Wangchunshu Zhou

According to our database, Wangchunshu Zhou authored at least 78 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

X$^{2}$2-VLM: All-in-One Pre-Trained Model for Vision-Language Tasks.

Yan Zeng, Xinsong Zhang, Hang Li, Jiawei Wang, Jipeng Zhang, Wangchunshu Zhou

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions.

Ziming Li, Qianbo Zang, David Ma, Jiawei Guo, Tuney Zheng, Minghao Liu, Xinyao Niu, Yue Wang, Jian Yang, Jiaheng Liu, Wanjun Zhong, Wangchunshu Zhou, Wenhao Huang, Ge Zhang

CoRR, 2024

PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment.

Zekun Moore Wang, Shawn Wang, Kang Zhu, Jiaheng Liu, Ke Xu, Jie Fu, Wangchunshu Zhou, Wenhao Huang

CoRR, 2024

A Comparative Study on Reasoning Patterns of OpenAI's o1 Model.

Siwei Wu, Zhongyuan Peng, Xinrun Du, Tuney Zheng, Minghao Liu, Jialong Wu, Jiachen Ma, Yizhi Li, Jian Yang, Wangchunshu Zhou, Qunshu Lin, Junbo Zhao, Zhaoxiang Zhang, Wenhao Huang, Ge Zhang, Chenghua Lin, Jiaheng Liu

CoRR, 2024

PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness.

Zekun Wang, Feiyu Duan, Yibo Zhang, Wangchunshu Zhou, Ke Xu, Wenhao Huang, Jie Fu

CoRR, 2024

HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models.

Haoran Que, Feiyu Duan, Liqun He, Yutao Mou, Wangchunshu Zhou, Jiaheng Liu, Wenge Rong, Zekun Moore Wang, Jian Yang, Ge Zhang, Junran Peng, Zhaoxiang Zhang, Songyang Zhang, Kai Chen

CoRR, 2024

Towards LifeSpan Cognitive Systems.

Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, Xiusi Chen, Zexue He, Wei Wang, Gholamreza Haffari, Heng Ji, Julian J. McAuley

CoRR, 2024

Symbolic Learning Enables Self-Evolving Agents.

Wangchunshu Zhou, Yixin Ou, Shengwei Ding, Long Li, Jialong Wu, Tiannan Wang, Jiamin Chen, Shuai Wang, Xiaohua Xu, Ningyu Zhang, Huajun Chen, Yuchen Eleanor Jiang

CoRR, 2024

MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series.

Ge Zhang, Scott Qu, Jiaheng Liu, Chenchen Zhang, Chenghua Lin, Chou Leuang Yu, Danny Pan, Esther Cheng, Jie Liu, Qunshu Lin, Raven Yuan, Tuney Zheng, Wei Pang, Xinrun Du, Yiming Liang, Yinghao Ma, Yizhi Li, Ziyang Ma, Bill Y. Lin, Emmanouil Benetos, Huan Yang, Junting Zhou, Kaijing Ma, Minghao Liu, Morry Niu, Noah Wang, Quehry Que, Ruibo Liu, Sine Liu, Shawn Guo, Soren Gao, Wangchunshu Zhou, Xinyue Zhang, Yizhi Zhou, Yubo Wang, Yuelin Bai, Yuhan Zhang, Yuxiang Zhang, Zenith Wang, Zhenzhu Yang, Zijian Zhao, Jiajun Zhang, Wanli Ouyang, Wenhao Huang, Wenhu Chen

CoRR, 2024

MIMIR: A Streamlined Platform for Personalized Agent Tuning in Domain Expertise.

Chunyuan Deng, Xiangru Tang, Yilun Zhao, Hanming Wang, Haoran Wang, Wangchunshu Zhou, Arman Cohan, Mark Gerstein

CoRR, 2024

CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models.

Yizhi Li, Ge Zhang, Xingwei Qu, Jiali Li, Zhaoqun Li, Zekun Wang, Hao Li, Ruibin Yuan, Yinghao Ma, Kai Zhang, Wangchunshu Zhou, Yiming Liang, Lei Zhang, Lei Ma, Jiajun Zhang, Zuowen Li, Stephen W. Huang, Chenghua Lin, Wenhu Chen, Jie Fu

CoRR, 2024

Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science.

