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2020 – today
- 2024
- [b1]Meng Jiang, Bill Yuchen Lin, Shuohang Wang, Yichong Xu, Wenhao Yu, Chenguang Zhu:
Knowledge-augmented Methods for Natural Language Processing. Springer Briefs in Computer Science, Springer 2024, ISBN 978-981-97-0749-2, pp. 1-95 - [c57]Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley:
Small Models are Valuable Plug-ins for Large Language Models. ACL (Findings) 2024: 283-294 - [c56]Simeng Sun, Yang Liu, Shuohang Wang, Dan Iter, Chenguang Zhu, Mohit Iyyer:
PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents. EACL (1) 2024: 469-486 - [c55]Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen:
Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation. EMNLP (Findings) 2024: 13125-13137 - [c54]Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun:
SciAgent: Tool-augmented Language Models for Scientific Reasoning. EMNLP 2024: 15701-15736 - [i60]Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun, Hany Hassan Awadalla, Weizhu Chen:
SciAgent: Tool-augmented Language Models for Scientific Reasoning. CoRR abs/2402.11451 (2024) - [i59]Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen:
Multi-LoRA Composition for Image Generation. CoRR abs/2402.16843 (2024) - [i58]Shenao Zhang, Donghan Yu, Hiteshi Sharma, Ziyi Yang, Shuohang Wang, Hany Hassan, Zhaoran Wang:
Self-Exploring Language Models: Active Preference Elicitation for Online Alignment. CoRR abs/2405.19332 (2024) - [i57]Yifang Chen, Shuohang Wang, Ziyi Yang, Hiteshi Sharma, Nikos Karampatziakis, Donghan Yu, Kevin G. Jamieson, Simon Shaolei Du, Yelong Shen:
Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning. CoRR abs/2407.02119 (2024) - [i56]Liyuan Liu, Young Jin Kim, Shuohang Wang, Chen Liang, Yelong Shen, Hao Cheng, Xiaodong Liu, Masahiro Tanaka, Xiaoxia Wu, Wenxiang Hu, Vishrav Chaudhary, Zeqi Lin, Chengruidong Zhang, Jilong Xue, Hany Awadalla, Jianfeng Gao, Weizhu Chen:
GRIN: GRadient-INformed MoE. CoRR abs/2409.12136 (2024) - [i55]Rongzhi Zhang, Kuang Wang, Liyuan Liu, Shuohang Wang, Hao Cheng, Chao Zhang, Yelong Shen:
LoRC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy. CoRR abs/2410.03111 (2024) - [i54]Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen:
Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation. CoRR abs/2410.10141 (2024) - 2023
- [c53]Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren:
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. ACL (1) 2023: 6308-6321 - [c52]Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu:
In-Context Demonstration Selection with Cross Entropy Difference. EMNLP (Findings) 2023: 1150-1162 - [c51]Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han:
The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. EMNLP 2023: 2375-2393 - [c50]Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu:
G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment. EMNLP 2023: 2511-2522 - [c49]Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang:
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. EMNLP (Findings) 2023: 9850-9867 - [c48]Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng:
InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT. EMNLP (Findings) 2023: 13879-13892 - [c47]Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Pengcheng He, Chenguang Zhu, Michael Zeng:
LMGQS: A Large-scale Dataset for Query-focused Summarization. EMNLP (Findings) 2023: 14764-14776 - [c46]Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang:
Generate rather than Retrieve: Large Language Models are Strong Context Generators. ICLR 2023 - [c45]Chenglei Si, Zhe Gan, Zhengyuan Yang, Shuohang Wang, Jianfeng Wang, Jordan L. Boyd-Graber, Lijuan Wang:
Prompting GPT-3 To Be Reliable. ICLR 2023 - [c44]Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, ChengXiang Zhai:
Sparse Modular Activation for Efficient Sequence Modeling. NeurIPS 2023 - [i53]Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu:
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment. CoRR abs/2303.16634 (2023) - [i52]Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley:
Small Models are Valuable Plug-ins for Large Language Models. CoRR abs/2305.08848 (2023) - [i51]Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng:
InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT. CoRR abs/2305.13083 (2023) - [i50]Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Chenguang Zhu, Michael Zeng:
LMGQS: A Large-scale Dataset for Query-focused Summarization. CoRR abs/2305.13086 (2023) - [i49]Simeng Sun, Yang Liu, Shuohang Wang, Chenguang Zhu, Mohit Iyyer:
PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents. CoRR abs/2305.14564 (2023) - [i48]Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu:
