54 lines
2.5 KiB
Plaintext
54 lines
2.5 KiB
Plaintext
Copyright (c) 2023 ETH Zurich.
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are
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met:
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- Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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- Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer listed
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in this license in the documentation and/or other materials
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provided with the distribution.
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- Neither the name of the copyright holders nor the names of its
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contributors may be used to endorse or promote products derived from
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this software without specific prior written permission.
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The copyright holders provide no reassurances that the source code
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provided does not infringe any patent, copyright, or any other
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intellectual property rights of third parties. The copyright holders
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disclaim any liability to any recipient for claims brought against
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recipient by any third party for infringement of that parties
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intellectual property rights.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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Citation
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========
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Any published work which uses this software should include the
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following citation:
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----------------------------------------------------------------------
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Maciej Besta, Nils Blach, Ales Kubicek, Robert Gerstenberger, Lukas
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Gianinazzi, Joanna Gajda, Tomasz Lehmann, Michał Podstawski, Hubert
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Niewiadomski, Piotr Nyczyk, Torsten Hoefler (2024): Graph of Thoughts:
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Solving Elaborate Problems with Large Language Models. In: Proceedings
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of the AAAI Conference on Artificial Intelligence, 38(16),
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17682-17690. https://doi.org/10.1609/aaai.v38i16.29720
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----------------------------------------------------------------------
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