Guoyin Wang

According to our database, Guoyin Wang authored at least 69 papers between 2017 and 2024.

Collaborative distances:

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

2024

Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning.

Shuhe Wang, Guoyin Wang, Jiwei Li, Eduard H. Hovy, Chen Guo

CoRR, 2024

BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data.

Xuwu Wang, Qiwen Cui, Yunzhe Tao, Yiran Wang, Ziwei Chai, Xiaotian Han, Boyi Liu, Jianbo Yuan, Jing Su, Guoyin Wang, Tingkai Liu, Liyu Chen, Tianyi Liu, Tao Sun, Yufeng Zhang, Sirui Zheng, Quanzeng You, Yang Yang, Hongxia Yang

CoRR, 2024

Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning.

Ziyu Zhao, Leilei Gan, Guoyin Wang, Yuwei Hu, Tao Shen, Hongxia Yang, Kun Kuang, Fei Wu

CoRR, 2024

Empowering Large Language Model Agents through Action Learning.

Haiteng Zhao, Chang Ma, Guoyin Wang, Jing Su, Lingpeng Kong, Jingjing Xu, Zhi-Hong Deng, Hongxia Yang

CoRR, 2024

Similarity-based Neighbor Selection for Graph LLMs.

Rui Li, Jiwei Li, Jiawei Han, Guoyin Wang

CoRR, 2024

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.

Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu

CoRR, 2024

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.

Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Qianli Ma, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Jiwei Li, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu

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

Are Human-generated Demonstrations Necessary for In-context Learning?

Rui Li, Guoyin Wang, Jiwei Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Building The Federatedgpt: Federated Instruction Tuning.

Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Tong Yu, Guoyin Wang, Yiran Chen

Proceedings of the IEEE International Conference on Acoustics, 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

An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing.

Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang

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

2023

Sim-GPT: Text Similarity via GPT Annotated Data.

Shuhe Wang, Beiming Cao, Shengyu Zhang, Xiaoya Li, Jiwei Li, Fei Wu, Guoyin Wang, Eduard H. Hovy

CoRR, 2023

Sentiment Analysis through LLM Negotiations.

Xiaofei Sun, Xiaoya Li, Shengyu Zhang, Shuhe Wang, Fei Wu, Jiwei Li, Tianwei Zhang, Guoyin Wang

CoRR, 2023

Instruction Tuning for Large Language Models: A Survey.

Shengyu Zhang, Linfeng Dong, Xiaoya Li, Sen Zhang, Xiaofei Sun, Shuhe Wang, Jiwei Li, Runyi Hu, Tianwei Zhang, Fei Wu, Guoyin Wang

CoRR, 2023

Pushing the Limits of ChatGPT on NLP Tasks.

Xiaofei Sun, Linfeng Dong, Xiaoya Li, Zhen Wan, Shuhe Wang, Tianwei Zhang, Jiwei Li, Fei Cheng, Lingjuan Lyu, Fei Wu, Guoyin Wang

CoRR, 2023

TaDSE: Template-aware Dialogue Sentence Embeddings.

Minsik Oh, Jiwei Li, Guoyin Wang

CoRR, 2023

Towards Building the Federated GPT: Federated Instruction Tuning.

Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Guoyin Wang, Yiran Chen

CoRR, 2023

GPT-NER: Named Entity Recognition via Large Language Models.

Shuhe Wang, Xiaofei Sun, Xiaoya Li, Rongbin Ouyang, Fei Wu, Tianwei Zhang, Jiwei Li, Guoyin Wang

CoRR, 2023

PK-ICR: Persona-Knowledge Interactive Context Retrieval for Grounded Dialogue.

Minsik Oh, Joosung Lee, Jiwei Li, Guoyin Wang

CoRR, 2023

Text Classification via Large Language Models.

Xiaofei Sun, Xiaoya Li, Jiwei Li, Fei Wu, Shangwei Guo, Tianwei Zhang, Guoyin Wang

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

OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding.

Zhan Shi, Guoyin Wang, Ke Bai, Jiwei Li, Xiang Li, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, Xiaodan Zhu

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

ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models.

Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen, Kai Zhong, Qingjun Cui, Yi Xu, Belinda Zeng, Trishul Chilimbi, Yiran Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

GNN-SL: Sequence Labeling Based on Nearest Examples via GNN.

Shuhe Wang, Yuxian Meng, Rongbin Ouyang, Jiwei Li, Tianwei Zhang, Lingjuan Lyu, Guoyin Wang

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

Ranking-Enhanced Unsupervised Sentence Representation Learning.

Yeon Seonwoo, Guoyin Wang, Changmin Seo, Sajal Choudhary, Jiwei Li, Xiang Li, Puyang Xu, Sunghyun Park, Alice Oh

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

2022

Learning Personalized Representations using Graph Convolutional Network.

Hongyu Shen, Jinoh Oh, Shuai Zhao, Guoyin Wang, Tara Taghavi, Sungjin Lee

CoRR, 2022

Number Entity Recognition.

Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin

CoRR, 2022

kNN-NER: Named Entity Recognition with Nearest Neighbor Search.

