ReqLens: An Interactive Evidence-Grounded Multi-Agent System for Document-to-Requirements Generation #
Abstract
Large language models can transform project documents into software requirements, but direct generation may introduce unsupported claims and hidden inconsistencies. We present ReqLens, an interactive multi-agent NLP system that extracts candidate requirements from mixed project documents, links them to source evidence, exposes graph-based dependencies and conflicts, and generates a Software Requirements Specification (SRS) through a human-in-the-loop workflow. We evaluate ReqLens on 13 projects using direct-generation and modular baselines, as well as component ablations. ReqLens achieves the strongest overall balance across unsupported-requirement rejection, valid-requirement retention, and seeded-defect filtering. A formative study with four domain experts provided qualitative feedback on the system’s interface and review workflow. ReqLens is accompanied by code, data, an installable package, and a narrated screencast.
- Anthology ID:
- 2026.aacl-demo.10
- Volume:
- Proceedings of the 15th International Joint Conference on Natural Language Processing and the 5th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: System Demonstrations
- Month:
- November
- Year:
- 2026
- Address:
- Hengqin, China
- Editors:
- [Ningyu Zhang](https://aclanthology.org/people/ningyu-zhang/) ,[Derry Wijaya](https://aclanthology.org/people/derry-tanti-wijaya/)
- Venues:
- [AACL](https://aclanthology.org/venues/aacl/) |[IJCNLP](https://aclanthology.org/venues/ijcnlp/)
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 74–81
- Language:
- URL:
- [https://aclanthology.org/2026.aacl-demo.10/](https://aclanthology.org/2026.aacl-demo.10/)
- DOI:
- Cite (ACL):
- Manojit Chakraborty, Pranav Laddhad, and Sagnik Ghosh. 2026. ReqLens: An Interactive Evidence-Grounded Multi-Agent System for Document-to-Requirements Generation . InProceedings of the 15th International Joint Conference on Natural Language Processing and the 5th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: System Demonstrations , pages 74–81, Hengqin, China. Association for Computational Linguistics.
- Cite (Informal):
- [ReqLens: An Interactive Evidence-Grounded Multi-Agent System for Document-to-Requirements Generation](https://aclanthology.org/2026.aacl-demo.10/) (Chakraborty et al., AACL-IJCNLP 2026)
- PDF:
- [https://aclanthology.org/2026.aacl-demo.10.pdf](https://aclanthology.org/2026.aacl-demo.10.pdf)