Yi Yang

According to our database, Yi Yang authored at least 47 papers between 2013 and 2024.

Collaborative distances:

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

2024

Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines.

John P. Lalor, Ahmed Abbasi, Kezia Oketch, Yi Yang, Nicole Forsgren

ACM Trans. Inf. Syst., July, 2024

Beyond Surface Similarity: Detecting Subtle Semantic Shifts in Financial Narratives.

Jiaxin Liu, Yi Yang, Kar Yan Tam

CoRR, 2024

Do LLMs Know about Hallucination? An Empirical Investigation of LLM's Hidden States.

Hanyu Duan, Yi Yang, Kar Yan Tam

CoRR, 2024

MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries.

Yixuan Tang, Yi Yang

CoRR, 2024

Self-Explainable Next POI Recommendation.

Kai Yang, Yi Yang, Qiang Gao, Ting Zhong, Yong Wang, Fan Zhou

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023

sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics.

Yi Yang, Kunpeng Zhang, Yangyang Fan

Inf. Syst. Res., March, 2023

Deep Cross-Attention Network for Crowdfunding Success Prediction.

Zhe Tang, Yi Yang, Wen Li, Defu Lian, Lixin Duan

IEEE Trans. Multim., 2023

Unlocking the Power of Voice for Financial Risk Prediction: A Theory-Driven Deep Learning Design Approach.

Yi Yang, Yu Qin, Yangyang Fan, Zhongju Zhang

MIS Q., 2023

Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads.

Yi Yang, Hanyu Duan, Ahmed Abbasi, John P. Lalor, Kar Yan Tam

CoRR, 2023

Exploring the Relationship between In-Context Learning and Instruction Tuning.

Hanyu Duan, Yixuan Tang, Yi Yang, Ahmed Abbasi, Kar Yan Tam

CoRR, 2023

FinEntity: Entity-level Sentiment Classification for Financial Texts.

Yixuan Tang, Yi Yang, Allen H. Huang, Andy Tam, Justin Z. Tang

CoRR, 2023

InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning.

Yi Yang, Yixuan Tang, Kar Yan Tam

CoRR, 2023

FinEntity: Entity-level Sentiment Classification for Financial Texts.

Yixuan Tang, Yi Yang, Allen Huang, Andy Tam, Justin Z. Tang

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

Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing.

Yue Guo, Zian Xu, Yi Yang

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

Predict the Future from the Past? On the Temporal Data Distribution Shift in Financial Sentiment Classifications.

Yue Guo, Chenxi Hu, Yi Yang

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

Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning.

Fan Zhou, Yuzhou Mao, Liu Yu, Yi Yang, Ting Zhong

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

Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract).

Yuzhou Mao, Liu Yu, Yi Yang, Fan Zhou, Ting Zhong

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract).

Yi He, Wenxin Tai, Fan Zhou, Yi Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Extracting Actionable Insights from Text Data: A Stable Topic Model Approach.

Yi Yang, Ramanath Subramanyam

MIS Q., 2022

Analyzing Firm Reports for Volatility Prediction: A Knowledge-Driven Text-Embedding Approach.

Yi Yang, Kunpeng Zhang, Yangyang Fan

INFORMS J. Comput., 2022

Benchmarking Intersectional Biases in NLP.

John Lalor, Yi Yang, Kendall Smith, Nicole Forsgren, Ahmed Abbasi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

BARLE: Background-Aware Representation Learning for Background Shift Out-of-Distribution Detection.

Hanyu Duan, Yi Yang, Ahmed Abbasi, Kar Yan Tam

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts.

Yue Guo, Yi Yang, Ahmed Abbasi

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

Buy Tesla, Sell Ford: Assessing Implicit Stock Market Preference in Pre-trained Language Models.

Chengyu Chuang, Yi Yang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Unifying Online and Offline Preference for Social Link Prediction.

