Gabriel Stanovsky

Most-cited papers

1. Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias

   Itay Itzhak, Gabriel Stanovsky, Nir Rosenfeld, Yonatan Belinkov

   2023Transactions of the Association for Computational Linguistics82 citations Open access

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2. Trust Me, I'm Wrong: High-Certainty Hallucinations in LLMs

   Adi Simhi, Itay Itzhak, Fazl Barez, Gabriel Stanovsky +1 more

   2025arXiv.org43 citations

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3. Trust Me, I'm Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer

   Adi Simhi, Itay Itzhak, Fazl Barez, Gabriel Stanovsky +1 more

   2025Conference on Empirical Methods in Natural Language Processing33 citations Open access

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4. Planted in Pretraining, Swayed by Finetuning: A Case Study on the Origins of Cognitive Biases in LLMs

   Itay Itzhak, Yonatan Belinkov, Gabriel Stanovsky

   2025arXiv.org9 citations

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5. HACK: Hallucinations Along Certainty and Knowledge Axes

   Adi Simhi, Jonathan Herzig, Itay Itzhak, Dana Arad +6 more

   2025arXiv.org8 citations

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6. The State and Fate of Summarization Datasets

   Noam Dahan, Gabriel Stanovsky

   2024North American Chapter of the Association for Computational Linguistics7 citations

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7. People will agree what I think: Investigating LLM’s False Consensus Effect

   Junhyuk Choi, Steven Adler, Lama Sandhini Agarwal, Ilge Akkaya +63 more

   4 citations

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8. Beyond Memorization: Distinguishing between Reductive and Epistemic Reasoning in LLMs using Classic Logic Puzzles

   Adi Gabay, Gabriel Stanovsky, Liat Peterfreund

   2026arXiv.org0 citations

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9. Beyond Memorization: Distinguishing Between Pattern-Based and Epistemic Reasoning in LLMs Using Epistemic Puzzles

   Adi Gabay, Gabriel Stanovsky, Liat Peterfreund

   20260 citations

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10. 🧑‍🍳 Cooking Up Creativity : Enhancing LLM Creativity through Structured Recombination

    Moran Mizrahi, Sha-Ni Chen, Gabriel Stanovsky, Daniel Jurafsky +1 more

    2026Transactions of the Association for Computational Linguistics0 citations Open access

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11. Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource Languages

    Noam Dahan, Omer Kidron, Gabriel Stanovsky

    2025Conference of the European Chapter of the Association for Computational Linguistics0 citations

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