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Hila Noga

2 accepted papers

2024

Multi-turn Reinforcement Learning with Preference Human Feedback

NeurIPS 2024poster

Reinforcement Learning from Human Feedback (RLHF) has become the standard approach for aligning Large Language Models (LLMs) with human preferences, allowing LLMs to demonstrate remarkable abilities in various tasks. Existing methods work by emulating the human preference at the single decision (tu…

Cited by 17SourcePDFScholar
2023

Multilingual Sequence-to-Sequence Models for Hebrew NLP

ACL 2023findings

Recent work attributes progress in NLP to large language models (LMs) with increased model size and large quantities of pretraining data. Despite this, current state-of-the-art LMs for Hebrew are both under-parameterized and under-trained compared to LMs in other languages. Additionally, previous wo…

Cited by 4SourcePDFScholar