Shuhe Wang, Xiaoya Li, Yuxian Meng, Tianwei Zhang, Rongbin Ouyang, Jiwei Li, Guoyin Wang

CoRR, 2022

Open World Classification with Adaptive Negative Samples.

Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin

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

An MRC Framework for Semantic Role Labeling.

Nan Wang, Jiwei Li, Yuxian Meng, Xiaofei Sun, Han Qiu, Ziyao Wang, Guoyin Wang, Jun He

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Improving Downstream Task Performance by Treating Numbers as Entities.

Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Local PM2.5 Hotspot Detector at 300 m Resolution: A Random Forest-Convolutional Neural Network Joint Model Jointly Trained on Satellite Images and Meteorology.

Tongshu Zheng, Michael Bergin, Guoyin Wang, David E. Carlson

Remote. Sens., 2021

Faster Nearest Neighbor Machine Translation.

Shuhe Wang, Jiwei Li, Yuxian Meng, Rongbin Ouyang, Guoyin Wang, Xiaoya Li, Tianwei Zhang, Shi Zong

CoRR, 2021

Interpreting Deep Learning Models in Natural Language Processing: A Review.

Xiaofei Sun, Diyi Yang, Xiaoya Li, Tianwei Zhang, Yuxian Meng, Han Qiu, Guoyin Wang, Eduard H. Hovy, Jiwei Li

CoRR, 2021

Zero-Shot Recognition via Optimal Transport.

Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Syntactic Knowledge-Infused Transformer and BERT Models.

Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin

Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021

Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding.

Joo-Kyung Kim, Guoyin Wang, Sungjin Lee, Young-Bum Kim

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation.

Xinnuo Xu, Guoyin Wang, Young-Bum Kim, Sungjin Lee

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

2020

Applications of Deep Representation Learning to Natural Language Processing and Satellite Imagery.

Guoyin Wang

PhD thesis, 2020

Weakly supervised cross-domain alignment with optimal transport.

Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin

CoRR, 2020

Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage.

Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Ricardo Henao, Lawrence Carin

CoRR, 2020

POINTER: Constrained Text Generation via Insertion-based Generative Pre-training.

Yizhe Zhang, Guoyin Wang, Chunyuan Li, Zhe Gan, Chris Brockett, Bill Dolan

CoRR, 2020

Students Need More Attention: BERT-based Attention Model for Small Data with Application to Automatic Patient Message Triage.

Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Lawrence Carin

Proceedings of the Machine Learning for Healthcare Conference, 2020

POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training.

Yizhe Zhang, Guoyin Wang, Chunyuan Li, Zhe Gan, Chris Brockett, Bill Dolan

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

Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning.

Rui Wang, Shijing Si, Guoyin Wang, Lei Zhang, Lawrence Carin, Ricardo Henao

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

Methods for Numeracy-Preserving Word Embeddings.

Dhanasekar Sundararaman, Shijing Si, Vivek Subramanian, Guoyin Wang, Devamanyu Hazarika, Lawrence Carin

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

Improving Text Generation with Student-Forcing Optimal Transport.

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

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

Advancing weakly supervised cross-domain alignment with optimal transport.

Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Improving Adversarial Text Generation by Modeling the Distant Future.

Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Graph-Driven Generative Models for Heterogeneous Multi-Task Learning.

Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin

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

Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning.

Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin

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

2019

Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding.

Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin

CoRR, 2019

An Optimal Transport Framework for Zero-Shot Learning.

Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin

CoRR, 2019

Learning Word Embeddings with Domain Awareness.

Guoyin Wang, Yan Song, Yue Zhang, Dong Yu

CoRR, 2019

Discriminative Clustering for Robust Unsupervised Domain Adaptation.

Rui Wang, Guoyin Wang, Ricardo Henao

CoRR, 2019

Topic-Guided Variational Autoencoders for Text Generation.

Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin

CoRR, 2019

Improving Textual Network Learning with Variational Homophilic Embeddings.

Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods.

Kevin J. Liang, Guoyin Wang, Yitong Li, Ricardo Henao, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Topic-Guided Variational Auto-Encoder for Text Generation.

Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

An End-to-End Generative Architecture for Paraphrase Generation.

Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Adversarial Learning of a Sampler Based on an Unnormalized Distribution.

Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Improving Textual Network Embedding with Global Attention via Optimal Transport.

Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin

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

2018

Generative Adversarial Network Training is a Continual Learning Problem.

Kevin J. Liang, Chunyuan Li, Guoyin Wang, Lawrence Carin

CoRR, 2018

Sequence Generation with Guider Network.

Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Liqun Chen, Dinghan Shen, Guoyin Wang, Lawrence Carin

CoRR, 2018

Adversarial Text Generation via Feature-Mover's Distance.

Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets.

Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin

Proceedings of the 35th International Conference on Machine Learning, 2018

Joint Embedding of Words and Labels for Text Classification.

Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms.

Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing.

Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Ricardo Henao, Lawrence Carin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Deconvolutional Paragraph Representation Learning.

Yizhe Zhang, Dinghan Shen, Guoyin Wang, Zhe Gan, Ricardo Henao, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017