23 citations · 30 across the 16 of their papers we have counts for
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3 papers · 1 filter
cs.CL2024★ 1 cited
Do These LLM Benchmarks Agree? Fixing Benchmark Evaluation with BenchBench
Yotam Perlitz, Ariel Gera, Ofir Arviv +5
Recent advancements in Language Models (LMs) have catalyzed the creation of multiple benchmarks, designed to assess these models' general capabilities. A crucial task, however, is…
cs.CL2024★ 2 cited
When LLMs are Unfit Use FastFit: Fast and Effective Text Classification with Many Classes
Asaf Yehudai, Elron Bendel
We present FastFit, a method, and a Python package design to provide fast and accurate few-shot classification, especially for scenarios with many semantically similar classes. Fas…
cs.CL2024
Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI
Elron Bandel, Yotam Perlitz, Elad Venezian +9
In the dynamic landscape of generative NLP, traditional text processing pipelines limit research flexibility and reproducibility, as they are tailored to specific dataset, task, an…