Guoyin Wang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 75

Top Topics

Text Generation

Top Venues

Publications

Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. ACL (Findings) (2024)
Rui Li, Jiwei Li, Jiawei Han, Guoyin Wang
Similarity-based Neighbor Selection for Graph LLMs. CoRR (2024)
Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang
An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing. ACL (1) (2024)
Rui Li, Guoyin Wang, Jiwei Li
Are Human-generated Demonstrations Necessary for In-context Learning? ICLR (2024)
Ziyu Zhao, Leilei Gan, Guoyin Wang, Yuwei Hu, Tao Shen, Hongxia Yang, Kun Kuang, Fei Wu
Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning. CoRR (2024)
Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Tong Yu, Guoyin Wang, Yiran Chen
Towards Building The Federatedgpt: Federated Instruction Tuning. ICASSP (2024)
Shengyu Zhang, Linfeng Dong, Xiaoya Li, Sen Zhang, Xiaofei Sun, Shuhe Wang, Jiwei Li, Runyi Hu, Tianwei Zhang, Fei Wu, Guoyin Wang
Instruction Tuning for Large Language Models: A Survey. CoRR (2023)
Minsik Oh, Jiwei Li, Guoyin Wang
TaDSE: Template-aware Dialogue Sentence Embeddings. CoRR (2023)
Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Guoyin Wang, Yiran Chen
Towards Building the Federated GPT: Federated Instruction Tuning. CoRR (2023)
Xiaofei Sun, Xiaoya Li, Jiwei Li, Fei Wu, Shangwei Guo, Tianwei Zhang, Guoyin Wang
Text Classification via Large Language Models. CoRR (2023)
Xiaofei Sun, Linfeng Dong, Xiaoya Li, Zhen Wan, Shuhe Wang, Tianwei Zhang, Jiwei Li, Fei Cheng, Lingjuan Lyu, Fei Wu, Guoyin Wang
Pushing the Limits of ChatGPT on NLP Tasks. CoRR (2023)
Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen, Kai Zhong, Qingjun Cui, Yi Xu, Belinda Zeng, Trishul Chilimbi, Yiran Chen
ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models. ACL (2) (2023)
Shuhe Wang, Xiaofei Sun, Xiaoya Li, Rongbin Ouyang, Fei Wu, Tianwei Zhang, Jiwei Li, Guoyin Wang
GPT-NER: Named Entity Recognition via Large Language Models. CoRR (2023)
Xiaofei Sun, Xiaoya Li, Jiwei Li, Fei Wu, Shangwei Guo, Tianwei Zhang, Guoyin Wang
Text Classification via Large Language Models. EMNLP (Findings) (2023)
Shuhe Wang, Yuxian Meng, Rongbin Ouyang, Jiwei Li, Tianwei Zhang, Lingjuan Lyu, Guoyin Wang
GNN-SL: Sequence Labeling Based on Nearest Examples via GNN. ACL (Findings) (2023)
Minsik Oh, Joosung Lee, Jiwei Li, Guoyin Wang
PK-ICR: Persona-Knowledge Interactive Context Retrieval for Grounded Dialogue. CoRR (2023)
Rui Li, Guoyin Wang, Jiwei Li
Are Human-generated Demonstrations Necessary for In-context Learning? CoRR (2023)
Yeon Seonwoo, Guoyin Wang, Changmin Seo, Sajal Choudhary, Jiwei Li, Xiang Li, Puyang Xu, Sunghyun Park, Alice Oh
Ranking-Enhanced Unsupervised Sentence Representation Learning. CoRR (2022)
Nan Wang, Jiwei Li, Yuxian Meng, Xiaofei Sun, Han Qiu, Ziyao Wang, Guoyin Wang, Jun He
An MRC Framework for Semantic Role Labeling. COLING (2022)
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin
Number Entity Recognition. CoRR (2022)
Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin
Open World Classification with Adaptive Negative Samples. EMNLP (2022)
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin
Improving Downstream Task Performance by Treating Numbers as Entities. CIKM (2022)
Shuhe Wang, Yuxian Meng, Rongbin Ouyang, Jiwei Li, Tianwei Zhang, Lingjuan Lyu, Guoyin Wang
GNN-SL: Sequence Labeling Based on Nearest Examples via GNN. CoRR (2022)
Shuhe Wang, Xiaoya Li, Yuxian Meng, Tianwei Zhang, Rongbin Ouyang, Jiwei Li, Guoyin Wang
kNN-NER: Named Entity Recognition with Nearest Neighbor Search. CoRR (2022)
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin
Syntactic Knowledge-Infused Transformer and BERT Models. CIKM Workshops (2021)
Tongshu Zheng, Michael Bergin, Guoyin Wang, David E. Carlson
Local PM2.5 Hotspot Detector at 300 m Resolution: A Random Forest-Convolutional Neural Network Joint Model Jointly Trained on Satellite Images and Meteorology. Remote. Sens. 13 (7) (2021)
Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin
Zero-Shot Recognition via Optimal Transport. WACV (2021)
Xiaofei Sun, Diyi Yang, Xiaoya Li, Tianwei Zhang, Yuxian Meng, Han Qiu, Guoyin Wang, Eduard H. Hovy, Jiwei Li
Interpreting Deep Learning Models in Natural Language Processing: A Review. CoRR (2021)
Xinnuo Xu, Guoyin Wang, Young-Bum Kim, Sungjin Lee
AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation. ACL/IJCNLP (1) (2021)
Joo-Kyung Kim, Guoyin Wang, Sungjin Lee, Young-Bum Kim
Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding. ASRU (2021)
Xinnuo Xu, Guoyin Wang, Young-Bum Kim, Sungjin Lee
AUGNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation. CoRR (2021)
Shuhe Wang, Jiwei Li, Yuxian Meng, Rongbin Ouyang, Guoyin Wang, Xiaoya Li, Tianwei Zhang, Shi Zong
Faster Nearest Neighbor Machine Translation. CoRR (2021)
Jianqiao Li, Chunyuan Li, Guoyin Wang, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin
Improving Text Generation with Student-Forcing Optimal Transport. EMNLP (1) (2020)
Guoyin Wang, Chunyuan Li, Jianqiao Li, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin
Improving Text Generation with Student-Forcing Optimal Transport. CoRR (2020)
Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Lawrence Carin
Students Need More Attention: BERT-based Attention Model for Small Data with Application to Automatic Patient Message Triage. MLHC (2020)
Rui Wang, Shijing Si, Guoyin Wang, Lei Zhang, Lawrence Carin, Ricardo Henao
Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning. EMNLP (Findings) (2020)
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin
Improving Adversarial Text Generation by Modeling the Distant Future. CoRR (2020)
Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Ricardo Henao, Lawrence Carin
Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage. CoRR (2020)
Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. AAAI (2020)
Yizhe Zhang, Guoyin Wang, Chunyuan Li, Zhe Gan, Chris Brockett, Bill Dolan
POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training. EMNLP (1) (2020)
Yizhe Zhang, Guoyin Wang, Chunyuan Li, Zhe Gan, Chris Brockett, Bill Dolan
POINTER: Constrained Text Generation via Insertion-based Generative Pre-training. CoRR (2020)
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin
Improving Adversarial Text Generation by Modeling the Distant Future. ACL (2020)
Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. AAAI (2020)
Dhanasekar Sundararaman, Shijing Si, Vivek Subramanian, Guoyin Wang, Devamanyu Hazarika, Lawrence Carin
Methods for Numeracy-Preserving Word Embeddings. EMNLP (1) (2020)
Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin
Advancing weakly supervised cross-domain alignment with optimal transport. BMVC (2020)
Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin
Weakly supervised cross-domain alignment with optimal transport. CoRR (2020)
Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin
Adversarial Learning of a Sampler Based on an Unnormalized Distribution. AISTATS (2019)
Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
Improving Textual Network Learning with Variational Homophilic Embeddings. NeurIPS (2019)
Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. CoRR (2019)
Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin
Improving Textual Network Embedding with Global Attention via Optimal Transport. CoRR (2019)
Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin
An End-to-End Generative Architecture for Paraphrase Generation. EMNLP/IJCNLP (1) (2019)
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin
Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding. CoRR (2019)
Rui Wang, Guoyin Wang, Ricardo Henao
Discriminative Clustering for Robust Unsupervised Domain Adaptation. CoRR (2019)
Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin
Improving Textual Network Embedding with Global Attention via Optimal Transport. ACL (1) (2019)
Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin
Topic-Guided Variational Auto-Encoder for Text Generation. NAACL-HLT (1) (2019)
Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin
Adversarial Learning of a Sampler Based on an Unnormalized Distribution. CoRR (2019)
Kevin J. Liang, Guoyin Wang, Yitong Li, Ricardo Henao, Lawrence Carin
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods. CoRR (2019)
Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin
An Optimal Transport Framework for Zero-Shot Learning. CoRR (2019)
Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
Improving Textual Network Learning with Variational Homophilic Embeddings. CoRR (2019)
Guoyin Wang, Yan Song, Yue Zhang, Dong Yu
Learning Word Embeddings with Domain Awareness. CoRR (2019)
Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin
Topic-Guided Variational Autoencoders for Text Generation. CoRR (2019)
Kevin J. Liang, Guoyin Wang, Yitong Li, Ricardo Henao, Lawrence Carin
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods. NeurIPS (2019)
Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. ICML (2018)
Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. CoRR (2018)
Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, Lawrence Carin
Adversarial Text Generation via Feature-Mover's Distance. NeurIPS (2018)
Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. CoRR (2018)
Kevin J. Liang, Chunyuan Li, Guoyin Wang, Lawrence Carin
Generative Adversarial Network Training is a Continual Learning Problem. CoRR (2018)
Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. ACL (1) (2018)
Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Ricardo Henao, Lawrence Carin
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. ACL (1) (2018)
Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. CoRR (2018)
Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin
Joint Embedding of Words and Labels for Text Classification. ACL (1) (2018)
Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin
Joint Embedding of Words and Labels for Text Classification. CoRR (2018)
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Liqun Chen, Dinghan Shen, Guoyin Wang, Lawrence Carin
Sequence Generation with Guider Network. CoRR (2018)
Yizhe Zhang, Dinghan Shen, Guoyin Wang, Zhe Gan, Ricardo Henao, Lawrence Carin
Deconvolutional Paragraph Representation Learning. CoRR (2017)
Yizhe Zhang, Dinghan Shen, Guoyin Wang, Zhe Gan, Ricardo Henao, Lawrence Carin
Deconvolutional Paragraph Representation Learning. NIPS (2017)