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nlp:language_to_programs [2021/07/14 02:43] – [Systems] jmflanignlp:language_to_programs [2025/10/08 08:46] (current) – [Systems and Tools] jmflanig
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   * [[https://arxiv.org/pdf/1611.01867.pdf|Chen et al 2016 - Latent Attention For If-Then Program Synthesis]]   * [[https://arxiv.org/pdf/1611.01867.pdf|Chen et al 2016 - Latent Attention For If-Then Program Synthesis]]
   * [[https://arxiv.org/pdf/1704.01696.pdf|Yin & Neubig 2017 - A Syntactic Neural Model for General-Purpose Code Generation]]   * [[https://arxiv.org/pdf/1704.01696.pdf|Yin & Neubig 2017 - A Syntactic Neural Model for General-Purpose Code Generation]]
 +  * [[https://arxiv.org/pdf/2203.07814.pdf|Li et al 2022 - Competition-Level Code Generation with AlphaCode]] [[https://alphacode.deepmind.com/|website]] [[https://www.deepmind.com/blog/competitive-programming-with-alphacode|blog post]] Treats competitive coding as seq2seq from problem description to code solution.
  
 +==== Code Generation ====
 +  * AlphaCode: [[https://arxiv.org/pdf/2203.07814.pdf|Li et al 2022 - Competition-Level Code Generation with AlphaCode]]
  
 ==== Image to Latex==== ==== Image to Latex====
- 
  
 ==== Language to SQL ==== ==== Language to SQL ====
  
-===== Systems ===== +==== Language to App ==== 
-  * [[https://copilot.github.com/|Github Copilot]] "With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor."+  * **Overviews** 
 +    * [[https://arxiv.org/pdf/2410.01026|2024 - Understanding the Human-LLM Dynamic: A Literature Survey of LLM Use in Programming Tasks]] 
 +  * **People** 
 +    * [[https://scholar.google.com/citations?user=OJBv75IAAAAJ&hl=en|Kristian Kolthoff]] 
 +  * [[https://ranjithakumar.net/resources/rico.pdf|Deka et al 2017 - Rico: A Mobile App Dataset for Building Data-Driven Design Applications]] 
 +  * [[https://arxiv.org/pdf/2104.08301|Hasan et al 2021 - Text2App: A Framework for Creating Android Apps from Text Descriptions]] 
 +  * [[https://arxiv.org/pdf/2405.00229|Patton et al 2024 - Aptly: Making Mobile Apps from Natural Language]] 
 +  * [[https://arxiv.org/pdf/2406.08120|Kolthoff et al 2024 - Interlinking User Stories and GUI Prototyping: A Semi-Automatic LLM-based Approach]] 
 +  * [[https://arxiv.org/pdf/2412.11328|Kolthoff et al 2024 - Zero-Shot Prompting Approaches for LLM-based Graphical User Interface Generation]] 
 + 
 +==== Autotomated Program Verification and NLP ==== 
 +  * [[https://arxiv.org/abs/2310.04870|Wu et al 2023 - Lemur: Integrating Large Language Models in Automated Program Verification]] 
 + 
 +===== Systems and Tools ===== 
 +  * [[https://copilot.github.com/|Github Copilot]] Powered by OpenAI's [[https://gpt3demo.com/apps/openai-codex|Codex]]. "With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor." 
 +  * [[https://cursor.com/|Cursor]] 
 +  * [[https://zencoder.ai/|Zencoder]] Apparently pretty good according to [[https://www.reddit.com/r/OpenAI/comments/1m54yjx/all_ai_coding_agents_you_know/|this]] 
 +  * Lists of coding assistants and tools 
 +    * [[https://www.reddit.com/r/OpenAI/comments/1m54yjx/all_ai_coding_agents_you_know/|All AI Coding Agents You Know]] 
 +    * [[https://www.qodo.ai/blog/best-ai-coding-assistant-tools/|Best AI Coding Assistant Tools]] 
 +  * [[https://alphacode.deepmind.com/|AlphaCode]]: [[https://arxiv.org/pdf/2203.07814.pdf|paper]] [[https://www.deepmind.com/blog/competitive-programming-with-alphacode|blog post]]
  
  
 ===== Related Pages ===== ===== Related Pages =====
 +  * [[ml:Program Induction]]
   * [[Semantic Parsing]]   * [[Semantic Parsing]]
 +  * [[Semantic_representations#Programs as Semantic Representations]]
  
nlp/language_to_programs.1626230608.txt.gz · Last modified: 2023/06/15 07:36 (external edit)

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