Results 1 to 10 of about 1,528,550 (230)
SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension [PDF]
arXiv.org, 2023 Based on powerful Large Language Models (LLMs), recent generative Multimodal Large Language Models (MLLMs) have gained prominence as a pivotal research area, exhibiting remarkable capability for both comprehension and generation. In this work, we address
Bohao Li +5 more
semanticscholar +1 more source
Comprehensive comprehensions [PDF]
Proceedings of the ACM SIGPLAN workshop on Haskell workshop, 2007 We propose an extension to list comprehensions that makes it easy to express the kind of queries one would write in SQL using ORDER BY, GROUP BY, and LIMIT. Our extension adds expressive power to comprehensions, and generalises the SQL constructs that inspired it. It is easy to implement, using simple desugaring rules.
Simon Peyton Jones, Philip Wadler
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DreamLLM: Synergistic Multimodal Comprehension and Creation [PDF]
International Conference on Learning Representations, 2023 This paper presents DreamLLM, a learning framework that first achieves versatile Multimodal Large Language Models (MLLMs) empowered with frequently overlooked synergy between multimodal comprehension and creation.
Runpei Dong +13 more
semanticscholar +1 more source
Accessibility and comprehension of COVID-19 information for people with blindness and low vision [PDF]
Specijalna Edukacija i Rehabilitacija, 2023 In crisis situations like the COVID-19 pandemic, timely and comprehensive health information for people with blindness and low vision is extremely important.
Mašić-Fabac Valentina S. +1 more
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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension [PDF]
Annual Meeting of the Association for Computational Linguistics, 2019 We present BART, a denoising autoencoder for pretraining sequence-to-sequence models. BART is trained by (1) corrupting text with an arbitrary noising function, and (2) learning a model to reconstruct the original text.
M. Lewis +7 more
semanticscholar +1 more source
Ecological Indicators, 2021 The Shiyang River Basin is a typical arid watershed in Northwest China. Scientific understanding of the driving mechanism of runoff change is the basis of scientific utilization of water resources and regional sustainable development.
Dongxiang Xue +7 more
doaj +1 more source
SQuAD: 100,000+ Questions for Machine Comprehension of Text [PDF]
Conference on Empirical Methods in Natural Language Processing, 2016 We present the Stanford Question Answering Dataset (SQuAD), a new reading comprehension dataset consisting of 100,000+ questions posed by crowdworkers on a set of Wikipedia articles, where the answer to each question is a segment of text from the ...
Pranav Rajpurkar +3 more
semanticscholar +1 more source
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension [PDF]
Annual Meeting of the Association for Computational Linguistics, 2017 We present TriviaQA, a challenging reading comprehension dataset containing over 650K question-answer-evidence triples. TriviaQA includes 95K question-answer pairs authored by trivia enthusiasts and independently gathered evidence documents, six per ...
Mandar Joshi +3 more
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The effectiveness of concept mapping teaching method on students' intelligence beliefs and comprehension in science [PDF]
مطالعات روانشناسی تربیتی, 2022 The present study aimed to investigate the effectiveness of concept mapping teaching method on students' intelligence beliefs and comprehension in Science.
Rojin Rahmati Nejad +2 more
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Nature Sustainability, 2020 Measuring the full set of society's assets is critical to the design of policies for a sustainable future.
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