activity
20232026
most citedCognitive Effects in Large Language Models

7 citations · 7 across the 8 of their papers we have counts for

collaborators

8 papers

cs.GT2026

Who Is Really Playing? Strategic Interaction in AI-Guided Populations

Jonathan Shaki, Eden Hartman, Sarit Kraus +1

AI systems in general, and Large language models (LLMs), in particular, are increasingly used to provide instructions to many agents who interact with one another. Such shared reli…

cs.CL2026

Ensemble Self-Training for Unsupervised Machine Translation

Ido Aharon, Jonathan Shaki, Sarit Kraus

We present an ensemble-driven self-training framework for unsupervised neural machine translation (UNMT). Starting from a primary language pair, we train multiple UNMT models that…

cs.CL2026

Pro-AI Bias in Large Language Models

Benaya Trabelsi, Jonathan Shaki, Sarit Kraus

Large language models (LLMs) are increasingly employed for decision-support across multiple domains. We ask whether these models favor artificial intelligence (AI) itself. We exami…

cs.GT2025

Persuading Stable Matching

Jonathan Shaki, Jiarui Gan, Sarit Kraus

In bipartite matching problems, agents on two sides of a graph want to be paired according to their preferences. The stability of a matching depends on these preferences, which in…

cs.LG2025

Out-of-Context Reasoning in Large Language Models

Jonathan Shaki, Emanuele La Malfa, Michael Wooldridge +1

We study how large language models (LLMs) reason about memorized knowledge through simple binary relations such as equality (), inequality (), and inclusion (). Unli…

cs.GT2024

Voter Priming Campaigns: Strategies, Equilibria, and Algorithms

Jonathan Shaki, Yonatan Aumann, Sarit Kraus

Issue salience is a major determinant in voters' decisions. Candidates and political parties campaign to shift salience to their advantage - a process termed priming. We study the…

cs.AI2024

Bayesian Persuasion with Externalities: Exploiting Agent Types

Jonathan Shaki, Jiarui Gan, Sarit Kraus

We study a Bayesian persuasion problem with externalities. In this model, a principal sends signals to inform multiple agents about the state of the world. Simultaneously, due to t…

cs.AI2023★ 7 cited

Cognitive Effects in Large Language Models

Jonathan Shaki, Sarit Kraus, Michael Wooldridge

Large Language Models (LLMs) such as ChatGPT have received enormous attention over the past year and are now used by hundreds of millions of people every day. The rapid adoption of…