| prompt_id |
version |
author |
created_at |
detected_topics |
execution_model |
| c0642d14 |
1 |
promptadmin |
2026-07-21T14:04:56.563179+00:00 |
| constraints |
| contribution |
| engineering |
| generation |
| limitations |
| literature |
| optimization |
| specialty |
|
openai/gpt-oss-120b |
Generate a complete research paper (max 5 pages) on "Augmented Prompt Engineering with Retrieval
‑Augmented Generation (RAG)" targeting top
‑tier venues (ICML, NeurIPS, ICLR).
≤5 pages, double
‑column, 10pt font
Only papers from ICML, NeurIPS, ICLR, CVPR, ACL published 2022
‑present. Use live internet search; do not fabricate references.
Hybrid human
‑computer prompt generation, limitations of purely human
‑written prompts, model
‑specific optimization, and the need for a prompt database.
[Motivation, problem statement, contributions]
[Summarize ≥5 top‑tier papers (2022‑2024) on RAG, prompt engineering, hybrid approaches]
[Describe augmented prompt design, retrieval pipeline, hybrid generation, model‑specific tuning]
[Design a factual‑check experiment comparing human, automated, and hybrid prompts; report metrics]
[Limitations, future work, need for a prompt repository]
Generate a BibTeX list matching the citations above.
Before writing, perform an internet search for the latest RAG and prompt
‑engineering papers (2022
‑2024). Summarize each found paper in one sentence and include its citation key.