99 citations · 330 across the 75 of their papers we have counts for
7 papers · 1 filter
Implicit Personality Representations in Humans and LLMs
Yilin Geng, Omri Abend, Eduard Hovy +1
A century of psychology has found that the trait words people use to describe one another vary, but the relational structure among those traits, which ones go together and which op…
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…
Discrete Diffusion Models Exploit Asymmetry to Solve Lookahead Planning Tasks
Itamar Trainin, Shauli Ravfogel, Omri Abend +1
While Autoregressive (AR) Transformer-based Generative Language Models are frequently employed for lookahead tasks, recent research suggests a potential discrepancy in their abilit…