Xiangru Tang, Qiao Jin, Kunlun Zhu, Tongxin Yuan, Yichi Zhang, Wangchunshu Zhou, Meng Qu, Yilun Zhao, Jian Tang, Zhuosheng Zhang, Arman Cohan, Zhiyong Lu, Mark Gerstein

CoRR, 2024

Weaver: Foundation Models for Creative Writing.

Tiannan Wang, Jiamin Chen, Qingrui Jia, Shuai Wang, Ruoyu Fang, Huilin Wang, Zhaowei Gao, Chunzhao Xie, Chuou Xu, Jihong Dai, Yibin Liu, Jialong Wu, Shengwei Ding, Long Li, Zhiwei Huang, Xinle Deng, Teng Yu, Gangan Ma, Han Xiao, Zixin Chen, Danjun Xiang, Yunxia Wang, Yuanyuan Zhu, Yi Xiao, Jing Wang, Yiru Wang, Siran Ding, Jiayang Huang, Jiayi Xu, Yilihamu Tayier, Zhenyu Hu, Yuan Gao, Chengfeng Zheng, Yueshu Ye, Yihang Li, Lei Wan, Xinyue Jiang, Yujie Wang, Siyu Cheng, Zhule Song, Xiangru Tang, Xiaohua Xu, Ningyu Zhang, Huajun Chen, Yuchen Eleanor Jiang, Wangchunshu Zhou

CoRR, 2024

AUTOACT: Automatic Agent Learning from Scratch via Self-Planning.

Shuofei Qiao, Ningyu Zhang, Runnan Fang, Yujie Luo, Wangchunshu Zhou, Yuchen Eleanor Jiang, Chengfei Lv, Huajun Chen

CoRR, 2024

Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data?

Xiangru Tang, Yiming Zong, Jason Phang, Yilun Zhao, Wangchunshu Zhou, Arman Cohan, Mark Gerstein

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models.

Fuzhao Xue, Zian Zheng, Yao Fu, Jinjie Ni, Zangwei Zheng, Wangchunshu Zhou, Yang You

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness.

Noah Wang, Feiyu Duan, Yibo Zhang, Wangchunshu Zhou, Ke Xu, Wenhao Huang, Jie Fu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

How Many Are in This Image A Safety Evaluation Benchmark for Vision LLMs.

Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie

Proceedings of the Computer Vision - ECCV 2024, 2024

SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models.

Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Haichao Zhu, Jiafeng Liang, Liping Shan, Ming Liu, Dongliang Xu, Qing Yang, Bing Qin

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild.

Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models.

Noah Wang, Zhongyuan Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Jian Yang, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhao Huang, Jie Fu, Junran Peng

Proceedings of the Findings of the Association for Computational Linguistics, 2024

AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning.

Shuofei Qiao, Ningyu Zhang, Runnan Fang, Yujie Luo, Wangchunshu Zhou, Yuchen Eleanor Jiang, Chengfei Lv, Huajun Chen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models.

Yizhi Li, Ge Zhang, Xingwei Qu, Jiali Li, Zhaoqun Li, Noah Wang, Hao Li, Ruibin Yuan, Yinghao Ma, Kai Zhang, Wangchunshu Zhou, Yiming Liang, Lei Zhang, Lei Ma, Jiajun Zhang, Zuowen Li, Wenhao Huang, Chenghua Lin, Jie Fu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Scaling-up medical vision-and-language representation learning with federated learning.

Siyu Lu, Zheng Liu, Tianlin Liu, Wangchunshu Zhou

Eng. Appl. Artif. Intell., November, 2023

How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs.

Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie

CoRR, 2023

ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks.

Yuliang Liu, Xiangru Tang, Zefan Cai, Junjie Lu, Yichi Zhang, Yanjun Shao, Zexuan Deng, Helan Hu, Zengxian Yang, Kaikai An, Ruijun Huang, Shuzheng Si, Sheng Chen, Haozhe Zhao, Zhengliang Li, Liang Chen, Yiming Zong, Yan Wang, Tianyu Liu, Zhiwei Jiang, Baobao Chang, Yujia Qin, Wangchunshu Zhou, Yilun Zhao, Arman Cohan, Mark Gerstein

CoRR, 2023

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models.