Fan Zhou, Kunpeng Zhang, Bangying Wu, Yi Yang, Harry Jiannan Wang

INFORMS J. Comput., 2021

Rumor Detection on Social Media with Event Augmentations.

Zhenyu He, Ce Li, Fan Zhou, Yi Yang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learning Numeracy: A Simple Yet Effective Number Embedding Approach Using Knowledge Graph.

Hanyu Duan, Yi Yang, Kar Yan Tam

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Constructing a Psychometric Testbed for Fair Natural Language Processing.

Ahmed Abbasi, David G. Dobolyi, John P. Lalor, Richard G. Netemeyer, Kendall Smith, Yi Yang

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

2020

FinBERT: A Pretrained Language Model for Financial Communications.

Yi Yang, Mark Christopher Siy Uy, Allen Huang

CoRR, 2020

Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification.

Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong

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

Neural Topic Model with Attention for Supervised Learning.

Xinyi Wang, Yi Yang

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder.

Fan Zhou, Shengming Zhang, Yi Yang

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

Interpreting Twitter User Geolocation.

Ting Zhong, Tianliang Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Yi Yang

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

2019

What You Say and How You Say It Matters: Predicting Stock Volatility Using Verbal and Vocal Cues.

Yu Qin, Yi Yang

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

2018

vec2Link: Unifying Heterogeneous Data for Social Link Prediction.

Fan Zhou, Bangying Wu, Yi Yang, Goce Trajcevski, Kunpeng Zhang, Ting Zhong

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2016

Beating the Artificial Chaos: Fighting OSN Spam Using Its Own Templates.

Tiantian Zhu, Hongyu Gao, Yi Yang, Kai Bu, Yan Chen, Doug Downey, Kathy Lee, Alok N. Choudhary

IEEE/ACM Trans. Netw., 2016

The Stability and Usability of Statistical Topic Models.

Yi Yang, Shimei Pan, Jie Lu, Mercan Topkara, Yangqiu Song

ACM Trans. Interact. Intell. Syst., 2016

Improving Topic Model Stability for Effective Document Exploration.

Yi Yang, Shimei Pan, Yangqiu Song, Jie Lu, Mercan Topkara

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

User-directed Non-Disruptive Topic Model Update for Effective Exploration of Dynamic Content.

Yi Yang, Shimei Pan, Yangqiu Song, Jie Lu, Mercan Topkara

Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

Efficient Methods for Incorporating Knowledge into Topic Models.

Yi Yang, Doug Downey, Jordan L. Boyd-Graber

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Efficient Methods for Inferring Large Sparse Topic Hierarchies.

Doug Downey, Chandra Bhagavatula, Yi Yang

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Incorporating conditional random fields and active learning to improve sentiment identification.

Kunpeng Zhang, Yusheng Xie, Yi Yang, Aaron Sun, Hengchang Liu, Alok N. Choudhary

Neural Networks, 2014

Learning Representations for Weakly Supervised Natural Language Processing Tasks.

Fei Huang, Arun Ahuja, Doug Downey, Yi Yang, Yuhong Guo, Alexander Yates

Comput. Linguistics, 2014

A Systematic Framework for Sentiment Identification by Modeling User Social Effects.

Kunpeng Zhang, Yi Yang, Aaron Sun, Hengchang Liu

Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

Spam ain't as diverse as it seems: throttling OSN spam with templates underneath.

Hongyu Gao, Yi Yang, Kai Bu, Yan Chen, Doug Downey, Kathy Lee, Alok N. Choudhary

Proceedings of the 30th Annual Computer Security Applications Conference, 2014

2013

WebSAIL Wikifier: English Entity Linking at TAC 2013.

Thanapon Noraset, Chandra Bhagavatula, Yi Yang, Doug Downey

Proceedings of the Sixth Text Analysis Conference, 2013

Overcoming the Memory Bottleneck in Distributed Training of Latent Variable Models of Text.

Yi Yang, Alexander Yates, Doug Downey

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013