Zhifang Sui

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 154

Top Venues

CoRR

ACL (1)

EMNLP

EMNLP (Findings)

Publications

Yixin Yang, Zheng Li, Qingxiu Dong, Heming Xia, Zhifang Sui
Can Large Multimodal Models Uncover Deep Semantics Behind Images? CoRR (2024)
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 (2024)
Fangwei Zhu, Damai Dai, Zhifang Sui
Language Models Understand Numbers, at Least Partially. CoRR (2024)
Damai Dai, Chengqi Deng, Chenggang Zhao, R. X. Xu, Huazuo Gao, Deli Chen, Jiashi Li, Wangding Zeng, Xingkai Yu, Y. Wu, Zhenda Xie, Y. K. Li, Panpan Huang, Fuli Luo, Chong Ruan, Zhifang Sui, Wenfeng Liang
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models. CoRR (2024)
Xin Zheng, Tianyu Liu, Haoran Meng, Xu Wang, Yufan Jiang, Meng-Liang Rao, Binghuai Lin, Yunbo Cao, Zhifang Sui
DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog. EMNLP (Findings) (2023)
Damai Dai, Yutao Sun, Li Dong, Yaru Hao, Shuming Ma, Zhifang Sui, Furu Wei
Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. ACL (Findings) (2023)
Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang
Guiding AMR Parsing with Reverse Graph Linearization. EMNLP (Findings) (2023)
Fangwei Zhu, Jifan Yu, Hailong Jin, Lei Hou, Juanzi Li, Zhifang Sui
Learn to Not Link: Exploring NIL Prediction in Entity Linking. ACL (Findings) (2023)
Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li
Statistical Knowledge Assessment for Large Language Models. NeurIPS (2023)
Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang
Guiding AMR Parsing with Reverse Graph Linearization. CoRR (2023)
Yifan Song, Peiyi Wang, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li
RepCL: Exploring Effective Representation for Continual Text Classification. CoRR (2023)
Shaoxiang Wu, Damai Dai, Ziwei Qin, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui
Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion. ACL (1) (2023)
Peiyi Wang, Lei Li, Liang Chen, Feifan Song, Binghuai Lin, Yunbo Cao, Tianyu Liu, Zhifang Sui
Making Large Language Models Better Reasoners with Alignment. CoRR (2023)
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 (2023)
Damai Dai, Wenbin Jiang, Qingxiu Dong, Yajuan Lyu, Zhifang Sui
Neural Knowledge Bank for Pretrained Transformers. NLPCC (2) (2023)
Shoujie Tong, Heming Xia, Damai Dai, Runxin Xu, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui
Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization. EMNLP (Findings) (2023)
Damai Dai, Wenbin Jiang, Jiyuan Zhang, Yajuan Lyu, Zhifang Sui, Baobao Chang
Mixture-of-Experts for Biomedical Question Answering. NLPCC (1) (2023)
Shaoxiang Wu, Damai Dai, Ziwei Qin, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui
Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion. CoRR (2023)
Zhe Yang, Damai Dai, Peiyi Wang, Zhifang Sui
Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning. EMNLP (Findings) (2023)
Yifan Song, Peiyi Wang, Weimin Xiong, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective. EMNLP (Findings) (2023)
Zhe Yang, Damai Dai, Peiyi Wang, Zhifang Sui
Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning. CoRR (2023)
Heming Xia, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui
Enhancing Continual Relation Extraction via Classifier Decomposition. ACL (Findings) (2023)
Heming Xia, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui
Enhancing Continual Relation Extraction via Classifier Decomposition. CoRR (2023)
