Zobrazeno 1 - 10
of 19 160
pro vyhledávání: '"A. Drosos"'
Autor:
WAHBA, PHIL
Publikováno v:
Fortune. Feb/Mar2023, Vol. 187 Issue 1, p10-13. 4p. 1 Color Photograph, 1 Graph.
Autor:
Masson, Michel
Publikováno v:
La Linguistique, 2017 Jan 01. 53(1), 3-18.
Externí odkaz:
https://www.jstor.org/stable/44986040
Publikováno v:
Proceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work (CHIWORK 2024)
Generative AI tools can help users with many tasks. One such task is data analysis, which is notoriously challenging for non-expert end-users due to its expertise requirements, and where AI holds much potential, such as finding relevant data sources,
Externí odkaz:
http://arxiv.org/abs/2407.02903
Autor:
Murugadoss, Bhuvanashree, Poelitz, Christian, Drosos, Ian, Le, Vu, McKenna, Nick, Negreanu, Carina Suzana, Parnin, Chris, Sarkar, Advait
LLMs-as-a-judge is a recently popularized method which replaces human judgements in task evaluation (Zheng et al. 2024) with automatic evaluation using LLMs. Due to widespread use of RLHF (Reinforcement Learning from Human Feedback), state-of-the-art
Externí odkaz:
http://arxiv.org/abs/2408.08781
Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition
Autor:
Kazemitabaar, Majeed, Williams, Jack, Drosos, Ian, Grossman, Tovi, Henley, Austin, Negreanu, Carina, Sarkar, Advait
Publikováno v:
Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology (UIST 2024)
LLM-powered tools like ChatGPT Data Analysis, have the potential to help users tackle the challenging task of data analysis programming, which requires expertise in data processing, programming, and statistics. However, our formative study (n=15) unc
Externí odkaz:
http://arxiv.org/abs/2407.02651
Video tutorials are a popular medium for informal and formal learning. However, when learners attempt to view and follow along with these tutorials, they encounter what we call gaps, that is, issues that can prevent learning. We examine the gaps enco
Externí odkaz:
http://arxiv.org/abs/2404.07114
Autor:
Sarkar, Advait, Drosos, Ian, Deline, Rob, Gordon, Andrew D., Negreanu, Carina, Rintel, Sean, Williams, Jack, Zorn, Benjamin
Publikováno v:
Proceedings of the 34th Annual Conference of the Psychology of Programming Interest Group (PPIG 2023)
Generative AI, such as image generation models and large language models, stands to provide tremendous value to end-user programmers in creative and knowledge workflows. Current research methods struggle to engage end-users in a realistic conversatio
Externí odkaz:
http://arxiv.org/abs/2312.16633
Autor:
Gordon, Andrew D., Negreanu, Carina, Cambronero, José, Chakravarthy, Rasika, Drosos, Ian, Fang, Hao, Mitra, Bhaskar, Richardson, Hannah, Sarkar, Advait, Simmons, Stephanie, Williams, Jack, Zorn, Ben
Users are increasingly being warned to check AI-generated content for correctness. Still, as LLMs (and other generative models) generate more complex output, such as summaries, tables, or code, it becomes harder for the user to audit or evaluate the
Externí odkaz:
http://arxiv.org/abs/2310.01297