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Found 4 papers, 3 papers with code
Towards a Path Dependent Account of Category Fluency
Category fluency is a widely studied cognitive phenomenon, yet two conflicting accounts have been proposed as the underlying retrieval mechanism -- an optimal foraging process deliberately searching through memory (Hills et al., 2012) and a random walk sampling from a semantic network (Abbott et al., 2015).
Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation
Additionally, we introduce a Python library to streamline the entire process from typology design and deployment to annotation processing.
Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA
Large language models (e. g., GPT-4) are uniquely capable of producing highly rated text simplification, yet current human evaluation methods fail to provide a clear understanding of systems' specific strengths and weaknesses.
LENS: A Learnable Evaluation Metric for Text Simplification
Training learnable metrics using modern language models has recently emerged as a promising method for the automatic evaluation of machine translation.