Shoujie Tong, Heming Xia, Damai Dai, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui
Bi-Drop: Generalizable Fine-tuning for Pre-trained Language Models via Adaptive Subnetwork Optimization. CoRR (2023)
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)
Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li
Statistical Knowledge Assessment for Generative Language Models. CoRR (2023)
Damai Dai, Jing Ren, Shuang Zeng, Baobao Chang, Zhifang Sui
Coarse-to-Fine Entity Representations for Document-Level Relation Extraction. NLPCC (2) (2023)
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 (2023)
Heming Xia, Tao Ge, Peiyi Wang, Si-Qing Chen, Furu Wei, Zhifang Sui
Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation. EMNLP (Findings) (2023)
Yifan Song, Peiyi Wang, Weimin Xiong, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective. CoRR (2023)
Peiyi Wang, Lei Li, Zhihong Shao, R. X. Xu, Damai Dai, Yifei Li, Deli Chen, Y. Wu, Zhifang Sui
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations. CoRR (2023)
Fangwei Zhu, Jifan Yu, Hailong Jin, Juanzi Li, Lei Hou, Zhifang Sui
Learn to Not Link: Exploring NIL Prediction in Entity Linking. CoRR (2023)
Heming Xia, Qingxiu Dong, Lei Li, Jingjing Xu, Ziwei Qin, Zhifang Sui
ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. CoRR (2023)
Peiyi Wang, Lei Li, Liang Chen, Dawei Zhu, Binghuai Lin, Yunbo Cao, Qi Liu, Tianyu Liu, Zhifang Sui
Large Language Models are not Fair Evaluators. CoRR (2023)
Qingxiu Dong, Damai Dai, Yifan Song, Jingjing Xu, Zhifang Sui, Lei Li
Calibrating Factual Knowledge in Pretrained Language Models. EMNLP (Findings) (2022)
Ningyu Zhang, Mosha Chen, Zhen Bi, Xiaozhuan Liang, Lei Li, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Buzhou Tang, Qingcai Chen
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. ACL (1) (2022)
Zihan Wang, Peiyi Wang, Tianyu Liu, Yunbo Cao, Zhifang Sui, Houfeng Wang
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification. CoRR (2022)
Peiyi Wang, Yifan Song, Tianyu Liu, Binghuai Lin, Yunbo Cao, Sujian Li, Zhifang Sui
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation. EMNLP (2022)
Peiyi Wang, Yifan Song, Tianyu Liu, Rundong Gao, Binghuai Lin, Yunbo Cao, Zhifang Sui
Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach. CoRR (2022)
Damai Dai, Wenbin Jiang, Jiyuan Zhang, Weihua Peng, Yajuan Lyu, Zhifang Sui, Baobao Chang, Yong Zhu
Mixture of Experts for Biomedical Question Answering. CoRR (2022)
Jing Ren, Tianyang Cao, Yifan Yang, Yunyan Zhang, Xi Chen, Tian Feng, Baobao Chang, Zhifang Sui, Ruihui Zhao, Yefeng Zheng, Bang Liu
CLINER: Clinical Interrogation Named Entity Recognition. KSEM (2) (2022)
Damai Dai, Hua Zheng, Zhifang Sui, Baobao Chang
Plug-and-Play Module for Commonsense Reasoning in Machine Reading Comprehension. NLPCC (2) (2022)
Heming Xia, Tao Ge, Furu Wei, Zhifang Sui
Lossless Speedup of Autoregressive Translation with Generalized Aggressive Decoding. CoRR (2022)
Damai Dai, Wenbin Jiang, Qingxiu Dong, Yajuan Lyu, Qiaoqiao She, Zhifang Sui
Neural Knowledge Bank for Pretrained Transformers. CoRR (2022)
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)
Tianyu Liu, Yizhe Zhang, Chris Brockett, Yi Mao, Zhifang Sui, Weizhu Chen, Bill Dolan
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation. ACL (1) (2022)
Damai Dai, Li Dong, Shuming Ma, Bo Zheng, Zhifang Sui, Baobao Chang, Furu Wei
StableMoE: Stable Routing Strategy for Mixture of Experts. ACL (1) (2022)
Haoran Meng, Zheng Xin, Tianyu Liu, Zizhen Wang, He Feng, Binghuai Lin, Xuemin Zhao, Yunbo Cao, Zhifang Sui
DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection. EMNLP (Findings) (2022)
Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. NAACL-HLT (2022)
Peiyi Wang, Liang Chen, Tianyu Liu, Damai Dai, Yunbo Cao, Baobao Chang, Zhifang Sui
Hierarchical Curriculum Learning for AMR Parsing. ACL (2) (2022)
Damai Dai, Li Dong, Yaru Hao, Zhifang Sui, Baobao Chang, Furu Wei
Knowledge Neurons in Pretrained Transformers. ACL (1) (2022)
Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. NAACL-HLT (2022)
Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. CoRR (2022)
Damai Dai, Li Dong, Shuming Ma, Bo Zheng, Zhifang Sui, Baobao Chang, Furu Wei
StableMoE: Stable Routing Strategy for Mixture of Experts. CoRR (2022)
Zihan Wang, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui, Houfeng Wang
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification. EMNLP (2022)
Qingxiu Dong, Damai Dai, Yifan Song, Jingjing Xu, Zhifang Sui, Lei Li
Calibrating Factual Knowledge in Pretrained Language Models. CoRR (2022)
Chengwen Wang, Qingxiu Dong, Xiaochen Wang, Haitao Wang, Zhifang Sui
Statistical Dataset Evaluation: Reliability, Difficulty, and Validity. CoRR (2022)
Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. CoRR (2022)
Peiyi Wang, Yifan Song, Tianyu Liu, Binghuai Lin, Yunbo Cao, Sujian Li, Zhifang Sui
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation. CoRR (2022)
Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. NAACL-HLT (Findings) (2022)
Xin Zheng, Tianyu Liu, Haoran Meng, Xu Wang, Yufan Jiang, Meng-Liang Rao, Binghuai Lin, Zhifang Sui, Yunbo Cao
DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog. CoRR (2022)
Damai Dai, Yutao Sun, Li Dong, Yaru Hao, Zhifang Sui, Furu Wei
Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. CoRR (2022)
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)
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 (2022)
Haoran Meng, Zheng Xin, Tianyu Liu, Zizhen Wang, He Feng, Binghuai Lin, Xuemin Zhao, Yunbo Cao, Zhifang Sui
DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection. CoRR (2022)
Weiming Peng, Zuntian Wei, Jihua Song, Shiwen Yu, Zhifang Sui
Formalized Chinese Sentence Pattern Structure and Its Hierarchical Analysis. CLSW (1) (2021)
Damai Dai, Hua Zheng, Zhifang Sui, Baobao Chang
Incorporating Connections Beyond Knowledge Embeddings: A Plug-and-Play Module to Enhance Commonsense Reasoning in Machine Reading Comprehension. CoRR (2021)
Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. CIKM (2021)
Hua Zheng, Damai Dai, Lei Li, Tianyu Liu, Zhifang Sui, Baobao Chang, Yang Liu
Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation. NAACL-HLT (2021)
Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. CoRR (2021)
Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui
Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. AAAI (2021)
Chengwen Wang, Xiang Liu, Gaoqi Rao, Endong Xun, Zhifang Sui
Chinese Predicate Chunk Knowledge Base Construction and Internal Boundary Recognition. CLSW (2) (2021)
Qingxiu Dong, Zhifang Sui, Weidong Zhan, Baobao Chang
Problems and Countermeasures in Natural Language Processing Evaluation. CoRR (2021)
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 (2021)
Qiaolin Xia, Haoyang Huang, Nan Duan, Dongdong Zhang, Lei Ji, Zhifang Sui, Edward Cui, Taroon Bharti, Ming Zhou
XGPT: Cross-modal Generative Pre-Training for Image Captioning. NLPCC (1) (2021)
Chengwen Wang, Gaoqi Rao, Endong Xun, Zhifang Sui
