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On the Comprehension of Program Comprehension
Research in program comprehension has evolved considerably over the past decades. However, only little is known about how developers practice program comprehension in their daily work. This article reports on qualitative and quantitative research to comprehend the strategies, tools, and knowledge used for program comprehension.
Tobias Roehm
exaly +2 more sources
SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension [PDF]
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
Comprehension and Knowledge [PDF]
Abstract The ability of an agent to comprehend a sentence is tightly connected to the agent’s prior experiences and background knowledge. The article suggests to interpret comprehension as a modality and proposes a complete bimodal logical system that describes an interplay between comprehension and knowledge modalities.
Pavel Naumov, Kevin Ros
openaire +2 more sources
DreamLLM: Synergistic Multimodal Comprehension and Creation [PDF]
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]
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
doaj +1 more source
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension [PDF]
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
Comprehensive comprehensions [PDF]
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.
Jones, Simon L. Peyton, Wadler, Philip
openaire +1 more source
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension [PDF]
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
SQuAD: 100,000+ Questions for Machine Comprehension of Text [PDF]
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
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

