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cs.CL2024
Teaching Models to Improve on Tape
Liat Bezalel, Eyal Orgad, Amir Globerson
Large Language Models (LLMs) often struggle when prompted to generate content under specific constraints. However, in such cases it is often easy to check whether these constraints…
cs.CL2023
MetaXLR -- Mixed Language Meta Representation Transformation for Low-resource Cross-lingual Learning based on Multi-Armed Bandit
Liat Bezalel, Eyal Orgad
Transfer learning for extremely low resource languages is a challenging task as there is no large scale monolingual corpora for pre training or sufficient annotated data for fine t…
cs.CL2022★ 1 cited
What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary
Ori Ram, Liat Bezalel, Adi Zicher +3
Dual encoders are now the dominant architecture for dense retrieval. Yet, we have little understanding of how they represent text, and why this leads to good performance. In this w…