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By Sufyan bin Uzayr. 2022

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In Software Engineering

Citations in the corpus

A General Language Assistant as a Laboratory for Alignment (2021, methodology): “Next, we computed a toxicity score from model samples of text, conditioned on the prompts, using an open source automated toxicity detector [HU20].”
Are the Code Snippets What We Are Searching for? A Benchmark and an Empirical Study on Code Search with Natural-Language Queries (2020, background): “Many natural-language code search methods have been proposed in the literature, some of which are available as either open-source or commercial tools [6]–[8].”
Virtual reality and augmented reality in social learning spaces: a literature review (2020, background): “…n.d.; Pokémon Go 2016; Star Trek Bridge Crew n.d.), film (Dear Angelica n.d.; Google Spotlight Sto-ries, n.d.), social communities (Mozilla Hubs 2018; Rec Room, n.d.; VRChat, n.d.); and, most interestingly for this survey, educational endeavours (Dede 2009; Dunleavy et al. 2009; Grotzer…”
Characterizing, Modeling, and Benchmarking RocksDB Key-Value Workloads at Facebook (2020, unknown): “RocksDB is a high-performance embedded persistent KV-store that was derived from LevelDB [23] by Facebook [15, 21] and was optimized for fast storage devices such as Solid State Drives.”
Structured Chain-of-Thought Prompting for Code Generation (2023, unknown): “Codex [7] is a powerful language model for code generation, which supports a commercial application - GitHub Copilot [9].”
TS2Vec: Towards Universal Representation of Time Series (2021, methodology): “L 1 distance is used to measure the anomaly score: To avoid drifting, following previous works (Ren et al. 2019), we take the local average of the preceding Z points We compare TS2Vec with other unsupervised meth-ods of univariate time series anomaly detection, including FFT (Rasheed et al. 2009), S”
Recruiting Participants With Programming Skills: A Comparison of Four Crowdsourcing Platforms and a CS Student Mailing List (2022, methodology): “Although, harvesting developers’ emails from GitHub has been used in prior research to recruit developers, we decided not to use this channel because it is against GitHub’s terms of services and privacy policy to collect users’ emails [20, 21].”
PettingZoo: Gym for Multi-Agent Reinforcement Learning (2020, unknown): “…reinforcement learning libraries or code bases exist (as a rough measure 669 pip-installable packages depend on it at the time of writing GitHub [2021]), only 5 MARL libraries with large user bases exist [Lanctot et al., 2019, Weng et al., 2020, Liang et al., 2018, Samvelyan et al., 2019, Nota,…”
Deep learning approaches for COVID-19 detection based on chest X-ray images (2020, methodology): “The chest X-ray images were collected from three different sources (GitHub, 2020; Kaggle, 2020b; Radiology Assistant, 2020), with the labelling of the chest X-ray images conducted by specialist doctors.”