Yi Yang - RankMe

95 papers A* 14A 4B 1Journal 57Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EvasionBench: Detecting Evasive Answers in Financial Q&A via Multi-Model Consensus and LLM-as-Judge. CoRR Shijian Ma, Yan Lin, Yi Yang
2026	J	`jnl`	KV-Embedding: Training-free Text Embedding via Internal KV Re-routing in Decoder-only LLMs. CoRR Yixuan Tang, Yi Yang
2026	J	`jnl`	Mind the Shift: Decoding Monetary Policy Stance from FOMC Statements with Large Language Models. CoRR Yixuan Tang, Yi Yang
2026	J	`jnl`	Semantic duality in hypergraphs: Uncertainty-aware bipolar evidence aggregation for temporal knowledge graph reasoning. Expert Syst. Appl. Bin Chen, Yi Yang, Zhangtao Cheng, Xueting Liu, Yicheng Xin, Kunpeng Zhang, Fan Zhou
2025	J	`jnl`	Adapting General-Purpose Embedding Models to Private Datasets Using Keyword-based Retrieval. CoRR Yubai Wei, Jiale Han, Yi Yang
2025	J	`jnl`	Adaptive Sampled Softmax with Inverted Multi-Index: Methods, Theory and Applications. CoRR Jin Chen, Jin Zhang, Xu Huang, Yi Yang, Defu Lian, Enhong Chen
2025	A*	`conf`	Adversarial Mixup Unlearning. ICLR Zhuoyi Peng, Yixuan Tang, Yi Yang
2025	J	`jnl`	Adversarial Mixup Unlearning. CoRR Zhuoyi Peng, Yixuan Tang, Yi Yang
2025	J	`jnl`	Bridging the LLM Accessibility Divide? Performance, Fairness, and Cost of Closed versus Open LLMs for Automated Essay Scoring. CoRR Kezia Oketch, John P. Lalor, Yi Yang, Ahmed Abbasi
2025	—	`conf`	Efficient Multi-Expert Tabular Language Model for Banking. KDD (1) Yue Guo, Wentao Zhang, Xiaojun Zhang, Vincent W. Zheng, Yi Yang
2025	A*	`conf`	Evaluating and Aligning Human Economic Risk Preferences in LLMs. EMNLP Jiaxin Liu, Yixuan Tang, Yi Yang, Kar Yan Tam
2025	J	`jnl`	Evaluating and Aligning Human Economic Risk Preferences in LLMs. CoRR Jiaxin Liu, Yi Yang, Kar Yan Tam
2025	A*	`conf`	FinMTEB: Finance Massive Text Embedding Benchmark. EMNLP Yixuan Tang, Yi Yang
2025	J	`jnl`	FinMTEB: Finance Massive Text Embedding Benchmark. CoRR Yixuan Tang, Yi Yang
2025	J	`jnl`	GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings. CoRR Yixuan Tang, Yi Yang
2025	J	`jnl`	Hierarchical Deep Document Model. IEEE Trans. Knowl. Data Eng. Yi Yang, John P. Lalor, Ahmed Abbasi, Daniel Dajun Zeng
2025	J	`jnl`	HoneyImage: Verifiable, Harmless, and Stealthy Dataset Ownership Verification for Image Models. CoRR Zhihao Zhu, Jiale Han, Yi Yang
2025	J	`jnl`	Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework. CoRR Hongyi Tang, Zhihao Zhu, Yi Yang
2025	—	`conf`	Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction Tuning. ACL (Findings) Jiaqi Li, Yixuan Tang, Yi Yang
2025	J	`jnl`	PersonaFuse: A Personality Activation-Driven Framework for Enhancing Human-LLM Interactions. CoRR Yixuan Tang, Yi Yang, Ahmed Abbasi
2025	J	`jnl`	PersonaTwin: A Multi-Tier Prompt Conditioning Framework for Generating and Evaluating Personalized Digital Twins. CoRR Sihan Chen, John P. Lalor, Yi Yang, Ahmed Abbasi
2025	J	`jnl`	Predicting Practically? Domain Generalization for Predictive Analytics in Real-world Environments. CoRR Hanyu Duan, Yi Yang, Ahmed Abbasi, Kar Yan Tam
2025	J	`jnl`	RAG Meets Temporal Graphs: Time-Sensitive Modeling and Retrieval for Evolving Knowledge. CoRR Jiale Han, Austin Cheung, Yubai Wei, Zheng Yu, Xusheng Wang, Bing Zhu, Yi Yang
