From dc990e7cf34e93305822ea1957a8b14c611a5ca2 Mon Sep 17 00:00:00 2001 From: Arvind Satyanarayan Date: Sat, 29 Jun 2024 11:43:53 -0400 Subject: [PATCH] Add SFP PLATEAU paper --- _pubs/semi-formal-design-space.md | 19 +++++++++++++++++++ pubs/semi-formal-design-space.pdf | Bin 0 -> 2411174 bytes 2 files changed, 19 insertions(+) create mode 100644 _pubs/semi-formal-design-space.md create mode 100644 pubs/semi-formal-design-space.pdf diff --git a/_pubs/semi-formal-design-space.md b/_pubs/semi-formal-design-space.md new file mode 100644 index 0000000..de2f352 --- /dev/null +++ b/_pubs/semi-formal-design-space.md @@ -0,0 +1,19 @@ +--- +stub: true +title: Designing for Semi-formal Programming with Foundation Models +authors: + - key: jopo + - name: Ian Arawjo + affiliation: Université de Montréal + - name: Caroline Berger + affiliation: Aarhaus University + - key: arvindsatya +type: workshop +venue: plateau +year: 2024 +date: 2024-02-19 +tags: + - language + - malleable interfaces +--- +End-user programmers, such as scientists and data analysts, communicate their intent through culturally specific, semi-formal representations like formulas and wireframes. Research on end-user programming inter- faces has sought to democratize programming but has required advances in program synthesis, UI design, and computer vision to support translating a representation to code. As a result, end-users must still fre- quently translate such representations manually. Foundation models like ChatGPT and GPT-4V dramatically lower the cost of designing new programming interfaces by offering much better code synthesis, UI genera- tion, and visual comprehension tools. These advances enable new end-user workflows with more ubiquitous semi-formal representations. We outline the translation work programmers typically perform when translating representations into code, how foundation models help address this problem, and emerging challenges of using foundation models for programming. We posit semi-formal and notational programming as paradigmatic solu- tions to integrating foundation models into programming practice. Articulating a design space of semi-formal representations, we ask how we could design new semi-formal programming environments enabled through foundation models that address their emergent challenges, and sketch “proactive disambiguation” as one solution to bridging gulfs of evaluation and execution. diff --git a/pubs/semi-formal-design-space.pdf b/pubs/semi-formal-design-space.pdf new file mode 100644 index 0000000000000000000000000000000000000000..b137c3f238e77f35813b9b6cd13b561e1f868a33 GIT binary patch literal 2411174 zcmeFYV{~O*x;9*?RBTtgE4FRhws&mXs@S$|I~6AtS8UrA>rHj{`QGkxo-t1UdcQxt z$Jl#~i8XQE_nP}!H;CngM5yU$n4yWg@AKZEnHd0d02>2yXf7@Qt(2KHP~YCn9cTog z|0n?%nCR*0S(yN|VgOA50~-rHfRTv~pbemv1u(M!XoUgHtgMU-09qLUJsp5n=}&(; zW_CsZ4-YiZ+UU=yfd5w?XlBNL+K7^yEf7GfrT{el*apzr#L*N$&&UR#6*04P1loUG zE%hCNLO??sqmOQXzsl*`TR8y!pde^t>11W?0QlIqoITLU%+S%s9zf6Vu`2+r>IV?? z0EUn62MXfWMnKn(iVqAKKLGe!jj;`Yjrn6G3IJLK8yiOeGt=J-iXW%~7+F5R`WVys zA4oC%H*{#lg#emd2JHI!Y-}G`GBGhSumb5==#A(YnCbKl8QEBjjEs$WxLEbs*o_TX 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