Efficient LLM Adaptation for Opinion Knowledge Graph Construction: Lessons from the Telecom Industry.

James Allan|Nai-Chi Yang|Yu-Ming Hsieh|Wei-Yun Ma|Kuo-Wei Chang


Anthology ID:DBLP:conf/sigir/YangHMC26
Volume:Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026
Year:2026
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:5026-5031
URL:https://doi.org/10.1145/3805712.3808450
DOI:https://doi.org/10.1145/3805712.3808450
DBLP:conf/sigir/YangHMC26
BibTeX:
@inproceedings{allan-2026-efficient, author = {James Allan and Nai-Chi Yang and Yu-Ming Hsieh and Wei-Yun Ma and Kuo-Wei Chang}, editor = {Hannah Bast and Alistair Moffat and Falk Scholer and Marc Najork and Min Zhang and Hannah Bast and Marc Najork and Min Zhang}, title = {{Efficient LLM Adaptation for Opinion Knowledge Graph Construction: Lessons from the Telecom Industry}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {5026--5031}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3808450}, doi = {https://doi.org/10.1145/3805712.3808450} }