2025	J	`jnl`	Ready2Unlearn: A Learning-Time Approach for Preparing Models with Future Unlearning Readiness. CoRR Hanyu Duan, Yi Yang, Ahmed Abbasi, Kar Yan Tam
2025	J	`jnl`	Revealing the Numeracy Gap: An Empirical Investigation of Text Embedding Models. CoRR Ningyuan Deng, Hanyu Duan, Yixuan Tang, Yi Yang
2025	J	`jnl`	SR-GRPO: Stable Rank as an Intrinsic Geometric Reward for Large Language Model Alignment. CoRR Yixuan Tang, Yi Yang
2025	A*	`conf`	TDDBench: A Benchmark for Training data detection. ICLR Zhihao Zhu, Yi Yang, Defu Lian
2024	—	`conf`	Beyond Surface Similarity: Detecting Subtle Semantic Shifts in Financial Narratives. NAACL-HLT (Findings) Jiaxin Liu, Yi Yang, Kar Yan Tam
2024	J	`jnl`	Beyond Surface Similarity: Detecting Subtle Semantic Shifts in Financial Narratives. CoRR Jiaxin Liu, Yi Yang, Kar Yan Tam
2024	—	`conf`	Connecting the Dots: Inferring Patent Phrase Similarity with Retrieved Phrase Graphs. NAACL-HLT (Findings) Zhuoyi Peng, Yi Yang
2024	J	`jnl`	Connecting the Dots: Inferring Patent Phrase Similarity with Retrieved Phrase Graphs. CoRR Zhuoyi Peng, Yi Yang
2024	J	`jnl`	Do LLMs Know about Hallucination? An Empirical Investigation of LLM's Hidden States. CoRR Hanyu Duan, Yi Yang, Kar Yan Tam
2024	J	`jnl`	Do We Need Domain-Specific Embedding Models? An Empirical Investigation. CoRR Yixuan Tang, Yi Yang
2024	—	`conf`	EconNLI: Evaluating Large Language Models on Economics Reasoning. ACL (Findings) Yue Guo, Yi Yang
2024	J	`jnl`	EconNLI: Evaluating Large Language Models on Economics Reasoning. CoRR Yue Guo, Yi Yang
2024	—	`conf`	Exploring the Relationship between In-Context Learning and Instruction Tuning. EMNLP (Findings) Hanyu Duan, Yixuan Tang, Yi Yang, Ahmed Abbasi, Kar Yan Tam
2024	J	`jnl`	Federated Meta Embedding Concept Stock Recommendation. IEEE Trans. Big Data Zhuoyi Peng, Yi Yang, Liu Yang, Kai Chen
2024	J	`jnl`	Improving Weak-to-Strong Generalization with Reliability-Aware Alignment. CoRR Yue Guo, Yi Yang
2024	J	`jnl`	Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction Tuning. CoRR Jiaqi Li, Yixuan Tang, Yi Yang
2024	J	`jnl`	LLM-Measure: Generating Valid, Consistent, and Reproducible Text-Based Measures for Social Science Research. CoRR Yi Yang, Hanyu Duan, Jiaxin Liu, Kar Yan Tam
2024	J	`jnl`	MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries. CoRR Yixuan Tang, Yi Yang
2024	J	`jnl`	Pooling And Attention: What Are Effective Designs For LLM-Based Embedding Models? CoRR Yixuan Tang, Yi Yang
2024	A*	`conf`	Self-Explainable Next POI Recommendation. SIGIR Kai Yang, Yi Yang, Qiang Gao, Ting Zhong, Yong Wang, Fan Zhou
2024	J	`jnl`	Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines. ACM Trans. Inf. Syst. John P. Lalor, Ahmed Abbasi, Kezia Oketch, Yi Yang, Nicole Forsgren
2024	J	`jnl`	TDDBench: A Benchmark for Training data detection. CoRR Zhihao Zhu, Yi Yang, Defu Lian
2024	J	`jnl`	TM-OKC: An Unsupervised Topic Model for Text in Online Knowledge Communities. MIS Q. Dongcheng Zhang, Kunpeng Zhang, Yi Yang, David A. Schweidel
2024	J	`jnl`	Understanding Privacy Risks of Embeddings Induced by Large Language Models. CoRR Zhihao Zhu, Ninglu Shao, Defu Lian, Chenwang Wu, Zheng Liu, Yi Yang, Enhong Chen
2023	J	`jnl`	Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads. CoRR Yi Yang, Hanyu Duan, Ahmed Abbasi, John P. Lalor, Kar Yan Tam
2023	—	`conf`	Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning. ACL (1) Fan Zhou, Yuzhou Mao, Liu Yu, Yi Yang, Ting Zhong
