Reducing Environmental Costs whilst Maintaining Operational Effectiveness in Large Language Models through Chain Routing

Solomon Wheeler, Melissa Torgbi, Harish Tayyar Madabushi


Anthology ID:
2025.konvens-2.20
Volume:
Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Workshops
Month:
September
Year:
2025
Address:
Hannover, Germany
Editors:
Christian Wartena, Ulrich Heid
Venue:
KONVENS
SIG:
Publisher:
HsH Applied Academics
Note:
Pages:
250–273
Language:
URL:
https://preview.aclanthology.org/corrections-2025-09/2025.konvens-2.20/
DOI:
Bibkey:
Cite (ACL):
Solomon Wheeler, Melissa Torgbi, and Harish Tayyar Madabushi. 2025. Reducing Environmental Costs whilst Maintaining Operational Effectiveness in Large Language Models through Chain Routing. In Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Workshops, pages 250–273, Hannover, Germany. HsH Applied Academics.
Cite (Informal):
Reducing Environmental Costs whilst Maintaining Operational Effectiveness in Large Language Models through Chain Routing (Wheeler et al., KONVENS 2025)
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PDF:
https://preview.aclanthology.org/corrections-2025-09/2025.konvens-2.20.pdf