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Found 5 papers, 1 papers with code
Variable Extraction for Model Recovery in Scientific Literature
We introduce a benchmark dataset comprising manually-annotated variable descriptions and variable values extracted from scientific papers.
Don't Stop Me Now: Embedding Based Scheduling for LLMs
Using these predictions, we propose a prediction-based SRPT variant with limited preemption designed to account for memory overhead in LLM systems.
MDCR: A Dataset for Multi-Document Conditional Reasoning
For instance, whether a student is eligible for a scholarship depends on eligibility conditions, such as major or degree required.
A Declarative System for Optimizing AI Workloads
We describe the workload of AI-powered analytics tasks, the optimization methods that Palimpzest uses, and the prototype system itself.
SEED: Domain-Specific Data Curation With Large Language Models
As a result, data scientists often have to develop domain-specific solutions tailored to both the dataset and the task, e. g. writing domain-specific code or training machine learning models on a sufficient number of annotated examples.
