Standout Papers

Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models 2022 2026 2023 2024145
  1. Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models (2022)
    Priyan Vaithilingam, Tianyi Zhang et al. CHI Conference on Human Factors in Computing Systems Extended Abstracts

Immediate Impact

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Citing Papers

Software Testing With Large Language Models: Survey, Landscape, and Vision
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Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers
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2 intermediate papers

Works of Priyan Vaithilingam being referenced

Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models
2022 Standout

Author Peers

Author Last Decade Papers Cites
Priyan Vaithilingam 19 62 11 66 34 2 150
Arghavan Moradi Dakhel 23 89 8 50 43 6 158
Vahid Majdinasab 16 64 9 50 42 6 134
Lida Li 9 25 18 95 4 5 159
Lopamudra Praharaj 36 70 39 103 4 4 222
Vidya Rajaram 5 19 18 90 4 5 144
Kshitiz Aryal 44 72 39 115 4 4 236
Justin D. Weisz 12 46 41 74 2 4 160
Nargiz Humbatova 39 104 5 120 86 3 211
Nayan B. Ruparelia 37 95 4 47 18 5 169
Nelson F. Liu 13 25 3 94 11 2 153

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2026