RESCAST-100K is a large-scale benchmark dataset of simulated and real residential energy data for cross-domain load and temperature forecasting.
JSONSchemaBench: A Rigorous Benchmark of Structured Outputs for Language Models,
4 Pith papers cite this work, alongside 8 external citations. Polarity classification is still indexing.
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GreenCache dynamically manages LLM KV cache resources to reduce carbon emissions by 15.1% on average (up to 25.3%) while meeting latency constraints for over 90% of requests on real traces.
An LLM fine-tuned via SFT and GRPO with physics-informed rewards generates physically valid, customizable synthetic power distribution feeder models from text prompts.
Introduces decision-alignment to evaluate uncertainty metrics against downstream decision utilities and proposes prior-weighted proper scoring rules that align better in benchmarks and case studies.
citing papers explorer
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RESCAST-100K: A Comprehensive Dataset for Cross-Domain Residential Load and Indoor Temperature Forecasting
RESCAST-100K is a large-scale benchmark dataset of simulated and real residential energy data for cross-domain load and temperature forecasting.
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Cache Your Prompt When It's Green: Carbon-Aware Caching for Large Language Model Serving
GreenCache dynamically manages LLM KV cache resources to reduce carbon emissions by 15.1% on average (up to 25.3%) while meeting latency constraints for over 90% of requests on real traces.
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A Physics-guided Fine-tuned LLM-based Framework for Customized Power Distribution System Feeder Generation
An LLM fine-tuned via SFT and GRPO with physics-informed rewards generates physically valid, customizable synthetic power distribution feeder models from text prompts.
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Decision-Aligned Evaluation of Uncertainty Quantification
Introduces decision-alignment to evaluate uncertainty metrics against downstream decision utilities and proposes prior-weighted proper scoring rules that align better in benchmarks and case studies.