Shuohang Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
53
Venues
9
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
53 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation. | Yiping Wang, Xuehai He, Kuan Wang, Luyao Ma, Jianwei Yang, Shuohang Wang, Simon Shaolei Du, Yelong Shen |
| 2024 | ACL | Small Models are Valuable Plug-ins for Large Language Models. | Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley |
| 2024 | EACL | PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents. | Simeng Sun, Yang Liu, Shuohang Wang, Dan Iter, Chenguang Zhu, Mohit Iyyer |
| 2024 | EMNLP | SciAgent: Tool-augmented Language Models for Scientific Reasoning. | Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun |
| 2024 | EMNLP | Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation. | Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen |
| 2023 | ACL | APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. | Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren |
| 2023 | EMNLP | In-Context Demonstration Selection with Cross Entropy Difference. | Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu |
| 2023 | EMNLP | G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment. | Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu |
| 2023 | EMNLP | The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. | Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han |
| 2023 | EMNLP | LMGQS: A Large-scale Dataset for Query-focused Summarization. | Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Pengcheng He, Chenguang Zhu, Michael Zeng |
| 2023 | EMNLP | InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT. | Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng |
| 2023 | EMNLP | Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. | Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang |
| 2023 | ICLR | Generate rather than Retrieve: Large Language Models are Strong Context Generators. | Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang |
| 2023 | ICLR | Prompting GPT-3 To Be Reliable. | Chenglei Si, Zhe Gan, Zhengyuan Yang, Shuohang Wang, Jianfeng Wang, Jordan L. Boyd-Graber, Lijuan Wang |
| 2022 | AAAI | Playing Lottery Tickets with Vision and Language. | Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu |
| 2022 | ACL | Dict-BERT: Enhancing Language Model Pre-training with Dictionary. | Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang |
| 2022 | ACL | Leveraging Knowledge in Multilingual Commonsense Reasoning. | Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng |
| 2022 | ACL | Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data. | Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng |
| 2022 | ACL | KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. | Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng |
| 2022 | CVPR | An Empirical Study of Training End-to-End Vision-and-Language Transformers. | Zi-Yi Dou, Yichong Xu, Zhe Gan, Jianfeng Wang, Shuohang Wang, Lijuan Wang, Chenguang Zhu, Pengchuan Zhang, Lu Yuan, Nanyun Peng, Zicheng Liu, Michael Zeng |
| 2022 | CVPR | CLIP-Event: Connecting Text and Images with Event Structures. | Manling Li, Ruochen Xu, Shuohang Wang, Luowei Zhou, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, Shih-Fu Chang |
| 2022 | EMNLP | AdaPrompt: Adaptive Model Training for Prompt-based NLP. | Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang |
| 2022 | EMNLP | Task Compass: Scaling Multi-task Pre-training with Task Prefix. | Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng |
| 2022 | EMNLP | Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. | Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang |
| 2022 | EMNLP | Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. | Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun |
| 2022 | EMNLP | ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation. | Shuohang Wang, Ruochen Xu, Yang Liu, Chenguang Zhu, Michael Zeng |
| 2022 | IJCAI | Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. | Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang |
| 2021 | AAAI | FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding. | Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu |
| 2021 | ACL | EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. | Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu |
| 2021 | ACL | Cluster-Former: Clustering-based Sparse Transformer for Question Answering. | Shuohang Wang, Luowei Zhou, Zhe Gan, Yen-Chun Chen, Yuwei Fang, Siqi Sun, Yu Cheng, Jingjing Liu |
| 2021 | ACL | On Orthogonality Constraints for Transformers. | Aston Zhang, Alvin Chan, Yi Tay, Jie Fu, Shuohang Wang, Shuai Zhang, Huajie Shao, Shuochao Yao, Roy Ka-Wei Lee |
| 2021 | CVPR | UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training. | Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, Jingjing Liu |
| 2021 | EMNLP | Want To Reduce Labeling Cost? GPT-3 Can Help. | Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng |
| 2021 | EMNLP | NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset. | Qiyuan Zhang, Lei Wang, Sicheng Yu, Shuohang Wang, Yang Wang, Jing Jiang, Ee-Peng Lim |
| 2021 | ICLR | InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective. | Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu |
| 2021 | NAACL | LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval. | Siqi Sun, Yen-Chun Chen, Linjie Li, Shuohang Wang, Yuwei Fang, Jingjing Liu |
| 2020 | AAAI | Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching. | Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu |
| 2020 | EMNLP | Multi-Fact Correction in Abstractive Text Summarization. | Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu |
| 2020 | EMNLP | Hierarchical Graph Network for Multi-hop Question Answering. | Yuwei Fang, Siqi Sun, Zhe Gan, Rohit Pillai, Shuohang Wang, Jingjing Liu |
| 2020 | EMNLP | Contrastive Distillation on Intermediate Representations for Language Model Compression. | Siqi Sun, Zhe Gan, Yuwei Fang, Yu Cheng, Shuohang Wang, Jingjing Liu |
| 2020 | EMNLP | Cross-Thought for Sentence Encoder Pre-training. | Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jingjing Liu, Jing Jiang |
| 2020 | EMNLP | T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack. | Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li |
| 2019 | ACL | Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives. | Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang |
| 2019 | ACL | Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. | Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui |
| 2019 | ICDM | Multi-hop Knowledge Base Question Answering with an Iterative Sequence Matching Model. | Yunshi Lan, Shuohang Wang, Jing Jiang |
| 2019 | IJCAI | Knowledge Base Question Answering with Topic Units. | Yunshi Lan, Shuohang Wang, Jing Jiang |
| 2019 | NAACL | Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. | Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang |
| 2018 | AAAI | R | Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang |
| 2018 | ACL | A Co-Matching Model for Multi-choice Reading Comprehension. | Shuohang Wang, Mo Yu, Jing Jiang, Shiyu Chang |
| 2018 | ICLR | Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. | Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell |
| 2017 | ICLR | A Compare-Aggregate Model for Matching Text Sequences. | Shuohang Wang, Jing Jiang |
| 2017 | ICLR | Machine Comprehension Using Match-LSTM and Answer Pointer. | Shuohang Wang, Jing Jiang |
| 2016 | NAACL | Learning Natural Language Inference with LSTM. | Shuohang Wang, Jing Jiang |