Peng Li

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 119

Top Venues

CoRR

ACL (1)

EMNLP (1)

IEEE ACM Trans. Audio Speech Lang. Process.

Publications

Ziyue Wang, Chi Chen, Yiqi Zhu, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu
Browse and Concentrate: Comprehending Multimodal Content via prior-LLM Context Fusion. CoRR (2024)
Zijun Liu, Boqun Kou, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu
Meta Ranking: Less Capable Language Models are Capable for Single Response Judgement. CoRR (2024)
Zhicheng Guo, Sijie Cheng, Hao Wang, Shihao Liang, Yujia Qin, Peng Li, Zhiyuan Liu, Maosong Sun, Yang Liu
StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models. ACL (Findings) (2024)
Yile Wang, Yue Zhang, Peng Li, Yang Liu
Gradual Syntactic Label Replacement for Language Model Pre-Training. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Chi Chen, Yiyang Du, Zheng Fang, Ziyue Wang, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu
Model Composition for Multimodal Large Language Models. CoRR (2024)
Fuwen Luo, Chi Chen, Zihao Wan, Zhaolu Kang, Qidong Yan, Yingjie Li, Xiaolong Wang, Siyu Wang, Ziyue Wang, Xiaoyue Mi, Peng Li, Ning Ma, Maosong Sun, Yang Liu
CODIS: Benchmarking Context-Dependent Visual Comprehension for Multimodal Large Language Models. CoRR (2024)
Yuanhang Zheng, Zhixing Tan, Peng Li, Yang Liu
Black-Box Prompt Tuning With Subspace Learning. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Yuzhuang Xu, Shuo Wang, Peng Li, Xuebo Liu, Xiaolong Wang, Weidong Liu, Yang Liu
Pluggable Neural Machine Translation Models via Memory-augmented Adapters. LREC/COLING (2024)
Fuwen Luo, Chi Chen, Zihao Wan, Zhaolu Kang, Qidong Yan, Yingjie Li, Xiaolong Wang, Siyu Wang, Ziyue Wang, Xiaoyue Mi, Peng Li, Ning Ma, Maosong Sun, Yang Liu
CODIS: Benchmarking Context-dependent Visual Comprehension for Multimodal Large Language Models. ACL (1) (2024)
Yuanhang Zheng, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu
Budget-Constrained Tool Learning with Planning. CoRR (2024)
Yuanchi Zhang, Yile Wang, Zijun Liu, Shuo Wang, Xiaolong Wang, Peng Li, Maosong Sun, Yang Liu
Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages. ACL (1) (2024)
Zonghan Yang, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu
ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy. CoRR (2024)
Chi Chen, Yiyang Du, Zheng Fang, Ziyue Wang, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu
Model Composition for Multimodal Large Language Models. ACL (1) (2024)
Ziyue Wang, Chi Chen, Yiqi Zhu, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu
Browse and Concentrate: Comprehending Multimodal Content via Prior-LLM Context Fusion. ACL (1) (2024)
Yujia Qin, Xiaozhi Wang, Yusheng Su, Yankai Lin, Ning Ding, Jing Yi, Weize Chen, Zhiyuan Liu, Juanzi Li, Lei Hou, Peng Li, Maosong Sun, Jie Zhou
Exploring Universal Intrinsic Task Subspace for Few-Shot Learning via Prompt Tuning. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Yile Wang, Sijie Cheng, Zixin Sun, Peng Li, Yang Liu
Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models. CoRR (2024)
Tianyuan Zou, Yang Liu, Peng Li, Jianqing Zhang, Jingjing Liu, Ya-Qin Zhang
FuseGen: PLM Fusion for Data-generation based Zero-shot Learning. CoRR (2024)
Sijie Cheng, Zhicheng Guo, Jingwen Wu, Kechen Fang, Peng Li, Huaping Liu, Yang Liu
Can Vision-Language Models Think from a First-Person Perspective? CoRR (2023)
Zeyuan Yang, Zonghan Yang, Yichen Liu, Peng Li, Yang Liu
Restricted orthogonal gradient projection for continual learning. AI Open 4 (2023)
Kaiyu Huang, Peng Li, Jin Ma, Ting Yao, Yang Liu
Knowledge Transfer in Incremental Learning for Multilingual Neural Machine Translation. ACL (1) (2023)
Qinhong Zhou, Peng Li, Yang Liu, Yuyang Guan, Qizhou Xing, Ming Chen, Maosong Sun, Yang Liu
AdaDS: Adaptive data selection for accelerating pre-trained language model knowledge distillation. AI Open 4 (2023)
Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization. ICLR (2023)
Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, Yang Liu
Learning to Relate to Previous Turns in Conversational Search. KDD (2023)
Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Huadong Wang, Deming Ye, Chaojun Xiao, Xu Han, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
Plug-and-Play Knowledge Injection for Pre-trained Language Models. CoRR (2023)
Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu
Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics. ICML (2023)
Jifan Yu, Hanming Li, Gan Luo, Yankai Lin, Peng Li, Jianjun Xu, Lei Hou, Bin Xu
Exploring the Effectiveness of Student Behavior in Prerequisite Relation Discovery for Concepts. APWeb/WAIM (4) (2023)
Qinhong Zhou, Zonghan Yang, Peng Li, Yang Liu
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models. ACL (1) (2023)
Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning. Trans. Mach. Learn. Res. 2023 (2023)