In-Context Demonstration Selection with Cross Entropy Difference. CoRR abs/2305.14726 (2023) - [i47]Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, ChengXiang Zhai:
Sparse Modular Activation for Efficient Sequence Modeling. CoRR abs/2306.11197 (2023) - [i46]Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han:
The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. CoRR abs/2310.12418 (2023) - [i45]Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang:
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. CoRR abs/2310.13127 (2023) - 2022
- [c43]Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu:
Playing Lottery Tickets with Vision and Language. AAAI 2022: 652-660 - [c42]Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang:
Dict-BERT: Enhancing Language Model Pre-training with Dictionary. ACL (Findings) 2022: 1907-1918 - [c41]Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng:
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data. ACL (1) 2022: 3170-3179 - [c40]Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng:
Leveraging Knowledge in Multilingual Commonsense Reasoning. ACL (Findings) 2022: 3237-3246 - [c39]Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng:
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. ACL (1) 2022: 4961-4974 - [c38]Manling Li, Ruochen Xu, Shuohang Wang, Luowei Zhou, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, Shih-Fu Chang:
CLIP-Event: Connecting Text and Images with Event Structures. CVPR 2022: 16399-16408 - [c37]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:
An Empirical Study of Training End-to-End Vision-and-Language Transformers. CVPR 2022: 18145-18155 - [c36]Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang:
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP 2022: 4364-4377 - [c35]Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng:
Task Compass: Scaling Multi-task Pre-training with Task Prefix. EMNLP (Findings) 2022: 5671-5685 - [c34]Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang:
AdaPrompt: Adaptive Model Training for Prompt-based NLP. EMNLP (Findings) 2022: 6057-6068 - [c33]Shuohang Wang, Ruochen Xu, Yang Liu, Chenguang Zhu, Michael Zeng:
ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation. EMNLP 2022: 7111-7122 - [c32]Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun:
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. EMNLP 2022: 9562-9581 - [c31]Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang:
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. IJCAI 2022: 2762-2768 - [c30]Zhenhailong Wang, Manling Li, Ruochen Xu, Luowei Zhou, Jie Lei, Xudong Lin, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Derek Hoiem, Shih-Fu Chang, Mohit Bansal, Heng Ji:
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. NeurIPS 2022 - [i44]Manling Li, Ruochen Xu, Shuohang Wang, Luowei Zhou, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, Shih-Fu Chang:
CLIP-Event: Connecting Text and Images with Event Structures. CoRR abs/2201.05078 (2022) - [i43]Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang:
AdaPrompt: Adaptive Model Training for Prompt-based NLP. CoRR abs/2202.04824 (2022) - [i42]Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng:
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data. CoRR abs/2203.08773 (2022) - [i41]Zhenhailong Wang, Manling Li, Ruochen Xu, Luowei Zhou, Jie Lei, Xudong Lin, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Derek Hoiem, Shih-Fu Chang, Mohit Bansal, Heng Ji:
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. CoRR abs/2205.10747 (2022) - [i40]Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang:
Generate rather than Retrieve: Large Language Models are Strong Context Generators. CoRR abs/2209.10063 (2022) - [i39]Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng:
Task Compass: Scaling Multi-task Pre-training with Task Prefix. CoRR abs/2210.06277 (2022) - [i38]Chenglei Si, Zhe Gan, Zhengyuan Yang, Shuohang Wang, Jianfeng Wang, Jordan L. Boyd-Graber, Lijuan Wang:
Prompting GPT-3 To Be Reliable. CoRR abs/2210.09150 (2022) - [i37]Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang:
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. CoRR abs/2210.12887 (2022) - [i36]Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun:
Empowering Language Models with Knowledge Graph Reasoning for Question Answering. CoRR abs/2211.08380 (2022) - [i35]Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren:
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. CoRR abs/2212.09282 (2022) - 2021
- [c29]Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu:
FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding. AAAI 2021: 12776-12784 - [c28]Aston Zhang, Alvin Chan, Yi Tay, Jie Fu, Shuohang Wang, Shuai Zhang, Huajie Shao, Shuochao Yao, Roy Ka-Wei Lee
:
