diff --git a/data/prompt_engineering_reviewed.csv b/data/prompt_engineering_reviewed.csv index 8b070da..a365a81 100644 --- a/data/prompt_engineering_reviewed.csv +++ b/data/prompt_engineering_reviewed.csv @@ -1,17 +1,21 @@ -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 -"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 -"Prompt Learning for Action Recognition", http://arxiv.org/abs/2305.12437v1, New Technique; Agents; Analysis of technique; Applying prompts/prompt engineering; Other modality than text -"Effective Structured Prompting by Meta-Learning and Representative Verbalizer",http://arxiv.org/abs/2306.00618v1, New Technique; Analysis of technique -"Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting",http://arxiv.org/abs/2307.10573v2, Analysis of technique -"High-Fidelity Lake Extraction via Two-Stage Prompt Enhancement: Establishing a Novel Baseline and Benchmark",http://arxiv.org/abs/2308.08443v1, Analysis of technique; Other modality than text; Applying prompts/prompt engineering -Structured Prompt Tuning,http://arxiv.org/abs/2205.12309v1, New Technique - +Title, Link, Labels +"The Creativity of Text-to-Image Generation", http://dx.doi.org/10.1145/3569219.3569352, Applying prompts/prompt engineering +"Beyond Traditional Teaching: The Potential of Large Language Models and Chatbots in Graduate Engineering Education", http://dx.doi.org/10.32388/MD04B0, Analysis of model;Applying prompts/prompt engineering;Agents;Ethics/Consequences +"Collective Creativity in Crowd Ideation", http://dx.doi.org/10.1145/3411764.3445782, Survey;Analysis of technique;Applying prompts/prompt engineering;Agents +"Massive prompt cusps: A new signature of warm dark matter", http://dx.doi.org/10.1093/mnrasl/slad043, Analysis of technique;Analysis of model +"Scientific Literature Text Mining and the Case for Open Access", http://dx.doi.org/10.21428/14888, New model + "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 +"Prompt Learning for Action Recognition", http://arxiv.org/abs/2305.12437v1, New Technique; Agents; Analysis of technique; Applying prompts/prompt engineering; Other modality than text +"Effective Structured Prompting by Meta-Learning and Representative Verbalizer",http://arxiv.org/abs/2306.00618v1, New Technique; Analysis of technique +"Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting",http://arxiv.org/abs/2307.10573v2, Analysis of technique +"High-Fidelity Lake Extraction via Two-Stage Prompt Enhancement: Establishing a Novel Baseline and Benchmark",http://arxiv.org/abs/2308.08443v1, Analysis of technique; Other modality than text; Applying prompts/prompt engineering +Structured Prompt Tuning,http://arxiv.org/abs/2205.12309v1, New Technique \ No newline at end of file