Zekun Moore Wang, Zhongyuan Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhu Chen, Jie Fu, Junran Peng

CoRR, 2023

Mixup Your Own Pairs.

Yilei Wu, Zijian Dong, Chongyao Chen, Wangchunshu Zhou, Juan Helen Zhou

CoRR, 2023

Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?

Xiangru Tang, Yiming Zong, Jason Phang, Yilun Zhao, Wangchunshu Zhou, Arman Cohan, Mark Gerstein

CoRR, 2023

Agents: An Open-source Framework for Autonomous Language Agents.

Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shi Qiu, Jintian Zhang, Jing Chen, Ruipu Wu, Shuai Wang, Shiding Zhu, Jiyu Chen, Wentao Zhang, Ningyu Zhang, Huajun Chen, Peng Cui, Mrinmaya Sachan

CoRR, 2023

SmartTrim: Adaptive Tokens and Parameters Pruning for Efficient Vision-Language Models.

Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Ming Liu, Bing Qin

CoRR, 2023

RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text.

Wangchunshu Zhou, Yuchen Eleanor Jiang, Peng Cui, Tiannan Wang, Zhenxin Xiao, Yifan Hou, Ryan Cotterell, Mrinmaya Sachan

CoRR, 2023

Interactive Natural Language Processing.

Zekun Wang, Ge Zhang, Kexin Yang, Ning Shi, Wangchunshu Zhou, Shaochun Hao, Guangzheng Xiong, Yizhi Li, Mong Yuan Sim, Xiuying Chen, Qingqing Zhu, Zhenzhu Yang, Adam Nik, Qi Liu, Chenghua Lin, Shi Wang, Ruibo Liu, Wenhu Chen, Ke Xu, Dayiheng Liu, Yike Guo, Jie Fu

CoRR, 2023

Efficient Prompting via Dynamic In-Context Learning.

Wangchunshu Zhou, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan

CoRR, 2023

Findings of the WMT 2023 Shared Task on Machine Translation with Terminologies.

Kirill Semenov, Vilém Zouhar, Tom Kocmi, Dongdong Zhang, Wangchunshu Zhou, Yuchen Eleanor Jiang

Proceedings of the Eighth Conference on Machine Translation, 2023

To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis.

Fuzhao Xue, Yao Fu, Wangchunshu Zhou, Zangwei Zheng, Yang You

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Controlled Text Generation with Natural Language Instructions.

Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan

Proceedings of the International Conference on Machine Learning, 2023

Write and Paint: Generative Vision-Language Models are Unified Modal Learners.

Shizhe Diao, Wangchunshu Zhou, Xinsong Zhang, Jiawei Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models.

Ruida Wang, Wangchunshu Zhou, Mrinmaya Sachan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Evaluating Large Language Models on Controlled Generation Tasks.

Jiao Sun, Yufei Tian, Wangchunshu Zhou, Nan Xu, Qian Hu, Rahul Gupta, John Frederick Wieting, Nanyun Peng, Xuezhe Ma

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models.

Yifan Hou, Jiaoda Li, Yu Fei, Alessandro Stolfo, Wangchunshu Zhou, Guangtao Zeng, Antoine Bosselut, Mrinmaya Sachan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Doolittle: Benchmarks and Corpora for Academic Writing Formalization.

Shizhe Diao, Yongyu Lei, Liangming Pan, Tianqing Fang, Wangchunshu Zhou, Sedrick Scott Keh, Min-Yen Kan, Tong Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference.

Vilém Zouhar, Shehzaad Dhuliawala, Wangchunshu Zhou, Nico Daheim, Tom Kocmi, Yuchen Eleanor Jiang, Mrinmaya Sachan

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Automatic Educational Question Generation with Difficulty Level Controls.

Ying Jiao, Kumar Shridhar, Peng Cui, Wangchunshu Zhou, Mrinmaya Sachan

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

Learning to Predict Persona Information for Dialogue Personalization without Explicit Persona Description.

Wangchunshu Zhou, Qifei Li, Chenle Li

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference.

Wangchunshu Zhou, Ronan Le Bras, Yejin Choi

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Commonsense Knowledge Transfer for Pre-trained Language Models.