On Orthogonality Constraints for Transformers. ACL/IJCNLP (2) 2021: 375-382 - [c27]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu:
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. ACL/IJCNLP (1) 2021: 2195-2207 - [c26]Shuohang Wang, Luowei Zhou, Zhe Gan, Yen-Chun Chen, Yuwei Fang, Siqi Sun, Yu Cheng, Jingjing Liu:
Cluster-Former: Clustering-based Sparse Transformer for Question Answering. ACL/IJCNLP (Findings) 2021: 3958-3968 - [c25]Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, Jingjing Liu:
UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training. CVPR 2021: 4155-4165 - [c24]Qiyuan Zhang, Lei Wang, Sicheng Yu, Shuohang Wang, Yang Wang, Jing Jiang, Ee-Peng Lim
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset. EMNLP (Findings) 2021: 4147-4161 - [c23]Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng:
Want To Reduce Labeling Cost? GPT-3 Can Help. EMNLP (Findings) 2021: 4195-4205 - [c22]Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu:
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective. ICLR 2021 - [c21]Siqi Sun, Yen-Chun Chen, Linjie Li, Shuohang Wang, Yuwei Fang, Jingjing Liu:
LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval. NAACL-HLT 2021: 982-997 - [c20]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang:
The Elastic Lottery Ticket Hypothesis. NeurIPS 2021: 26609-26621 - [c19]Boxin Wang, Chejian Xu, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li:
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models. NeurIPS Datasets and Benchmarks 2021 - [i34]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu:
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. CoRR abs/2101.00063 (2021) - [i33]Siqi Sun, Yen-Chun Chen, Linjie Li, Shuohang Wang, Yuwei Fang, Jingjing Liu:
LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval. CoRR abs/2103.08784 (2021) - [i32]Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang:
The Elastic Lottery Ticket Hypothesis. CoRR abs/2103.16547 (2021) - [i31]Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, Jingjing Liu:
UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training. CoRR abs/2104.00332 (2021) - [i30]Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu:
Playing Lottery Tickets with Vision and Language. CoRR abs/2104.11832 (2021) - [i29]Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng:
Want To Reduce Labeling Cost? GPT-3 Can Help. CoRR abs/2108.13487 (2021) - [i28]Qiyuan Zhang, Lei Wang, Sicheng Yu, Shuohang Wang, Yang Wang, Jing Jiang, Ee-Peng Lim:
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset. CoRR abs/2109.10604 (2021) - [i27]Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng:
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. CoRR abs/2110.04330 (2021) - [i26]Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang:
Dict-BERT: Enhancing Language Model Pre-training with Dictionary. CoRR abs/2110.06490 (2021) - [i25]Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng:
Leveraging Knowledge in Multilingual Commonsense Reasoning. CoRR abs/2110.08462 (2021) - [i24]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:
An Empirical Study of Training End-to-End Vision-and-Language Transformers. CoRR abs/2111.02387 (2021) - [i23]Boxin Wang, Chejian Xu, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li:
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models. CoRR abs/2111.02840 (2021) - [i22]Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang:
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. CoRR abs/2112.03254 (2021) - [i21]Yixin Nie, Linjie Li, Zhe Gan, Shuohang Wang, Chenguang Zhu, Michael Zeng, Zicheng Liu, Mohit Bansal, Lijuan Wang:
MLP Architectures for Vision-and-Language Modeling: An Empirical Study. CoRR abs/2112.04453 (2021) - 2020
- [c18]Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu:
Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching. AAAI 2020: 9209-9216 - [c17]Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jingjing Liu, Jing Jiang
Cross-Thought for Sentence Encoder Pre-training. EMNLP (1) 2020: 412-421 - [c16]Siqi Sun, Zhe Gan, Yuwei Fang, Yu Cheng, Shuohang Wang, Jingjing Liu:
Contrastive Distillation on Intermediate Representations for Language Model Compression. EMNLP (1) 2020: 498-508 - [c15]Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li:
T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack. EMNLP (1) 2020: 6134-6150 - [c14]Yuwei Fang, Siqi Sun, Zhe Gan, Rohit Pillai, Shuohang Wang, Jingjing Liu:
Hierarchical Graph Network for Multi-hop Question Answering. EMNLP (1) 2020: 8823-8838 - [c13]Yue Dong
Multi-Fact Correction in Abstractive Text Summarization. EMNLP (1) 2020: 9320-9331 - [i20]Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu:
