no code implementations • 29 Apr 2024 • Andreas Waldis, Yotam Perlitz, Leshem Choshen, Yufang Hou, Iryna Gurevych
We introduce Holmes, a benchmark to assess the linguistic competence of language models (LMs) - their ability to grasp linguistic phenomena.
1 code implementation • 25 Jan 2024 • Elron Bandel, Yotam Perlitz, Elad Venezian, Roni Friedman-Melamed, Ofir Arviv, Matan Orbach, Shachar Don-Yehyia, Dafna Sheinwald, Ariel Gera, Leshem Choshen, Michal Shmueli-Scheuer, Yoav Katz
In the dynamic landscape of generative NLP, traditional text processing pipelines limit research flexibility and reproducibility, as they are tailored to specific dataset, task, and model combinations.
no code implementations • 22 Aug 2023 • Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen
The increasing versatility of language models (LMs) has given rise to a new class of benchmarks that comprehensively assess a broad range of capabilities.
no code implementations • 24 May 2023 • Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer, Dafna Sheinwald, Noam Slonim, Liat Ein-Dor
In this paper, we present a first systematic study of active learning for NLG, considering a diverse set of tasks and multiple leading selection strategies, and harnessing a strong instruction-tuned model.
no code implementations • 8 Nov 2022 • Yotam Perlitz, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer
We present nBIIG, a neural Business Intelligence (BI) Insights Generation system.
1 code implementation • 31 Oct 2022 • Ariel Gera, Alon Halfon, Eyal Shnarch, Yotam Perlitz, Liat Ein-Dor, Noam Slonim
Recent advances in large pretrained language models have increased attention to zero-shot text classification.
no code implementations • 22 May 2022 • Yotam Perlitz, Liat Ein-Dor, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer
Generating natural language statements to convey logical inferences from tabular data (i. e., Logical NLG) is a process with one input and a variety of valid outputs.
no code implementations • 21 Jul 2021 • Alexandra Dana, Maor Shutman, Yotam Perlitz, Ran Vitek, Tomer Peleg, Roy J Jevnisek
This method can be applied on other object detection applications in scenes with a considerable amount of background and variate object sizes to reduce computations.