Wangchunshu Zhou, Ronan Le Bras, Yejin Choi

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning.

Tiannan Wang, Wangchunshu Zhou, Yan Zeng, Xinsong Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training.

Yan Zeng, Wangchunshu Zhou, Ao Luo, Ziming Cheng, Xinsong Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

X²-VLM: All-In-One Pre-trained Model For Vision-Language Tasks.

Yan Zeng, Xinsong Zhang, Hang Li, Jiawei Wang, Jipeng Zhang, Wangchunshu Zhou

CoRR, 2022

Prefix Language Models are Unified Modal Learners.

Shizhe Diao, Wangchunshu Zhou, Xinsong Zhang, Jiawei Wang

CoRR, 2022

Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training.

Yan Zeng, Wangchunshu Zhou, Ao Luo, Xinsong Zhang

CoRR, 2022

VLUE: A Multi-Task Benchmark for Evaluating Vision-Language Models.

Wangchunshu Zhou, Yan Zeng, Shizhe Diao, Xinsong Zhang

CoRR, 2022

VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training.

Wangchunshu Zhou, Yan Zeng, Shizhe Diao, Xinsong Zhang

Proceedings of the International Conference on Machine Learning, 2022

Efficiently Tuned Parameters Are Task Embeddings.

Wangchunshu Zhou, Canwen Xu, Julian J. McAuley

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

BERT Learns to Teach: Knowledge Distillation with Meta Learning.

Wangchunshu Zhou, Canwen Xu, Julian J. McAuley

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Contextual Representation Learning beyond Masked Language Modeling.

Zhiyi Fu, Wangchunshu Zhou, Jingjing Xu, Hao Zhou, Lei Li

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Learning to Predict Persona Information forDialogue Personalization without Explicit Persona Description.

Wangchunshu Zhou, Qifei Li, Chenle Li

CoRR, 2021

A Survey on Green Deep Learning.

Jingjing Xu, Wangchunshu Zhou, Zhiyi Fu, Hao Zhou, Lei Li

CoRR, 2021

Meta Learning for Knowledge Distillation.

Wangchunshu Zhou, Canwen Xu, Julian J. McAuley

CoRR, 2021

Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting.

Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei

CoRR, 2021

Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge.

Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Pre-training Text-to-Text Transformers for Concept-centric Common Sense.

Wangchunshu Zhou, Dong-Ho Lee, Ravi Kiran Selvam, Seyeon Lee, Xiang Ren

Proceedings of the 9th International Conference on Learning Representations, 2021

Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting.

Wangchunshu Zhou, Tao Ge, Canwen Xu, Ke Xu, Furu Wei

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression.

Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training.

Wangchunshu Zhou, Qifei Li, Chenle Li

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Pre-training Text-to-Text Transformers for Concept-centric Common Sense.

Wangchunshu Zhou, Dong-Ho Lee, Ravi Kiran Selvam, Seyeon Lee, Bill Yuchen Lin, Xiang Ren

CoRR, 2020

BERT Loses Patience: Fast and Robust Inference with Early Exit.

Wangchunshu Zhou, Canwen Xu, Tao Ge, Julian J. McAuley, Ke Xu, Furu Wei

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards Interpretable Natural Language Understanding with Explanations as Latent Variables.

Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-Adversarial Learning with Comparative Discrimination for Text Generation.

Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou

Proceedings of the 8th International Conference on Learning Representations, 2020

Scheduled DropHead: A Regularization Method for Transformer Models.

Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou, Ke Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Improving Grammatical Error Correction with Machine Translation Pairs.

Wangchunshu Zhou, Tao Ge, Chang Mu, Ke Xu, Furu Wei, Ming Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Pseudo-Bidirectional Decoding for Local Sequence Transduction.

Wangchunshu Zhou, Tao Ge, Ke Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

BERT-of-Theseus: Compressing BERT by Progressive Module Replacing.

Canwen Xu, Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Connecting the Dots Between Fact Verification and Fake News Detection.

Qifei Li, Wangchunshu Zhou

Proceedings of the 28th International Conference on Computational Linguistics, 2020

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning.

Bill Yuchen Lin, Ming Shen, Wangchunshu Zhou, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models.

Wangchunshu Zhou, Ke Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

BERT-based Lexical Substitution.

Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019