2023	A*	`conf`	Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract). AAAI Yuzhou Mao, Liu Yu, Yi Yang, Fan Zhou, Ting Zhong
2023	J	`jnl`	Deep Cross-Attention Network for Crowdfunding Success Prediction. IEEE Trans. Multim. Zhe Tang, Yi Yang, Wen Li, Defu Lian, Lixin Duan
2023	A*	`conf`	Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract). AAAI Yi He, Wenxin Tai, Fan Zhou, Yi Yang
2023	J	`jnl`	Exploring the Relationship between In-Context Learning and Instruction Tuning. CoRR Hanyu Duan, Yixuan Tang, Yi Yang, Ahmed Abbasi, Kar Yan Tam
2023	A*	`conf`	FinEntity: Entity-level Sentiment Classification for Financial Texts. EMNLP Yixuan Tang, Yi Yang, Allen Huang, Andy Tam, Justin Z. Tang
2023	J	`jnl`	FinEntity: Entity-level Sentiment Classification for Financial Texts. CoRR Yixuan Tang, Yi Yang, Allen H. Huang, Andy Tam, Justin Z. Tang
2023	J	`jnl`	InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning. CoRR Yi Yang, Yixuan Tang, Kar Yan Tam
2023	—	`conf`	Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing. EMNLP (Findings) Yue Guo, Zian Xu, Yi Yang
2023	J	`jnl`	Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing. CoRR Yue Guo, Zian Xu, Yi Yang
2023	J	`jnl`	Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity. CoRR Zhihao Zhu, Chenwang Wu, Rui Fan, Yi Yang, Defu Lian, Enhong Chen
2023	J	`jnl`	Model Stealing Attack against Recommender System. CoRR Zhihao Zhu, Rui Fan, Chenwang Wu, Yi Yang, Defu Lian, Enhong Chen
2023	A*	`conf`	Predict the Future from the Past? On the Temporal Data Distribution Shift in Financial Sentiment Classifications. EMNLP Yue Guo, Chenxi Hu, Yi Yang
2023	J	`jnl`	Predict the Future from the Past? On the Temporal Data Distribution Shift in Financial Sentiment Classifications. CoRR Yue Guo, Chenxi Hu, Yi Yang
2023	J	`jnl`	Unlocking the Power of Voice for Financial Risk Prediction: A Theory-Driven Deep Learning Design Approach. MIS Q. Yi Yang, Yu Qin, Yangyang Fan, Zhongju Zhang
2023	J	`jnl`	sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics. Inf. Syst. Res. Yi Yang, Kunpeng Zhang, Yangyang Fan
2022	J	`jnl`	A Simple Yet Efficient Method for Adversarial Word-Substitute Attack. CoRR Tianle Li, Yi Yang
2022	J	`jnl`	Analyzing Firm Reports for Volatility Prediction: A Knowledge-Driven Text-Embedding Approach. INFORMS J. Comput. Yi Yang, Kunpeng Zhang, Yangyang Fan
2022	—	`conf`	Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts. ACL (1) Yue Guo, Yi Yang, Ahmed Abbasi
2022	—	`conf`	BARLE: Background-Aware Representation Learning for Background Shift Out-of-Distribution Detection. EMNLP (Findings) Hanyu Duan, Yi Yang, Ahmed Abbasi, Kar Yan Tam
2022	—	`conf`	Benchmarking Intersectional Biases in NLP. NAACL-HLT John Lalor, Yi Yang, Kendall Smith, Nicole Forsgren, Ahmed Abbasi
2022	—	`conf`	Buy Tesla, Sell Ford: Assessing Implicit Stock Market Preference in Pre-trained Language Models. ACL (2) Chengyu Chuang, Yi Yang
2022	J	`jnl`	Extracting Actionable Insights from Text Data: A Stable Topic Model Approach. MIS Q. Yi Yang, Ramanath Subramanyam
2021	—	`conf`	Constructing a Psychometric Testbed for Fair Natural Language Processing. EMNLP (1) Ahmed Abbasi, David G. Dobolyi, John P. Lalor, Richard G. Netemeyer, Kendall Smith, Yi Yang
2021	—	`conf`	Learning Numeracy: A Simple Yet Effective Number Embedding Approach Using Knowledge Graph. EMNLP (Findings) Hanyu Duan, Yi Yang, Kar Yan Tam
