Search Results - "Yin, Qingyu"

Considering Differentiated Pricing Mechanisms for Multiple Power Levels by Li, Lili, Yin, Qingyu, Liu, Xiaonan, Zu, Guoqiang

“…With the development of supercharging technology, charging stations will face supercharging piles and fast-charging piles coexisting for a long time. The…”
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XTQA: Span-Level Explanations for Textbook Question Answering by Ma, Jie, Chai, Qi, Liu, Jun, Yin, Qingyu, Wang, Pinghui, Zheng, Qinghua

“…Textbook question answering (TQA) is the task of correctly answering diagram or nondiagram (ND) questions given large multimodal contexts consisting of…”
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Keywords extraction with deep neural network model by Zhang, Yu, Tuo, Mingxiang, Yin, Qingyu, Qi, Le, Wang, Xuxiang, Liu, Ting

“…Keywords can express the main content of an article or a sentence. Keywords extraction is a critical issue in many Natural Language Processing (NLP)…”
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Conjugate Addition of α‐Substituted Acyl Imidazoles to Nitroalkenes Catalyzed by Nickel Bisoxazoline and B(C6F5)3 by Yin, Qingyu, Li, Zhiming, Wu, Fan, Ji, Mingtong, Fu, Chao, Wu, Xiaoyu

“…A diastereoselective and enantioselective conjugate addition of α‐substituted acyl imidazole to nitroalkene catalyzed by nickel bisoxazoline complex and…”
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MS-Transformer: Introduce multiple structural priors into a unified transformer for encoding sentences by Qi, Le, Zhang, Yu, Yin, Qingyu, Liu, Ting

“…Transformers have been widely utilized in recent NLP studies. Unlike CNNs or RNNs, the vanilla Transformer is position-insensitive, and thus is incapable of…”
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Amide phosphonium salt catalyzed enantioselective Mannich addition of isoxazole-based nucleophiles to β,γ-alkynyl-α-ketimino esters by Gu, Congzheng, Tian, Guangzheng, Yin, Qingyu, Wu, Fan, Li, Zhiming, Wu, Xiaoyu

“…An enantioselective Mannich addition of 3,5-disubstituted 4-nitroisoxazoles to β,γ-alkynyl-α-ketimino esters promoted by an amide phosphonium salt-based…”
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Neural recovery machine for Chinese dropped pronoun by ZHANG, Weinan, LIU, Ting, YIN, Qingyu, ZHANG, Yu

“…Dropped pronouns (DPs) are ubiquitous in prodrop languages like Chinese, Japanese etc. Previous work mainly focused on painstakingly exploring the empirical…”
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Understanding Inter-Session Intentions via Complex Logical Reasoning by Bai, Jiaxin, Luo, Chen, Li, Zheng, Yin, Qingyu, Song, Yangqiu

“…Understanding user intentions is essential for improving product recommendations, navigation suggestions, and query reformulations. However, user intentions…”
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Design and Implementation of Endogenous Intelligence-based Multi-Access Edge Computing by Wang, Yuyang, Zhao, Liqiang, Tu, Haiyan, Zhou, Guorong, Yin, Qingyu

“…With the continuous development of multi-access edge computing (MEC) and artificial intelligence (AI), a new paradigm for 6G, namely endogenous intelligence…”
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Networking Mode and Evaluation Method of Low Voltage Direct Current Charging and Discharging System in Residential Communities by Wu, Bin, Li, Lili, Yin, Qingyu, Song, Jinzhao, Xiang, Yaxuan, Zhang, Zhida

“…This paper proposes an AC/DC decoupling-based DC flexible stack mode according to the characteristics of low-voltage DC charging and discharging systems for…”
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IterAlign: Iterative Constitutional Alignment of Large Language Models by Chen, Xiusi, Wen, Hongzhi, Nag, Sreyashi, Luo, Chen, Yin, Qingyu, Li, Ruirui, Li, Zheng, Wang, Wei

“…With the rapid development of large language models (LLMs), aligning LLMs with human values and societal norms to ensure their reliability and safety has…”
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StableMask: Refining Causal Masking in Decoder-only Transformer by Yin, Qingyu, He, Xuzheng, Zhuang, Xiang, Zhao, Yu, Yao, Jianhua, Shen, Xiaoyu, Zhang, Qiang

“…The decoder-only Transformer architecture with causal masking and relative position encoding (RPE) has become the de facto choice in language modeling. Despite…”
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Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning by Yin, Qingyu, He, Xuzheng, Deng, Luoao, Leong, Chak Tou, Wang, Fan, Yan, Yanzhao, Shen, Xiaoyu, Zhang, Qiang

“…Fine-tuning and in-context learning (ICL) are two prevalent methods in imbuing large language models with task-specific knowledge. It is commonly believed that…”
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Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels by Yang, Bang, Liu, Fenglin, Li, Zheng, Yin, Qingyu, You, Chenyu, Yin, Bing, Zou, Yuexian

“…Generating an informative and attractive title for the product is a crucial task for e-commerce. Most existing works follow the standard multimodal natural…”
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Knowledge Graph Reasoning over Entities and Numerical Values by Bai, Jiaxin, Luo, Chen, Li, Zheng, Yin, Qingyu, Yin, Bing, Song, Yangqiu

“…A complex logic query in a knowledge graph refers to a query expressed in logic form that conveys a complex meaning, such as where did the Canadian Turing…”
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Graph Reasoning for Question Answering with Triplet Retrieval by Li, Shiyang, Gao, Yifan, Jiang, Haoming, Yin, Qingyu, Li, Zheng, Yan, Xifeng, Zhang, Chao, Yin, Bing

“…Answering complex questions often requires reasoning over knowledge graphs (KGs). State-of-the-art methods often utilize entities in questions to retrieve…”
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Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification by Shi, Qi, Zhang, Yu, Yin, Qingyu, Liu, Ting

“…Table-based fact verification task aims to verify whether the given statement is supported by the given semi-structured table. Symbolic reasoning with logical…”
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Direct Preference Optimization Using Sparse Feature-Level Constraints by Yin, Qingyu, Leong, Chak Tou, Zhang, Hongbo, Zhu, Minjun, Yan, Hanqi, Zhang, Qiang, He, Yulan, Li, Wenjie, Wang, Jun, Zhang, Yue, Yang, Linyi

“…The alignment of large language models (LLMs) with human preferences remains a key challenge. While post-training techniques like Reinforcement Learning from…”
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RNR: Teaching Large Language Models to Follow Roles and Rules by Wang, Kuan, Bukharin, Alexander, Jiang, Haoming, Yin, Qingyu, Wang, Zhengyang, Zhao, Tuo, Shang, Jingbo, Zhang, Chao, Yin, Bing, Li, Xian, Chen, Jianshu, Li, Shiyang

“…Instruction fine-tuning (IFT) elicits instruction following capabilities and steers the behavior of large language models (LLMs) via supervised learning…”
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MMM: Multilingual Mutual Reinforcement Effect Mix Datasets & Test with Open-domain Information Extraction Large Language Models by Gan, Chengguang, Yin, Qingyu, He, Xinyang, Wei, Hanjun, Liang, Yunhao, Lim, Younghun, Wang, Shijian, Huang, Hexiang, Zhang, Qinghao, Ni, Shiwen, Mori, Tatsunori

“…The Mutual Reinforcement Effect (MRE) represents a promising avenue in information extraction and multitasking research. Nevertheless, its applicability has…”
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