Chunk Extraction and Analysis Based on Frame-Verbs. CLSW (1) (2021)
Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui
Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. CoRR (2021)
Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. CoRR (2021)
Damai Dai, Hua Zheng, Fuli Luo, Pengcheng Yang, Tianyu Liu, Zhifang Sui, Baobao Chang
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. RepL4NLP@ACL-IJCNLP (2021)
Tianyu Liu, Yizhe Zhang, Chris Brockett, Yi Mao, Zhifang Sui, Weizhu Chen, Bill Dolan
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation. CoRR (2021)
Damai Dai, Li Dong, Yaru Hao, Zhifang Sui, Furu Wei
Knowledge Neurons in Pretrained Transformers. CoRR (2021)
Peiyi Wang, Lianzhe Huang, Tianyu Liu, Damai Dai, Runxin Xu, Houfeng Wang, Baobao Chang, Zhifang Sui
Explicit Interaction Network for Aspect Sentiment Triplet Extraction. CoRR (2021)
Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Lei Li, Xiang Chen, Shumin Deng, Luoqiu Li, Xin Xie, Hongbin Ye, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Mosha Chen, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Huajun Chen, Buzhou Tang, Qingcai Chen
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. CoRR (2021)
Peiyi Wang, Liang Chen, Tianyu Liu, Baobao Chang, Zhifang Sui
Hierarchical Curriculum Learning for AMR Parsing. CoRR (2021)
Hongying Zan, Wenxin Li, Kunli Zhang, Yajuan Ye, Baobao Chang, Zhifang Sui
Building a Pediatric Medical Corpus: Word Segmentation and Named Entity Annotation. CLSW (2020)
Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. CoRR (2020)
Tianyu Liu, Xin Zheng, Xiaoan Ding, Baobao Chang, Zhifang Sui
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference. CoRR (2020)
Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. CoRR (2020)
Kexiang Wang, Baobao Chang, Zhifang Sui
Soap: Soaking Capacity Optimization for Multi-Document Summarization. CIKM (2020)
Tianyu Liu, Xin Zheng, Xiaoan Ding, Baobao Chang, Zhifang Sui
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference. CoNLL (2020)
Damai Dai, Hua Zheng, Fuli Luo, Pengcheng Yang, Baobao Chang, Zhifang Sui
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. CoRR (2020)
Kunli Zhang, Xiaohui Ren, Lei Zhuang, Hongying Zan, Weicong Zhang, Zhifang Sui
Construction of Chinese Medicine Knowledge Base. CLSW (2020)
Damai Dai, Jing Ren, Shuang Zeng, Baobao Chang, Zhifang Sui
Coarse-to-Fine Entity Representations for Document-level Relation Extraction. CoRR (2020)
Kexiang Wang, Tianyu Liu, Baobao Chang, Zhifang Sui
An Anchor-Based Automatic Evaluation Metric for Document Summarization. COLING (2020)
Kexiang Wang, Baobao Chang, Zhifang Sui
A Spectral Method for Unsupervised Multi-Document Summarization. EMNLP (1) (2020)
Qiaolin Xia, Haoyang Huang, Nan Duan, Dongdong Zhang, Lei Ji, Zhifang Sui, Edward Cui, Taroon Bharti, Xin Liu, Ming Zhou
XGPT: Cross-modal Generative Pre-Training for Image Captioning. CoRR (2020)
Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. LREC (2020)
Qiaolin Xia, Xiujun Li, Chunyuan Li, Yonatan Bisk, Zhifang Sui, Jianfeng Gao, Yejin Choi, Noah A. Smith
Multi-View Learning for Vision-and-Language Navigation. CoRR (2020)
Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. EMNLP (1) (2020)
Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang, Zhifang Sui
Towards Comprehensive Description Generation from Factual Attribute-value Tables. ACL (1) (2019)

Zhifang Sui.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Zhifang Sui