Merge branch 'main' into konstantine-labeling01

data/prompt_engineering_reviewed.csv

@@ -1,6 +1,12 @@
 Title, Link, Labels
- "Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems", "https://arxiv.org/pdf/2209.05948v2.pdf", Analysis of Technique;New Model;Applying Prompts/prompt Engineering
- "Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review", "https://arxiv.org/abs/2310.08129v1", Survey;Analysis of Technique;Applying Prompts/prompt Engineering;Agents
- "LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models", "https://arxiv.org/pdf/2309.01155v2.pdf", Survey;Analysis of Technique;Applying Promtps/Prompt Engineering
- "Prompt Engineering For Students of Medicine and Their Teachers", "https://arxiv.org/pdf/2308.11628v1.pdf", Survey;Analysis of Technique;Applying prompts/prompt engineering
- "A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models", "https://arxiv.org/pdf/2307.12980v1.pdf", Survey;Other modality than text;Applying Prompts/prompt Engineering
+ "Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems", https://arxiv.org/pdf/2209.05948v2.pdf, Analysis of Technique;New Model;Applying Prompts/prompt Engineering
+ "Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review", https://arxiv.org/abs/2310.08129v1, Survey;Analysis of Technique;Applying Prompts/prompt Engineering;Agents
+ "LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models", https://arxiv.org/pdf/2309.01155v2.pdf, Survey;Analysis of Technique;Applying Promtps/Prompt Engineering
+ "Prompt Engineering For Students of Medicine and Their Teachers", https://arxiv.org/pdf/2308.11628v1.pdf, Survey;Analysis of Technique;Applying prompts/prompt engineering
+ "A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models", https://arxiv.org/pdf/2307.12980v1.pdf, Survey;Other modality than text;Applying Prompts/prompt Engineering
+"Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models", https://arxiv.org/abs/2106.13353v2, New Technique;Analysis of     Technique;Applying Prompts/Prompt Engineering
+"Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting", https://arxiv.org/abs/2310.08129v1, New Technique;Analysis of Technique;Other Modality than Text;Applying Prompts/Prompt Engineering
+"Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification", https://arxiv.org/abs/2303.07142v3, Applying Promtps/Prompt Engineering;Analysis of Model
+"Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models", https://arxiv.org/abs/2310.15127v1, New model;New Technique;Agents
+"Addressing Compiler Errors: Stack Overflow or Large Language Models?", https://arxiv.org/abs/2307.10793v1, Analysis of model;Applying Prompts/Prompt Engineering
+