Wenhao Yu
7 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
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A spatial co-location mining algorithm that includes adaptive proximity improvements and distant instance references
2018 · International Journal of Geographical Information Systems
Spatial co-location pattern mining is employed to identify a group of spatial types whose instances are frequently located in spatial proximity. Current co-location mining methods have two limitations: (1) it is difficult to set an …
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KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering
2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2022.
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GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT
2023 · arXiv (Cornell University)
Decision-makers in GIS need to combine a series of spatial algorithms and operations to solve geospatial tasks. For example, in the task of facility siting, the Buffer tool is usually first used to locate areas …
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APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning
2023
Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.
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A Unified Perspective on Multiple Shooting In Differential Dynamic Programming
2023 · arXiv (Cornell University)
Differential Dynamic Programming (DDP) is an efficient computational tool for solving nonlinear optimal control problems. It was originally designed as a single shooting method and thus is sensitive to the initial guess supplied. This work …
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DocBench: A Benchmark for Evaluating LLM-based Document Reading Systems
2025
Anni Zou, Wenhao Yu, Hongming Zhang, Kaixin Ma, Deng Cai, Zhuosheng Zhang, Hai Zhao, Dong Yu. Proceedings of the 4th International Workshop on Knowledge-Augmented Methods for Natural Language Processing. 2025.
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Do Retrieval-Augmented Language Models Adapt to Varying User Needs?
2025 · arXiv (Cornell University)
Recent advancements in Retrieval-Augmented Language Models (RALMs) have demonstrated their efficacy in knowledge-intensive tasks. However, existing evaluation benchmarks often assume a single optimal approach to leveraging retrieved information, failing to account for varying user needs. …