Search Results - "Bao, Qiming"

DOA estimation under unknown mutual coupling and multipath by Qimeng Bao, Ko, C.C., Wanjun Zhi

“…We propose a new method for direction of arrival (DOA) estimation in the presence of multipath propagation and mutual coupling for a frequency hopping (FH)…”
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A dynamic window model prediction of artificial potential field method for improving the coincidence of actual and predicted trajectory of underactuated planing craft by Tang, Chuanyin, Xia, Jifeng, Wang, Wankang, Shang, Haijiang, Ji, Wei, Bao, Qiming, Yang, Dongxing

“…With the development of intelligent ships, to address the problem of poor overlap between the actual trajectory and the predicted trajectory of underactuated…”
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Study of White Neutron Source at CYCIAE-100 for Single Event Effect Irradiation Experiment by CHEN Qiming;BAO Jie;MA Xu;GUO Gang;ZHAO Shuyong;ZHANG Zheng;HAN Jinhua;ZHANG Fuqiang;LI Wangtian

“…Neutron-induced single event effects have potential influence on the reliability of electronic devices in aircraft and ground-based nuclear facilities. The…”
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ChatLogic: Integrating Logic Programming with Large Language Models for Multi-Step Reasoning by Wang, Zhongsheng, Liu, Jiamou, Bao, Qiming, Rong, Hongfei, Zhang, Jingfeng

“…Large language models (LLMs) such as ChatGPT and GPT-4 have demonstrated impressive capabilities in various generative tasks. However, their performance is…”
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ChatLogic: Integrating Logic Programming with Large Language Models for Multi-Step Reasoning by Wang, Zhongsheng, Liu, Jiamou, Bao, Qiming, Rong, Hongfei, Zhang, Jingfeng

“…Large language models (LLMs) such as ChatGPT and GPT-4 have demonstrated impressive capabilities in various generative tasks. However, their performance is…”
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Large Language Models Are Not Strong Abstract Reasoners by Gendron, Gaël, Bao, Qiming, Witbrock, Michael, Dobbie, Gillian

“…Large Language Models have shown tremendous performance on a large variety of natural language processing tasks, ranging from text comprehension to common…”
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CoRA: Optimizing Low-Rank Adaptation with Common Subspace of Large Language Models by Xiao, Xiaojun, Shen, Sen, Bao, Qiming, Rong, Hongfei, Liu, Kairui, Wang, Zhongsheng, Liu, Jiamou

“…In fine-tuning large language models (LLMs), conserving computational resources while maintaining effectiveness and improving outcomes within the same…”
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Enhancing Data Augmentation with Knowledge-enriched Data Generation via Dynamic Prompt-tuning Method by Qi, Qianqian, Bao, Qiming, Peng, Alex Yuxuan, Liu, Jiamou, Witbrock, Michael

“…Data augmentation is a popular technique to address the limited amount of training data available for machine learning models. However, existing approaches…”
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AbductionRules: Training Transformers to Explain Unexpected Inputs by Young, Nathan, Bao, Qiming, Bensemann, Joshua, Witbrock, Michael

“…Transformers have recently been shown to be capable of reliably performing logical reasoning over facts and rules expressed in natural language, but abductive…”
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Relating Blindsight and AI: A Review by Bensemann, Joshua, Bao, Qiming, Gendron, Gaël, Hartill, Tim, Witbrock, Michael

“…Journal of Artificial Intelligence and Consciousness, 1-15 (2021) Processes occurring in brains, a.k.a. biological neural networks, can and have been modeled…”
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HHH: An Online Medical Chatbot System based on Knowledge Graph and Hierarchical Bi-Directional Attention by Bao, Qiming, Ni, Lin, Liu, Jiamou

“…This paper proposes a chatbot framework that adopts a hybrid model which consists of a knowledge graph and a text similarity model. Based on this chatbot…”
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Input-length-shortening and text generation via attention values by Tan, Neşet Özkan, Peng, Alex Yuxuan, Bensemann, Joshua, Bao, Qiming, Hartill, Tim, Gahegan, Mark, Witbrock, Michael

“…Identifying words that impact a task's performance more than others is a challenge in natural language processing. Transformers models have recently addressed…”
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Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning by Bao, Qiming, Gendron, Gael, Peng, Alex Yuxuan, Zhong, Wanjun, Tan, Neset, Chen, Yang, Witbrock, Michael, Liu, Jiamou

“…Large language models (LLMs), such as LLaMA, Alpaca, Vicuna, GPT-3.5 and GPT-4, have advanced the performance of AI systems on various natural language…”
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Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation by Bao, Qiming, Peng, Alex Yuxuan, Hartill, Tim, Tan, Neset, Deng, Zhenyun, Witbrock, Michael, Liu, Jiamou

“…Combining deep learning with symbolic logic reasoning aims to capitalize on the success of both fields and is drawing increasing attention. Inspired by…”
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Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models by Bao, Qiming, Leinonen, Juho, Peng, Alex Yuxuan, Zhong, Wanjun, Gendron, Gaël, Pistotti, Timothy, Huang, Alice, Denny, Paul, Witbrock, Michael, Liu, Jiamou

“…Large language models exhibit superior capabilities in processing and understanding language, yet their applications in educational contexts remain…”
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DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions by Ni, Lin, Bao, Qiming, Li, Xiaoxuan, Qi, Qianqian, Denny, Paul, Warren, Jim, Witbrock, Michael, Liu, Jiamou

“…Automated question quality rating (AQQR) aims to evaluate question quality through computational means, thereby addressing emerging challenges in online…”
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Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning by Bao, Qiming, Peng, Alex Yuxuan, Deng, Zhenyun, Zhong, Wanjun, Gendron, Gael, Pistotti, Timothy, Tan, Neset, Young, Nathan, Chen, Yang, Zhu, Yonghua, Denny, Paul, Witbrock, Michael, Liu, Jiamou

“…Combining large language models with logical reasoning enhances their capacity to address problems in a robust and reliable manner. Nevertheless, the intricate…”
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DOA estimation in the presence of unknown mutual coupling and multipath propagation in a frequency hopping system by Qiming Bao, Ko, C.C., Wanjun Zhi

“…We propose a new method for DOA estimation in the presence of multipath propagation and mutual coupling (MC) for a frequency hopping (FH) system. We take MC…”
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