Multi-level Head-wise Match and Aggregation in Transformer for Textual Sequence Matching. CoRR abs/2001.07234 (2020) - [i19]Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu:
FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding. CoRR abs/2009.05166 (2020) - [i18]Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu:
Accelerating Real-Time Question Answering via Question Generation. CoRR abs/2009.05167 (2020) - [i17]Shuohang Wang, Luowei Zhou, Zhe Gan, Yen-Chun Chen, Yuwei Fang, Siqi Sun, Yu Cheng, Jingjing Liu:
Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding. CoRR abs/2009.06097 (2020) - [i16]Siqi Sun, Zhe Gan, Yu Cheng, Yuwei Fang, Shuohang Wang, Jingjing Liu:
Contrastive Distillation on Intermediate Representations for Language Model Compression. CoRR abs/2009.14167 (2020) - [i15]Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu:
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective. CoRR abs/2010.02329 (2020) - [i14]Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu:
Multi-Fact Correction in Abstractive Text Summarization. CoRR abs/2010.02443 (2020) - [i13]Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jing Jiang, Jingjing Liu:
Cross-Thought for Sentence Encoder Pre-training. CoRR abs/2010.03652 (2020) - [i12]Sicheng Yu, Yulei Niu, Shuohang Wang, Jing Jiang, Qianru Sun:
Counterfactual Variable Control for Robust and Interpretable Question Answering. CoRR abs/2010.05581 (2020)
2010 – 2019
- 2019
- [j1]Yunshi Lan
Knowledge Base Question Answering With a Matching-Aggregation Model and Question-Specific Contextual Relations. IEEE ACM Trans. Audio Speech Lang. Process. 27(10): 1629-1638 (2019) - [c12]Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. ACL (1) 2019: 1494-1503 - [c11]Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang:
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives. ACL (1) 2019: 4922-4931 - [c10]Yunshi Lan, Shuohang Wang, Jing Jiang:
Multi-hop Knowledge Base Question Answering with an Iterative Sequence Matching Model. ICDM 2019: 359-368 - [c9]Yunshi Lan, Shuohang Wang, Jing Jiang:
Knowledge Base Question Answering with Topic Units. IJCAI 2019: 5046-5052 - [c8]Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. NAACL-HLT (1) 2019: 882-891 - [c7]Yi Tay, Anh Tuan Luu, Aston Zhang, Shuohang Wang, Siu Cheung Hui:
Compositional De-Attention Networks. NeurIPS 2019: 6132-6142 - [i11]Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang:
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. CoRR abs/1904.01938 (2019) - [i10]Yi Tay, Shuohang Wang, Luu Anh Tuan, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang:
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives. CoRR abs/1905.10847 (2019) - [i9]Yi Tay, Aston Zhang, Luu Anh Tuan, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui:
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. CoRR abs/1906.04393 (2019) - [i8]Chenglei Si, Shuohang Wang, Min-Yen Kan, Jing Jiang:
What does BERT Learn from Multiple-Choice Reading Comprehension Datasets? CoRR abs/1910.12391 (2019) - [i7]Yuwei Fang, Siqi Sun, Zhe Gan, Rohit Pillai, Shuohang Wang, Jingjing Liu:
Hierarchical Graph Network for Multi-hop Question Answering. CoRR abs/1911.03631 (2019) - 2018
- [c6]Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang:
R3: Reinforced Ranker-Reader for Open-Domain Question Answering. AAAI 2018: 5981-5988 - [c5]Shuohang Wang, Mo Yu, Jing Jiang
A Co-Matching Model for Multi-choice Reading Comprehension. ACL (2) 2018: 746-751 - [c4]Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell:
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. ICLR (Poster) 2018 - [i6]Shuohang Wang, Mo Yu, Shiyu Chang, Jing Jiang:
A Co-Matching Model for Multi-choice Reading Comprehension. CoRR abs/1806.04068 (2018) - 2017
- [c3]Shuohang Wang, Jing Jiang:
A Compare-Aggregate Model for Matching Text Sequences. ICLR (Poster) 2017 - [c2]Shuohang Wang, Jing Jiang:
Machine Comprehension Using Match-LSTM and Answer Pointer. ICLR (Poster) 2017 - [i5]Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerald Tesauro, Bowen Zhou, Jing Jiang:
R3: Reinforced Reader-Ranker for Open-Domain Question Answering. CoRR abs/1709.00023 (2017) - [i4]Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell:
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. CoRR abs/1711.05116 (2017) - 2016
- [c1]Shuohang Wang, Jing Jiang:
Learning Natural Language Inference with LSTM. HLT-NAACL 2016: 1442-1451 - [i3]Shuohang Wang, Jing Jiang:
Machine Comprehension Using Match-LSTM and Answer Pointer. CoRR abs/1608.07905 (2016) - [i2]Shuohang Wang, Jing Jiang:
A Compare-Aggregate Model for Matching Text Sequences. CoRR abs/1611.01747 (2016) - 2015
- [i1]Shuohang Wang, Jing Jiang:
Learning Natural Language Inference with LSTM. CoRR abs/1512.08849 (2015)
Coauthor Index
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