Results 31 to 40 of about 3,866,035 (337)
Frontiers in Applied Mathematics and Statistics, 2023 Vehicle routing problems are a class of NP-hard combinatorial optimization problems which attract a lot of attention, as they have many practical applications.
Jorin Dornemann
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If Beam Search Is the Answer, What Was the Question? [PDF]
Conference on Empirical Methods in Natural Language Processing, 2020 Quite surprisingly, exact maximum a posteriori (MAP) decoding of neural language generators frequently leads to low-quality results. Rather, most state-of-the-art results on language generation tasks are attained using beam search despite its ...
Clara Meister +2 more
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Generating Natural Language Descriptions From Tables
IEEE Access, 2020 This paper proposes a neural generative architecture, namely NLDT, to generate a natural language short text describing a table which has formal structure and valuable information.
Juan Cao
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X17 search project with EAR2 neutron beam [PDF]
EPJ Web of Conferences, 2023 We present the state of the art of the n_TOF Collaboration Working Group activity dedicated to study how to solve the puzzle about the existence of the so called new particle X17, spotted for the first time few years ago by a team at ATOMKI in Hungary ...
Gervino Gianpiero +12 more
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What Do You Get When You Cross Beam Search with Nucleus Sampling? [PDF]
First Workshop on Insights from Negative Results in NLP, 2021 We combine beam search with the probabilistic pruning technique of nucleus sampling to create two deterministic nucleus search algorithms for natural language generation. The first algorithm, p-exact search, locally prunes the next-token distribution and
Uri Shaham, Omer Levy
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TABS: Efficient Textual Adversarial Attack for Pre-trained NL Code Model Using Semantic Beam Search
Conference on Empirical Methods in Natural Language Processing, 2022 As pre-trained models have shown successful performance in program language processing as well as natural language processing, adversarial attacks on these models also attract attention.However, previous works on black-box adversarial attacks generated ...
YunSeok Choi, Hyojun Kim, Jee-Hyong Lee
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Path Optimization of Stacker in Compact Storage System with Dual-Port Layout
Shanghai Jiaotong Daxue xuebao, 2022 The compact storage system is a new storage technology in the field of intelligent logistics technology, and its most typical feature is that it can realize multi-depth storage of unit loads.
YAN Qing, LU Jiansha, JIANG Weiguang, SHAO Yiping, TANG Hongtao, LI Yingde
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Diverse Decoding for Abstractive Document Summarization
Applied Sciences, 2019 Recently, neural sequence-to-sequence models have made impressive progress in abstractive document summarization. Unfortunately, as neural abstractive summarization research is in a primitive stage, the performance of these models is still far from ideal.
Xu-Wang Han +3 more
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Dual-Modal Transformer with Enhanced Inter- and Intra-Modality Interactions for Image Captioning
Applied Sciences, 2022 Image captioning is oriented towards describing an image with the best possible use of words that can provide a semantic, relatable meaning of the scenario inscribed.
Deepika Kumar +3 more
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