Chi Chen, Peng Li, Maosong Sun, Yang Liu
Weakly Supervised Vision-and-Language Pre-training with Relative Representations. ACL (1) (2023)
Yuzhuang Xu, Shuo Wang, Peng Li, Xuebo Liu, Xiaolong Wang, Weidong Liu, Yang Liu
Pluggable Neural Machine Translation Models via Memory-augmented Adapters. CoRR (2023)
Yuanchi Zhang, Peng Li, Maosong Sun, Yang Liu
Continual Knowledge Distillation for Neural Machine Translation. ACL (1) (2023)
Xuancheng Huang, Zijun Liu, Peng Li, Tao Li, Maosong Sun, Yang Liu
An Extensible Plug-and-Play Method for Multi-Aspect Controllable Text Generation. ACL (1) (2023)
Zhicheng Guo, Sijie Cheng, Yile Wang, Peng Li, Yang Liu
Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks. ACL (Findings) (2023)
Deming Ye, Yankai Lin, Peng Li, Maosong Sun
Packed Levitated Marker for Entity and Relation Extraction. ACL (1) (2022)
Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
MoEfication: Transformer Feed-forward Layers are Mixtures of Experts. ACL (Findings) (2022)
Deli Chen, Yankai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification. IJCAI (2022)
Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models. CoRR (2022)
Yujia Qin, Jiajie Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
ELLE: Efficient Lifelong Pre-training for Emerging Data. ACL (Findings) (2022)
Deming Ye, Yankai Lin, Peng Li, Maosong Sun, Zhiyuan Liu
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models. ACL (2) (2022)
Xiaozhi Wang, Yulin Chen, Ning Ding, Hao Peng, Zimu Wang, Yankai Lin, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction. CoRR (2022)
Yujia Qin, Jiajie Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
ELLE: Efficient Lifelong Pre-training for Emerging Data. CoRR (2022)
Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation. CoRR (2022)
YuSheng Su, Xu Han, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Peng Li, Maosong Sun
CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models. CoRR (2021)
Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun
Dynamic Knowledge Distillation for Pre-trained Language Models. EMNLP (1) (2021)
Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou
CLEVE: Contrastive Pre-training for Event Extraction. CoRR (2021)
Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
Fully Hyperbolic Neural Networks. CoRR (2021)
Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun
Dynamic Knowledge Distillation for Pre-trained Language Models. CoRR (2021)
Qiu Ran, Yankai Lin, Peng Li, Jie Zhou
Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information. AAAI (2021)
Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
MoEfication: Conditional Computation of Transformer Models for Efficient Inference. CoRR (2021)
Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning. ACL/IJCNLP (1) (2021)
Feilong Chen, Fandong Meng, Xiuyi Chen, Peng Li, Jie Zhou
Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation. ACL/IJCNLP (Findings) (2021)
Lei Li, Yankai Lin, Deli Chen, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade. EMNLP (Findings) (2021)
Yujia Qin, Xiaozhi Wang, YuSheng Su, Yankai Lin, Ning Ding, Zhiyuan Liu, Juanzi Li, Lei Hou, Peng Li, Maosong Sun, Jie Zhou
Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning. CoRR (2021)
Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou
Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition. NAACL-HLT (2021)
Xiuyi Chen, Feilong Chen, Fandong Meng, Peng Li, Jie Zhou
Unsupervised Knowledge Selection for Dialogue Generation. ACL/IJCNLP (Findings) (2021)
Feilong Chen, Xiuyi Chen, Fandong Meng, Peng Li, Jie Zhou
GoG: Relation-aware Graph-over-Graph Network for Visual Dialog. CoRR (2021)
Yusheng Su, Xu Han, Zhengyan Zhang, Yankai Lin, Peng Li, Zhiyuan Liu, Jie Zhou, Maosong Sun
CokeBERT: Contextual knowledge selection and embedding towards enhanced pre-trained language models. AI Open 2 (2021)
Tianyu Gao, Xu Han, Yuzhuo Bai, Keyue Qiu, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction. ACL/IJCNLP (Findings) (2021)
Tianyu Gao, Xu Han, Keyue Qiu, Yuzhuo Bai, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction. CoRR (2021)
Xianfeng Zeng, Yijin Liu, Ernan Li, Qiu Ran, Fandong Meng, Peng Li, Jinan Xu, Jie Zhou
WeChat Neural Machine Translation Systems for WMT21. CoRR (2021)
Jifan Yu, Yuquan Wang, Qingyang Zhong, Gan Luo, Yiming Mao, Kai Sun, Wenzheng Feng, Wei Xu, Shulin Cao, Kaisheng Zeng, Zijun Yao, Lei Hou, Yankai Lin, Peng Li, Jie Zhou, Bin Xu, Juanzi Li, Jie Tang, Maosong Sun
MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs. CIKM (2021)
Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun
Topology-Imbalance Learning for Semi-Supervised Node Classification. CoRR (2021)
YuSheng Su, Xu Han, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun
CSS-LM: A Contrastive Framework for Semi-Supervised Fine-Tuning of Pre-Trained Language Models. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun
