AI-CARE: Carbon-Aware Reporting Evaluation Metric for AI Models
Fuente:
arXiv
Saved in:
| Main Authors: | Santosh, KC, Baride, Srikanth, Rizk, Rodrigue |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Toward Carbon-Neutral Human AI: Rethinking Data, Computation, and Learning Paradigms for Sustainable Intelligence
by: Santosh, KC, et al.
Published: (2025)
by: Santosh, KC, et al.
Published: (2025)
Winsor-CAM: Human-Tunable Visual Explanations from Deep Networks via Layer-Wise Winsorization
by: Wall, Casey, et al.
Published: (2025)
by: Wall, Casey, et al.
Published: (2025)
LakotaBERT: A Transformer-based Model for Low Resource Lakota Language
by: Parankusham, Kanishka, et al.
Published: (2025)
by: Parankusham, Kanishka, et al.
Published: (2025)
Ecologically Valid Benchmarking and Adaptive Attention: Scalable Marine Bioacoustic Monitoring
by: Rasmussen, Nicholas R., et al.
Published: (2025)
by: Rasmussen, Nicholas R., et al.
Published: (2025)
CARE: Confounder-Aware Aggregation for Reliable LLM Evaluation
by: Zhao, Jitian, et al.
Published: (2026)
by: Zhao, Jitian, et al.
Published: (2026)
I Detect What I Don't Know: Incremental Anomaly Learning with Stochastic Weight Averaging-Gaussian for Oracle-Free Medical Imaging
by: Yadav, Nand Kumar, et al.
Published: (2025)
by: Yadav, Nand Kumar, et al.
Published: (2025)
Channel Selected Stratified Nested Cross Validation for Clinically Relevant EEG Based Parkinsons Disease Detection
by: Rasmussen, Nicholas R., et al.
Published: (2025)
by: Rasmussen, Nicholas R., et al.
Published: (2025)
STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems
by: Bonagiri, Akash, et al.
Published: (2026)
by: Bonagiri, Akash, et al.
Published: (2026)
AIDE: AI-Driven Exploration in the Space of Code
by: Jiang, Zhengyao, et al.
Published: (2025)
by: Jiang, Zhengyao, et al.
Published: (2025)
Games for AI Control: Models of Safety Evaluations of AI Deployment Protocols
by: Griffin, Charlie, et al.
Published: (2024)
by: Griffin, Charlie, et al.
Published: (2024)
The M-factor: A Novel Metric for Evaluating Neural Architecture Search in Resource-Constrained Environments
by: Thudumu, Srikanth, et al.
Published: (2025)
by: Thudumu, Srikanth, et al.
Published: (2025)
Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness
by: Wang, Longwei, et al.
Published: (2025)
by: Wang, Longwei, et al.
Published: (2025)
General Information Metrics for Improving AI Model Training Efficiency
by: Xu, Jianfeng, et al.
Published: (2025)
by: Xu, Jianfeng, et al.
Published: (2025)
FedCARE: Federated Unlearning with Conflict-Aware Projection and Relearning-Resistant Recovery
by: Li, Yue, et al.
Published: (2026)
by: Li, Yue, et al.
Published: (2026)
CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts
by: Zhang, Rui, et al.
Published: (2026)
by: Zhang, Rui, et al.
Published: (2026)
M-CARE: Standardized Clinical Case Reporting for AI Model Behavioral Disorders, with a 20-Case Atlas and Experimental Validation
by: Jeong, Jihoon
Published: (2026)
by: Jeong, Jihoon
Published: (2026)
Holistic Safety and Responsibility Evaluations of Advanced AI Models
by: Weidinger, Laura, et al.
Published: (2024)
by: Weidinger, Laura, et al.
Published: (2024)
CARE: Covariance-Aware and Rank-Enhanced Decomposition for Enabling Multi-Head Latent Attention
by: Zhou, Zhongzhu, et al.
Published: (2026)
by: Zhou, Zhongzhu, et al.
Published: (2026)
Bi-cephalic self-attended model to classify Parkinson's disease patients with freezing of gait
by: Mitin, Shomoita Jahid, et al.
Published: (2025)
by: Mitin, Shomoita Jahid, et al.
Published: (2025)
Correlation-Aware Feature Attribution Based Explainable AI
by: Sengupta, Poushali, et al.
Published: (2025)
by: Sengupta, Poushali, et al.
Published: (2025)
Learning Displacement-Robust Representations for Landslide Early Warning under Rainfall Forecast Uncertainty
by: Ozeki, Ren, et al.
Published: (2026)
by: Ozeki, Ren, et al.