2021	A*	`conf`	Rumor Detection on Social Media with Event Augmentations. SIGIR Zhenyu He, Ce Li, Fan Zhou, Yi Yang
2021	J	`jnl`	Unifying Online and Offline Preference for Social Link Prediction. INFORMS J. Comput. Fan Zhou, Kunpeng Zhang, Bangying Wu, Yi Yang, Harry Jiannan Wang
2020	J	`jnl`	FinBERT: A Pretrained Language Model for Financial Communications. CoRR Yi Yang, Mark Christopher Siy Uy, Allen Huang
2020	B	`conf`	Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. COLING Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong
2020	J	`jnl`	Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. CoRR Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong
2020	A*	`conf`	Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder. ACL Fan Zhou, Shengming Zhang, Yi Yang
2020	A*	`conf`	Interpreting Twitter User Geolocation. ACL Ting Zhong, Tianliang Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Yi Yang
2020	A	`conf`	Neural Topic Model with Attention for Supervised Learning. AISTATS Xinyi Wang, Yi Yang
2019	—	`conf`	What You Say and How You Say It Matters: Predicting Stock Volatility Using Verbal and Vocal Cues. ACL (1) Yu Qin, Yi Yang
2018	A	`conf`	vec2Link: Unifying Heterogeneous Data for Social Link Prediction. CIKM Fan Zhou, Bangying Wu, Yi Yang, Goce Trajcevski, Kunpeng Zhang, Ting Zhong
2016	J	`jnl`	Beating the Artificial Chaos: Fighting OSN Spam Using Its Own Templates. IEEE/ACM Trans. Netw. Tiantian Zhu, Hongyu Gao, Yi Yang, Kai Bu, Yan Chen, Doug Downey, Kathy Lee, Alok N. Choudhary
2016	A*	`conf`	Improving Topic Model Stability for Effective Document Exploration. IJCAI Yi Yang, Shimei Pan, Yangqiu Song, Jie Lu, Mercan Topkara
2016	J	`jnl`	The Stability and Usability of Statistical Topic Models. ACM Trans. Interact. Intell. Syst. Yi Yang, Shimei Pan, Jie Lu, Mercan Topkara, Yangqiu Song
2015	A*	`conf`	Efficient Methods for Incorporating Knowledge into Topic Models. EMNLP Yi Yang, Doug Downey, Jordan L. Boyd-Graber
2015	—	`conf`	Efficient Methods for Inferring Large Sparse Topic Hierarchies. ACL (1) Doug Downey, Chandra Bhagavatula, Yi Yang
2015	A	`conf`	User-directed Non-Disruptive Topic Model Update for Effective Exploration of Dynamic Content. IUI Yi Yang, Shimei Pan, Yangqiu Song, Jie Lu, Mercan Topkara
2014	—	`conf`	A Systematic Framework for Sentiment Identification by Modeling User Social Effects. WI-IAT (1) Kunpeng Zhang, Yi Yang, Aaron Sun, Hengchang Liu
2014	J	`jnl`	Incorporating conditional random fields and active learning to improve sentiment identification. Neural Networks Kunpeng Zhang, Yusheng Xie, Yi Yang, Aaron Sun, Hengchang Liu, Alok N. Choudhary
2014	J	`jnl`	Learning Representations for Weakly Supervised Natural Language Processing Tasks. Comput. Linguistics Fei Huang, Arun Ahuja, Doug Downey, Yi Yang, Yuhong Guo, Alexander Yates
2014	A	`conf`	Spam ain't as diverse as it seems: throttling OSN spam with templates underneath. ACSAC Hongyu Gao, Yi Yang, Kai Bu, Yan Chen, Doug Downey, Kathy Lee, Alok N. Choudhary
2013	—	`conf`	Overcoming the Memory Bottleneck in Distributed Training of Latent Variable Models of Text. HLT-NAACL Yi Yang, Alexander Yates, Doug Downey
2013	—	`conf`	WebSAIL Wikifier: English Entity Linking at TAC 2013. TAC Thanapon Noraset, Chandra Bhagavatula, Yi Yang, Doug Downey