Topology-Imbalance Learning for Semi-Supervised Node Classification. NeurIPS (2021)
Feilong Chen, Fandong Meng, Xiuyi Chen, Peng Li, Jie Zhou
Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation. CoRR (2021)
Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun
RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models. CoRR (2021)
Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou
CLEVE: Contrastive Pre-training for Event Extraction. ACL/IJCNLP (1) (2021)
Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun
RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models. EMNLP (1) (2021)
Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou
MS-Ranker: Accumulating evidence from potentially correct candidates via reinforcement learning for answer selection. Neurocomputing 449 (2021)
Feilong Chen, Xiuyi Chen, Fandong Meng, Peng Li, Jie Zhou
GoG: Relation-aware Graph-over-Graph Network for Visual Dialog. ACL/IJCNLP (Findings) (2021)
Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun
Rethinking Stealthiness of Backdoor Attack against NLP Models. ACL/IJCNLP (1) (2021)
Yujia Qin, Yankai Lin, Jing Yi, Jiajie Zhang, Xu Han, Zhengyan Zhang, YuSheng Su, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
Knowledge Inheritance for Pre-trained Language Models. CoRR (2021)
Huimin Chen, Yankai Lin, Fanchao Qi, Jinyi Hu, Peng Li, Jie Zhou, Maosong Sun
Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework. AAAI (2021)
Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun
Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models. CoRR (2021)
Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou
WeChat Neural Machine Translation Systems for WMT20. WMT@EMNLP (2020)
Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou
Learning from Context or Names? An Empirical Study on Neural Relation Extraction. CoRR (2020)
Lei Li, Yankai Lin, Shuhuai Ren, Deli Chen, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun
Accelerating Pre-trained Language Models via Calibrated Cascade. CoRR (2020)
Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun
Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View. AAAI (2020)
Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning. CoRR (2020)
Xu Han, Yi Dai, Tianyu Gao, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
Continual Relation Learning via Episodic Memory Activation and Reconsolidation. ACL (2020)
Xiaoyu Kou, Yankai Lin, Yuntao Li, Jiahao Xu, Peng Li, Jie Zhou, Yan Zhang
DisenE: Disentangling Knowledge Graph Embeddings. CoRR (2020)
Xiaozhi Wang, Shengyu Jia, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Jie Zhou
Neural Gibbs Sampling for Joint Event Argument Extraction. AACL/IJCNLP (2020)
Xiaoyu Kou, Yankai Lin, Shaobo Liu, Peng Li, Jie Zhou, Yan Zhang
Disentangle-based Continual Graph Representation Learning. EMNLP (1) (2020)
Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. AACL/IJCNLP (2020)
Qiu Ran, Yankai Lin, Peng Li, Jie Zhou
Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation. CoRR (2020)
Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou
MAVEN: A Massive General Domain Event Detection Dataset. CoRR (2020)
Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou
MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection. CoRR (2020)
Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou
WeChat Neural Machine Translation Systems for WMT20. CoRR (2020)
Xiuyi Chen, Fandong Meng, Peng Li, Feilong Chen, Shuang Xu, Bo Xu, Jie Zhou
Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation. EMNLP (1) (2020)
Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou
Learning from Context or Names? An Empirical Study on Neural Relation Extraction. EMNLP (1) (2020)
Qiu Ran, Yankai Lin, Peng Li, Jie Zhou
Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation. ACL (2020)
Deli Chen, Yanyai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun
Distance-wise Graph Contrastive Learning. CoRR (2020)
Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou
DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog. AAAI (2020)
Xiaoyu Kou, Yankai Lin, Shaobo Liu, Peng Li, Jie Zhou, Yan Zhang
Disentangle-based Continual Graph Representation Learning. CoRR (2020)
Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou
MAVEN: A Massive General Domain Event Detection Dataset. EMNLP (1) (2020)
Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. CoRR (2020)
Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Peng Li, Maosong Sun, Zhiyuan Liu
Coreferential Reasoning Learning for Language Representation. EMNLP (1) (2020)
YuSheng Su, Xu Han, Zhengyan Zhang, Peng Li, Zhiyuan Liu, Yankai Lin, Jie Zhou, Maosong Sun
Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models. CoRR (2020)
Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation. CoRR (2019)
Qiu Ran, Yankai Lin, Peng Li, Jie Zhou
Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Peng Li