Published: (2026)
The Achilles Heel of AI: Fundamentals of Risk-Aware Training Data for High-Consequence Models
by: Cook, Dave, et al.
Published: (2025)
by: Cook, Dave, et al.
Published: (2025)
Discrete State Diffusion Models: A Sample Complexity Perspective
by: Srikanth, Aadithya, et al.
Published: (2025)
by: Srikanth, Aadithya, et al.
Published: (2025)
Reinforcement Learning Based Escape Route Generation in Low Visibility Environments
by: Srikanth, Hari
Published: (2024)
by: Srikanth, Hari
Published: (2024)
AI Companies Should Report Pre- and Post-Mitigation Safety Evaluations
by: Bowen, Dillon, et al.
Published: (2025)
by: Bowen, Dillon, et al.
Published: (2025)
Toward an Evaluation Science for Generative AI Systems
by: Weidinger, Laura, et al.
Published: (2025)
by: Weidinger, Laura, et al.
Published: (2025)
BEExAI: Benchmark to Evaluate Explainable AI
by: Sithakoul, Samuel, et al.
Published: (2024)
by: Sithakoul, Samuel, et al.
Published: (2024)
Generative AI in Vision: A Survey on Models, Metrics and Applications
by: Raut, Gaurav, et al.
Published: (2024)
by: Raut, Gaurav, et al.
Published: (2024)
The Quest for Reliable Metrics of Responsible AI
by: Rampisela, Theresia Veronika, et al.
Published: (2025)
by: Rampisela, Theresia Veronika, et al.
Published: (2025)
Comparative Evaluation of Generative AI Models for Chest Radiograph Report Generation in the Emergency Department
by: Lim, Woo Hyeon, et al.
Published: (2025)
by: Lim, Woo Hyeon, et al.
Published: (2025)
Trajectory Guard -- A Lightweight, Sequence-Aware Model for Real-Time Anomaly Detection in Agentic AI
by: Advani, Laksh
Published: (2026)
by: Advani, Laksh
Published: (2026)
Scalable AI Inference: Performance Analysis and Optimization of AI Model Serving
by: Pham, Hung Cuong, et al.
Published: (2026)
by: Pham, Hung Cuong, et al.
Published: (2026)
Evaluating Supervised Machine Learning Models: Principles, Pitfalls, and Metric Selection
by: Liu, Xuanyan, et al.
Published: (2026)
by: Liu, Xuanyan, et al.
Published: (2026)
Competence-Aware AI Agents with Metacognition for Unknown Situations and Environments (MUSE)
by: Valiente, Rodolfo, et al.
Published: (2024)
by: Valiente, Rodolfo, et al.
Published: (2024)
Automating Forecasting Question Generation and Resolution for AI Evaluation
by: Bosse, Nikos I., et al.
Published: (2026)
by: Bosse, Nikos I., et al.
Published: (2026)
Paradigms of AI Evaluation: Mapping Goals, Methodologies and Culture
by: Burden, John, et al.
Published: (2025)
by: Burden, John, et al.
Published: (2025)
Clinically Grounded Agent-based Report Evaluation: An Interpretable Metric for Radiology Report Generation
by: Dua, Radhika, et al.
Published: (2025)
by: Dua, Radhika, et al.
Published: (2025)
International AI Safety Report
by: Bengio, Yoshua, et al.
Published: (2025)
by: Bengio, Yoshua, et al.
Published: (2025)
CARE: Turning LLMs Into Causal Reasoning Expert
by: Dong, Juncheng, et al.
Published: (2025)
by: Dong, Juncheng, et al.
Published: (2025)
Benchmarking and Evaluation of AI Models in Biology: Outcomes and Recommendations from the CZI Virtual Cells Workshop
by: Fahsbender, Elizabeth, et al.
Published: (2025)
by: Fahsbender, Elizabeth, et al.
Published: (2025)
Similar Items
-
Toward Carbon-Neutral Human AI: Rethinking Data, Computation, and Learning Paradigms for Sustainable Intelligence
by: Santosh, KC, et al.
Published: (2025) -
Winsor-CAM: Human-Tunable Visual Explanations from Deep Networks via Layer-Wise Winsorization
by: Wall, Casey, et al.
Published: (2025) -
LakotaBERT: A Transformer-based Model for Low Resource Lakota Language
by: Parankusham, Kanishka, et al.
Published: (2025) -
Ecologically Valid Benchmarking and Adaptive Attention: Scalable Marine Bioacoustic Monitoring
by: Rasmussen, Nicholas R., et al.
Published: (2025) -
CARE: Confounder-Aware Aggregation for Reliable LLM Evaluation
by: Zhao, Jitian, et al.
Published: (2026)