InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task Planning.
Zheng Wang|Shu Xian Teo|Jun Jie Chew|Wei Shi
| Anthology ID: | DBLP:conf/sigir/WangTCS25 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 1413-1422 |
| URL: | https://doi.org/10.1145/3726302.3730009 |
| DOI: | https://doi.org/10.1145/3726302.3730009 |
| DBLP: | conf/sigir/WangTCS25 |
| BibTeX: |
@inproceedings{wang-2025-instructrag,
author = {Zheng Wang and
Shu Xian Teo and
Jun Jie Chew and
Wei Shi},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task Planning}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {1413--1422},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730009},
doi = {https://doi.org/10.1145/3726302.3730009}
}