, Xin Jiang, Lili Mou:
Affective Neural Response Generation. CoRR abs/1709.03968 (2017) - [i4]Zichao Li, Xin Jiang, Lifeng Shang, Hang Li:
Paraphrase Generation with Deep Reinforcement Learning. CoRR abs/1711.00279 (2017) - 2016
- [c4]Shuxin Wang, Xin Jiang, Hang Li, Jun Xu, Bin Wang:
Incorporating Semantic Knowledge into Latent Matching Model in Search. AIRS 2016: 29-41 - [c3]Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li:
Neural Generative Question Answering. IJCAI 2016: 2972-2978 - [i3]Shuxin Wang, Xin Jiang, Hang Li, Jun Xu, Bin Wang:
Incorporating Semantic Knowledge into Latent Matching Model in Search. CoRR abs/1604.06270 (2016) - [i2]Nabiha Asghar, Pascal Poupart, Xin Jiang, Hang Li:
Online Sequence-to-Sequence Active Learning for Open-Domain Dialogue Generation. CoRR abs/1612.03929 (2016) - 2015
- [i1]Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li:
Neural Generative Question Answering. CoRR abs/1512.01337 (2015) - 2014
- [c2]Fangzhao Wu, Jun Xu, Hang Li, Xin Jiang:
Ranking Optimization with Constraints. CIKM 2014: 1049-1058
2000 – 2009
- 2009
- [c1]Xin Jiang, Yunhua Hu, Hang Li:
A ranking approach to keyphrase extraction. SIGIR 2009: 756-757
Coauthor Index
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