Extended overview of CLEF HIPE 2020: named entity processing on historical newspapers
M Ehrmann, M Romanello, A Flückiger… - CEUR Workshop …, 2020 - zora.uzh.ch
This paper presents an extended overview of the first edition of HIPE (Identifying Historical
People, Places and other Entities), a pioneering shared task dedicated to the evaluation of …
People, Places and other Entities), a pioneering shared task dedicated to the evaluation of …
Less training, more repairing please: revisiting automated program repair via zero-shot learning
Due to the promising future of Automated Program Repair (APR), researchers have
proposed various APR techniques, including heuristic-based, template-based, and …
proposed various APR techniques, including heuristic-based, template-based, and …
Dynamic graph convolutional recurrent network for traffic prediction: Benchmark and solution
Traffic prediction is the cornerstone of intelligent transportation system. Accurate traffic
forecasting is essential for the applications of smart cities, ie, intelligent traffic management …
forecasting is essential for the applications of smart cities, ie, intelligent traffic management …
Simba: Scaling deep-learning inference with multi-chip-module-based architecture
Package-level integration using multi-chip-modules (MCMs) is a promising approach for
building large-scale systems. Compared to a large monolithic die, an MCM combines many …
building large-scale systems. Compared to a large monolithic die, an MCM combines many …
How effective are neural networks for fixing security vulnerabilities
Security vulnerability repair is a difficult task that is in dire need of automation. Two groups of
techniques have shown promise:(1) large code language models (LLMs) that have been pre …
techniques have shown promise:(1) large code language models (LLMs) that have been pre …
Improving bug detection via context-based code representation learning and attention-based neural networks
Bug detection has been shown to be an effective way to help developers in detecting bugs
early, thus, saving much effort and time in software development process. Recently, deep …
early, thus, saving much effort and time in software development process. Recently, deep …
Triton: an intermediate language and compiler for tiled neural network computations
The validation and deployment of novel research ideas in the field of Deep Learning is often
limited by the availability of efficient compute kernels for certain basic primitives. In …
limited by the availability of efficient compute kernels for certain basic primitives. In …
[PDF][PDF] How novelists use generative language models: An exploratory user study.
Generative language models are garnering interest as creative tools. We present a user
study to explore how fiction writers use generative language models during their writing …
study to explore how fiction writers use generative language models during their writing …
Model generalization on COVID-19 fake news detection
Amid the pandemic COVID-19, the world is facing unprecedented infodemic with the
proliferation of both fake and real information. Considering the problematic consequences …
proliferation of both fake and real information. Considering the problematic consequences …
Analyzing user perspectives on mobile app privacy at scale
In this paper we present a methodology to analyze users' concerns and perspectives about
privacy at scale. We leverage NLP techniques to process millions of mobile app reviews and …
privacy at scale. We leverage NLP techniques to process millions of mobile app reviews and …