MORCELA: A new AI approach to link LM scores from linguistic models to human acceptability judgments
In natural language processing (NLP), a central question is how well the probabilities generated by language models (LMs) align with ...
Tag: human
This AI article explores whether human visual perception can help computer vision models outperform on generalized tasks.
Humans possess innately extraordinary perceptual judgments, and when computer vision models are aligned with them, model performance can be greatly ...
You'll soon be able to play the clumsy idiot in Human Fall Flat in VR
Why is it so satisfying to throw, drop, toss, and toss ragdolls down stairs, out of windows, and into oncoming ...
Generalizable error modeling for human data annotation: Evidence from an industrial-scale search data annotation program.
Machine learning (ML) and artificial intelligence (ai) systems rely heavily on human-annotated data for training and evaluation. A major challenge ...
ReliabilityBench: Measuring the unpredictable performance of large language models configured in five key domains of human cognition
The research evaluates the reliability of large language models (LLMs) such as GPT, LLaMA and BLOOM, widely used in various ...
HARP (Human Assisted Reclustering with Permutation Invariant Criterion): A multi-agent reinforcement learning framework to improve dynamic clustering and performance with minimal human intervention
Multi-agent reinforcement learning (MARL) is a field focused on developing systems in which multiple agents cooperate to solve tasks that ...
Human Rights Foundation awards 10 bitcoins to 20 projects around the world
Today, the Human Rights Foundation (HRF) announced its most recent round of bitcoin Development Fund grants, according to a press ...
Align Meta Llama 3 to human preferences with DPO, Amazon SageMaker Studio, and Amazon SageMaker Ground Truth
Large language models (LLMs) have remarkable capabilities. Nevertheless, using them in customer-facing applications often requires tailoring their responses to align ...
Improving reinforcement learning from human feedback with criticism-generated reward models
Language models have gained prominence in reinforcement learning from human feedback (RLHF), but current reward modeling approaches face challenges in ...
Using AI analytics to get the most out of human tutors
This piece ai-analysis-to-bring-out-the-best-in-human-tutors/" target="_blank" rel="noreferrer noopener">Originally appeared on the Christensen Institute blog. and is republished here with permission. Key points: ...
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