From 42f110a1ba0cc9a3210830f6ab7f151575c72cc2 Mon Sep 17 00:00:00 2001 From: AayushGupta16 Date: Mon, 30 Oct 2023 19:25:48 -0400 Subject: [PATCH] Analysis of 5 Papers --- data/prompt_engineering_reviewed.csv | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/data/prompt_engineering_reviewed.csv b/data/prompt_engineering_reviewed.csv index d602fe9..b0a1e42 100644 --- a/data/prompt_engineering_reviewed.csv +++ b/data/prompt_engineering_reviewed.csv @@ -4,3 +4,10 @@ Title, Link, Labels "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 + +