99 citations · 330 across the 75 of their papers we have counts for
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User Feedback Provides a Unique Signal that LLMs Can not Detect
Shachar Don-Yehiya, Leshem Choshen, Omri Abend
Harnessing naturally occurring feedback from user interactions offers a promising learning signal for Large Language Models (LLMs). However, recent studies suggest this feedback is…
Position: Natural Language Should Not Fully Replace Formal Languages
Eitan Wagner, Elisha Rosensweig, Omri Abend
Recent advances in large language models and their widespread adoption have prompted claims that natural language could entirely replace formal languages, such as programming langu…
Cross-Lingual Exploration for Parametric Knowledge
Elisha Diskind, Itamar Trainin, Uri Shaham +3
Parametric knowledge in Large Language Models is not equally accessible across languages. As a result, standard inference techniques often struggle to surface localized facts, lead…
Mediocrity is the key for LLM as a Judge Anchor Selection
Shachar Don-Yehiya, Asaf Yehudai, Leshem Choshen +1
The ``LLM-as-a-judge'' paradigm has become a standard method for evaluating open-ended generation. To address the quadratic scalability costs of pairwise comparisons, popular bench…
Measuring Pragmatic Influence in Large Language Model Instructions
Yilin Geng, Omri Abend, Eduard Hovy +1
It is not only what we ask large language models (LLMs) to do that matters, but also how we ask them. Phrases like ``This is urgent'' or ``As your supervisor'' can shift model beha…