- Anthology ID:
- 2025.inlg-genchal.4
- Volume:
- Proceedings of the 18th International Natural Language Generation Conference: Generation Challenges
- Month:
- October
- Year:
- 2025
- Address:
- Hanoi, Vietnam
- Editor:
- Simon Mille
- Venue:
- INLG
- SIG:
- SIGGEN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 48–50
- Language:
- URL:
- https://preview.aclanthology.org/info-author-pages/2025.inlg-genchal.4/
- DOI:
- Cite (ACL):
- Mayank Jobanputra and Vera Demberg. 2025. Team SaarLST at the GEM’24 D2T Task: Symbolic retrieval substantially reduces hallucination in data-to-text generation. In Proceedings of the 18th International Natural Language Generation Conference: Generation Challenges, pages 48–50, Hanoi, Vietnam. Association for Computational Linguistics.
- Cite (Informal):
- Team SaarLST at the GEM’24 D2T Task: Symbolic retrieval substantially reduces hallucination in data-to-text generation (Jobanputra & Demberg, INLG 2025)
- PDF:
- https://preview.aclanthology.org/info-author-pages/2025.inlg-genchal.4.pdf