Publication2026
GREEN-LM: Carbon-aware neural language models with energy-adaptive layers and sparse knowledge distillation
The record
- Type
- Publication
- Date
- 1 December 2026
- Level
- National
- Journal
- Results in Engineering
- Volume
- 32
- Published
- 1 December 2026
- DOI
- 10.1016/j.rineng.2026.112223
- Scopus ID
- 105046475464
- ISSN
- 25901230
- Authors
- 6
- Open access
- Yes
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
7 Ensure access to affordable, reliable, sustainable and modern energy for all
Carbon-aware language model optimization reduces energy consumption through sparse knowledge distillation and early-exit transformers achieving 3.49x faster inference.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Advanced AI model compression and optimization methodology contributes to efficient computing research.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.5 Green economy, energy transition and climate resilience
Green AI research reduces computational energy demand supporting climate resilience and sustainable technology.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “GREEN-LM: Carbon-aware neural language models with energy-adaptive layers and sparse knowledge distillation”. Kortex.