NEWSLETTER
Constructing a Paired Knowledge Graph: Text Datasets Informed by Cyclic Evaluation
Datasets that combine knowledge graphs (KG) and text (KG-T) can be used to train forward and inverse neural models that ...
Tag: evaluation
Evaluation of new teachers: best practices
New teachers have varied experiences as they navigate their first years of full-time teaching. Some may have completed traditional teacher ...
CASE once again supports the Classworks® special education platform
The Council of Administrators of Special Education (CASE) has re-endorsed Classworks® for three additional years. The CASE Executive Committee designated ...
This AI article proposes LongAlign: an instruction, training, and evaluation data recipe for long context alignment
The study differs from previous approaches by focusing on aligning long context, specifically adjusting language models to interpret long user ...
This China AI paper introduces 'AGENTBOARD': an open source evaluation framework tailored to the analytical evaluation of multi-shift LLM agents
Evaluating LLMs as versatile agents is crucial for their integration into practical applications. However, existing evaluation frameworks face challenges in ...
Revealing the frontiers of scientific discovery with GPT-4: A comprehensive cross-discipline evaluation for large language models
Large Language Models (LLM) have recently gained a lot of recognition from the artificial intelligence (ai) community. These models have ...
University of Michigan researchers chart new territory in AI theory of mind: reveal rigorous taxonomy and protocols for evaluation
A team of researchers at the University of Michigan advocates for the development of new benchmarks and assessment protocols to ...
Improving Engineering Design Evaluation Using Comprehensive Metrics for Deep Generative Models
In engineering design, reliance on deep generative models (DGMs) has increased in recent years. However, evaluation of these models has ...
Google DeepMind proposes an artificial intelligence framework for the evaluation of social and ethical risks of AI
Generative ai systems, which create content in different formats, are increasingly widespread. These systems are used in various fields, including ...
Can language models replace programmers? Researchers from Princeton and the University of Chicago present SWE-bench: an evaluation framework that tests machine learning models to solve real GitHub problems
Assessing the competency of language models in addressing real-world software engineering challenges is essential to their progress. Enter SWE-bench, an ...
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