Results 11 to 20 of about 585,619 (290)
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
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
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
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
semanticscholar +1 more source
RACE: Large-scale ReAding Comprehension Dataset From Examinations [PDF]
Conference on Empirical Methods in Natural Language Processing, 2017 We present RACE, a new dataset for benchmark evaluation of methods in the reading comprehension task. Collected from the English exams for middle and high school Chinese students in the age range between 12 to 18, RACE consists of near 28,000 passages ...
Guokun Lai +4 more
semanticscholar +1 more source
Adversarial Examples for Evaluating Reading Comprehension Systems [PDF]
Conference on Empirical Methods in Natural Language Processing, 2017 Standard accuracy metrics indicate that reading comprehension systems are making rapid progress, but the extent to which these systems truly understand language remains unclear.
Robin Jia, Percy Liang
semanticscholar +1 more source
MAttNet: Modular Attention Network for Referring Expression Comprehension [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 In this paper, we address referring expression comprehension: localizing an image region described by a natural language expression. While most recent work treats expressions as a single unit, we propose to decompose them into three modular components ...
Licheng Yu +6 more
semanticscholar +1 more source
Generation and Comprehension of Unambiguous Object Descriptions [PDF]
Computer Vision and Pattern Recognition, 2015 We propose a method that can generate an unambiguous description (known as a referring expression) of a specific object or region in an image, and which can also comprehend or interpret such an expression to infer which object is being described. We show
Junhua Mao +5 more
semanticscholar +1 more source
Reading Skills in Preschool and School-aged Children with Unilateral Cochlear Implants in Iran: A Narrative Review [PDF]
Journal of Rehabilitation Sciences and Research, 2022 Background: The acquisition of reading skills is one the most important challenges a cochlear implanted child faces in his/her life. Although cochlearimplants can improve speech, language, and reading skills, some childrencontinue to experience reading ...
Zahra Jeddi +3 more
doaj +1 more source