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Author

Liqin Ye

Observed name: Ye, Liqin
ORCID: 0009-0001-0390-8802
Observed ORCID: 0009-0001-0390-8802
OpenAlex ID: A5015193833
Online streaming feature selection for multigranularity hierarchical classification learning
2022 · Chenxi Wang, Xiaoqing Zhang, et al. · Concurrency and Computation Practice and Experience · 11
Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications Globally
2025 · Agam Shah, Siddhant Sukhani, et al. · SSRN Electronic Journal · 3
Mask Removal Algorithm Using GAN Based Models
2022 · Liqin Ye · International Conference on Electronic Communication and Artificial Intelligence (ICECAI) · 3
Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement
2025 · Liqin Ye, Agam Shah, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2
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IPO-Mine: A Toolkit and Dataset for Section-Structured Analysis of Long, Multimodal IPO Documents
2026 · Michael Galarnyk, Siddharth Lohani, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 1
Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications
2025 · Agam Shah, Siddhant Sukhani, et al. · neural information processing systems · 1
EPSBench: Benchmarking LLM Agents for Earnings Forecasting
2026 · Yin, Yanbin, Xu, Chuyu, et al. · arXiv (Cornell University)
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What Can't Jev Decide? Probing the Limits of One-Pass Decision Models
2026 · Yang, Wang, Li, Xinpeng, et al. · arXiv (Cornell University)
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AlphaBet: Reinforcement Learning for LLM Event Forecasting Agents
2026 · Ye, Liqin, Zhang, Rongzhi, et al. · arXiv (Cornell University)
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Forecast-Dojo: Replayable Environments for Benchmarking and Training LLM Forecasting Agents
2026 · Ye, Liqin, Wang, Haorui, et al. · arXiv (Cornell University)
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IPO-Mine: A Toolkit and Dataset for Section-Structured Analysis of Long, Multimodal IPO Documents
2026 · Galarnyk, Michael, Lohani, Siddharth, et al. · arXiv (Cornell University)
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Evolutionary Task Discovery: Advancing Reasoning Frontiers via Skill Composition and Complexity Scaling
2026 · Ye, Liqin, Yin, Yanbin, et al. · arXiv (Cornell University)
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Can LLMs Take the Pulse of the Economy? A Real-Time Evaluation of LLM Nowcasts on Macroeconomic Indicators
2026 · Xinyue Zhao, Ruiyi Zhang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing
2025 · Zhang, Rongzhi, Ye, Liqin, et al. · arXiv (Cornell University)
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Works count: 15
Citation count: 22
H-index: 3
I10-index: 1
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