Search Results - "Zhou, Chunting"

Performance analysis of a double-effect absorption refrigeration cycle using a low-temperature ethanol solution as the working pair by Li, Yiqun, Zhou, Chunting, Wang, Yanan, Luo, Chunhuan

“…In this paper, a double-effect absorption refrigeration system using a low-temperature working pair, lithium bromide (LiBr)+1-butyl-3-methylimidazolium bromide…”
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Assessing the Changes of Mumps Characteristics with Different Vaccination Strategies Using Surveillance Data: Importance to Introduce the 2-Dose Schedule in Quzhou of China by Wang, Shuangqing, Gong, Xiaoying, Li, Sheng, Yin, Zhiying, Song, Wei, Zhou, Chunting, Fang, Quanjun

“…Background. From 2005 to 2016, the prevention and control of mumps in China have undergone three stages of transition. These include the use of MuCV as a…”
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Study on the thermodynamic performance of solar absorption refrigeration combined with a ‘seasonal cold storage’ system by Li, Muqun, Zhou, Chunting, Chen, Mingyu, Luo, Chunhuan

“…•A novel solar absorption cooling system with ‘seasonal cold storage’ is proposed.•LiBr-[BMIM]Cl/CH3OH has an integrated COP of 0.90 and ESD of…”
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A double-effect/two-stage absorption refrigeration and thermal energy storage hybrid cycle using dual working fluids by Zhou, Chunting, Lv, Fengze, Wan, Zihan, Wang, Yanan, Luo, Chunhuan

“…•The hybrid cycle can get a generation temperature of 385 K and a COP of 2.37.•This cycle can work below 273.15 K with a high ESD over 300 kJ·kg−1.•It realized…”
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Thermodynamic analysis of a novel absorption thermochemical energy storage cycle with double compression coupled two-stage generation by Wei, Jingwen, Zhou, Chunting, Mo, Zhuolin, Zhang, Xiangguo, Luo, Chunhuan, Li, Na, Li, Zhiyuan

“…•An energy storage cycle obtaining low Tg and higher COP and ESD was proposed.•COP using LiNO3-[BMIM]NO3/H2O working fluid was 12.5 and ESD was up to…”
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Advances in mesenchymal stem cell-centered stem cell therapy in the treatment of hypoxic-ischemic injury by Qi, Lixin, Hu, Lei, Qian, Rengcheng, Ye, Bangming, Feng, Yani, Deng, Yixuan, Wang, Chenyi, Zhou, Chunting, Liu, Guanhao, Gao, Xiuying, Lin, Congying, Ding, Qiang, Song, Chunyu, Zhao, Ziming, Lin, Zhenlang, Zhu, Jianghu, Zhang, Min

“…•Stem cells inhibit apoptosis by paracrine upregulation of Bcl-2/Bax ratio.•Stem cells can regulate the phenotype of glial cells and improve inflammatory…”
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A practical solution to wireless energy transfer in WSNs by Zhenquan Qin, Chunting Zhou, Yu Yue, Lei Wang, Liang Sun, Yuanyuan Zhang

“…With the advancement in the technology of wireless energy transfer based on magnetic resonant coupling, multiple nodes can be charged simultaneously. In this…”
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Look-back Decoding for Open-Ended Text Generation by Xu, Nan, Zhou, Chunting, Celikyilmaz, Asli, Ma, Xuezhe

“…Given a prefix (context), open-ended generation aims to decode texts that are coherent, which do not abruptly drift from previous topics, and informative,…”
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Modeling and Optimization of a Special Multistage Star Switching （SMSSS） System with SEs at Unequal Port Rates by XU Zhanqi WANG Chunting ZHOU Zhiqiang HUANG Jiangjiang MA Tao

“…There has been lack of an efficient design and evaluation method for the multistage star switching（MSSS） architecture in which the ports＇ rates of each…”
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In-context Examples Selection for Machine Translation by Agrawal, Sweta, Zhou, Chunting, Lewis, Mike, Zettlemoyer, Luke, Ghazvininejad, Marjan

“…Large-scale generative models show an impressive ability to perform a wide range of Natural Language Processing (NLP) tasks using in-context learning, where a…”
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Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction by Zhou, Chunting, Neubig, Graham

“…ACL 2017 Labeled sequence transduction is a task of transforming one sequence into another sequence that satisfies desiderata specified by a set of labels. In…”
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Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model by Zhou, Chunting, Yu, Lili, Babu, Arun, Tirumala, Kushal, Yasunaga, Michihiro, Shamis, Leonid, Kahn, Jacob, Ma, Xuezhe, Zettlemoyer, Luke, Levy, Omer

“…We introduce Transfusion, a recipe for training a multi-modal model over discrete and continuous data. Transfusion combines the language modeling loss function…”
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Self-Alignment with Instruction Backtranslation by Li, Xian, Yu, Ping, Zhou, Chunting, Schick, Timo, Levy, Omer, Zettlemoyer, Luke, Weston, Jason, Lewis, Mike

“…We present a scalable method to build a high quality instruction following language model by automatically labelling human-written text with corresponding…”
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Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length by Ma, Xuezhe, Yang, Xiaomeng, Xiong, Wenhan, Chen, Beidi, Yu, Lili, Zhang, Hao, May, Jonathan, Zettlemoyer, Luke, Levy, Omer, Zhou, Chunting

“…The quadratic complexity and weak length extrapolation of Transformers limits their ability to scale to long sequences, and while sub-quadratic solutions like…”
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Distributionally Robust Multilingual Machine Translation by Zhou, Chunting, Levy, Daniel, Li, Xian, Ghazvininejad, Marjan, Neubig, Graham

“…Multilingual neural machine translation (MNMT) learns to translate multiple language pairs with a single model, potentially improving both the accuracy and the…”
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Instruction-tuned Language Models are Better Knowledge Learners by Jiang, Zhengbao, Sun, Zhiqing, Shi, Weijia, Rodriguez, Pedro, Zhou, Chunting, Neubig, Graham, Lin, Xi Victoria, Yih, Wen-tau, Iyer, Srinivasan

“…In order for large language model (LLM)-based assistants to effectively adapt to evolving information needs, it must be possible to update their factual…”
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Understanding Knowledge Distillation in Non-autoregressive Machine Translation by Zhou, Chunting, Neubig, Graham, Gu, Jiatao

“…Non-autoregressive machine translation (NAT) systems predict a sequence of output tokens in parallel, achieving substantial improvements in generation speed…”
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Examining and Combating Spurious Features under Distribution Shift by Zhou, Chunting, Ma, Xuezhe, Michel, Paul, Neubig, Graham

“…A central goal of machine learning is to learn robust representations that capture the causal relationship between inputs features and output labels. However,…”
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Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models by Liang, Weixin, Yu, Lili, Luo, Liang, Iyer, Srinivasan, Dong, Ning, Zhou, Chunting, Ghosh, Gargi, Lewis, Mike, Yih, Wen-tau, Zettlemoyer, Luke, Lin, Xi Victoria

“…The development of large language models (LLMs) has expanded to multi-modal systems capable of processing text, images, and speech within a unified framework…”
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MART: Improving LLM Safety with Multi-round Automatic Red-Teaming by Ge, Suyu, Zhou, Chunting, Hou, Rui, Khabsa, Madian, Wang, Yi-Chia, Wang, Qifan, Han, Jiawei, Mao, Yuning

“…Red-teaming is a common practice for mitigating unsafe behaviors in Large Language Models (LLMs), which involves thoroughly assessing LLMs to identify…”
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