LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Faiz, Ahmad, Kaneda, Sotaro, Wang, Ruhan, Osi, Rita, Sharma, Prateek, Chen, Fan, Jiang, Lei |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CarbonScaling: Extending Neural Scaling Laws for Carbon Footprint in Large Language Models
by: Jiang, Lei, et al.
Published: (2025)
by: Jiang, Lei, et al.
Published: (2025)
LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences
by: Fu, Zhenxiao, et al.
Published: (2024)
by: Fu, Zhenxiao, et al.
Published: (2024)
Empirical evidence of Large Language Model's influence on human spoken communication
by: Yakura, Hiromu, et al.
Published: (2024)
by: Yakura, Hiromu, et al.
Published: (2024)
UrbanGPT: Spatio-Temporal Large Language Models
by: Li, Zhonghang, et al.
Published: (2024)
by: Li, Zhonghang, et al.
Published: (2024)
Large Language Models for Medicine: A Survey
by: Zheng, Yanxin, et al.
Published: (2024)
by: Zheng, Yanxin, et al.
Published: (2024)
On the Creativity of Large Language Models
by: Franceschelli, Giorgio, et al.
Published: (2023)
by: Franceschelli, Giorgio, et al.
Published: (2023)
"Pull or Not to Pull?'': Investigating Moral Biases in Leading Large Language Models Across Ethical Dilemmas
by: Ding, Junchen, et al.
Published: (2025)
by: Ding, Junchen, et al.
Published: (2025)
PersLLM: A Personified Training Approach for Large Language Models
by: Zeng, Zheni, et al.
Published: (2024)
by: Zeng, Zheni, et al.
Published: (2024)
The Carbon Cost of Conversation, Sustainability in the Age of Language Models
by: Amiri, Sayed Mahbub Hasan, et al.
Published: (2025)
by: Amiri, Sayed Mahbub Hasan, et al.
Published: (2025)
Cross-Language Bias Examination in Large Language Models
by: Liang, Yuxuan, et al.
Published: (2025)
by: Liang, Yuxuan, et al.
Published: (2025)
Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models
by: Zhang, Bang, et al.
Published: (2025)
by: Zhang, Bang, et al.
Published: (2025)
Policy Frameworks for Transparent Chain-of-Thought Reasoning in Large Language Models
by: Chen, Yihang, et al.
Published: (2025)
by: Chen, Yihang, et al.
Published: (2025)
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
by: Jiang, Han, et al.
Published: (2024)
by: Jiang, Han, et al.
Published: (2024)
Large Language Models Enable Design of Personalized Nudges across Cultures
by: Maksimenko, Vladimir, et al.
Published: (2025)
by: Maksimenko, Vladimir, et al.
Published: (2025)
The global landscape of academic guidelines for generative AI and Large Language Models
by: Jiao, Junfeng, et al.
Published: (2024)
by: Jiao, Junfeng, et al.
Published: (2024)
Evaluating Large Language Models for Detecting Antisemitism
by: Patel, Jay, et al.
Published: (2025)
by: Patel, Jay, et al.
Published: (2025)
Anticipating Innovation Using Large Language Models
by: Fenoaltea, Enrico Maria, et al.
Published: (2026)
by: Fenoaltea, Enrico Maria, et al.
Published: (2026)
Open-Ended Wargames with Large Language Models
by: Hogan, Daniel P., et al.
Published: (2024)
by: Hogan, Daniel P., et al.
Published: (2024)
Large Language Models for Education: A Survey
by: Xu, Hanyi, et al.
Published: (2024)
by: Xu, Hanyi, et al.
Published: (2024)
How Large Language Models are Designed to Hallucinate
by: Ackermann, Richard, et al.
Published: (2025)
by: Ackermann, Richard, et al.
Published: (2025)
Large Language Models as Misleading Assistants in Conversation
by: Hou, Betty Li, et al.
Published: (2024)
by: Hou, Betty Li, et al.
Published: (2024)
Evaluating Psychological Safety of Large Language Models
by: Li, Xingxuan, et al.
Published: (2022)
by: Li, Xingxuan, et al.
Published: (2022)
Are Large Language Models Good Essay Graders?
by: Kundu, Anindita, et al.
Published: (2024)
by: Kundu, Anindita, et al.
Published: (2024)
From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practice
by: Niu, Qian, et al.
Published: (2024)
by: Niu, Qian, et al.
Published: (2024)
Assessing the Pedagogical Readiness of Large Language Models as AI Tutors in Low-Resource Contexts: A Case Study of Nepal's K-10 Curriculum
by: Acharya, Pratyush, et al.
Published: (2026)
by: Acharya, Pratyush, et al.
Published: (2026)
Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models
by: Dahl, Matthew, et al.
Published: (2024)
by: Dahl, Matthew, et al.
Published: (2024)
War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars
by: Hua, Wenyue, et al.
Published: (2023)
by: Hua, Wenyue, et al.
Published: (2023)
A Systematic Analysis of Biases in Large Language Models
by: Zhang, Xulang, et al.
Published: (2025)
by: Zhang, Xulang, et al.
Published: (2025)
Large Language Models as symbolic DNA of cultural dynamics
by: Pourdavood, Parham, et al.
Published: (2025)
by: Pourdavood, Parham, et al.
Published: (2025)
Large Language Models (LLMs) as Agents for Augmented Democracy
by: Gudiño-Rosero, Jairo, et al.
Published: (2024)
by: Gudiño-Rosero, Jairo, et al.
Published: (2024)
Regulating Large Language Models: A Roundtable Report
by: Nicholas, Gabriel, et al.
Published: (2024)
by: Nicholas, Gabriel, et al.
Published: (2024)
The Human Condition as Reflected in Contemporary Large Language Models
by: Neuman, W. Russell
Published: (2026)
by: Neuman, W. Russell
Published: (2026)
Dual Traits in Probabilistic Reasoning of Large Language Models
by: Li, Shenxiong, et al.
Published: (2024)
by: Li, Shenxiong, et al.
Published: (2024)
Semantic Consistency for Assuring Reliability of Large Language Models
by: Raj, Harsh, et al.
Published: (2023)
by: Raj, Harsh, et al.
Published: (2023)
On the Reliability of Large Language Models to Misinformed and Demographically-Informed Prompts
by: Aremu, Toluwani, et al.
Published: (2024)
by: Aremu, Toluwani, et al.
Published: (2024)
Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering
by: Liu, Jiaxiang, et al.
Published: (2024)
by: Liu, Jiaxiang, et al.
Published: (2024)
Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
IoTCO2: Assessing the End-To-End Carbon Footprint of Internet-of-Things-Enabled Deep Learning
by: Chen, Fan, et al.
Published: (2024)
by: Chen, Fan, et al.
Published: (2024)
CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy
by: Zhang, Mian, et al.
Published: (2024)
by: Zhang, Mian, et al.
Published: (2024)
Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation
by: Pang, Xianghe, et al.
Published: (2024)
by: Pang, Xianghe, et al.
Published: (2024)
Similar Items
-
CarbonScaling: Extending Neural Scaling Laws for Carbon Footprint in Large Language Models
by: Jiang, Lei, et al.
Published: (2025) -
LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences
by: Fu, Zhenxiao, et al.
Published: (2024) -
Empirical evidence of Large Language Model's influence on human spoken communication
by: Yakura, Hiromu, et al.
Published: (2024) -
UrbanGPT: Spatio-Temporal Large Language Models
by: Li, Zhonghang, et al.
Published: (2024) -
Large Language Models for Medicine: A Survey
by: Zheng, Yanxin, et al.
Published: (2024)