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ORCIDDaniela Gottesman
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2020 – today
- 2025
[c5]Daniela Gottesman, Mor Geva, Dana Ramati:
Eliciting Textual Descriptions from Representations of Continuous Prompts. ACL (Findings) 2025: 16545-16562- [c4]Ido Cohen, Daniela Gottesman, Mor Geva, Raja Giryes:
Performance Gap in Entity Knowledge Extraction Across Modalities in Vision Language Models. ACL (1) 2025: 29095-29108 - [c3]Sohee Yang, Sang-Woo Lee, Nora Kassner, Daniela Gottesman, Sebastian Riedel, Mor Geva:
How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts? EMNLP (Findings) 2025: 7030-7047 - [i6]Sohee Yang, Sang-Woo Lee, Nora Kassner, Daniela Gottesman, Sebastian Riedel, Mor Geva:
How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts? CoRR abs/2506.10979 (2025) - [i5]Daniela Gottesman, Alon Gilae-Dotan, Ido Cohen, Yoav Gur-Arieh, Marius Mosbach, Ori Yoran, Mor Geva:
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations. CoRR abs/2509.03405 (2025) - 2024
- [c2]Daniela Gottesman, Mor Geva:
Estimating Knowledge in Large Language Models Without Generating a Single Token. EMNLP 2024: 3994-4019 - [c1]Eden Biran, Daniela Gottesman, Sohee Yang, Mor Geva, Amir Globerson:
Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries. EMNLP 2024: 14113-14130 - [i4]Daniela Gottesman, Mor Geva:
Estimating Knowledge in Large Language Models Without Generating a Single Token. CoRR abs/2406.12673 (2024) - [i3]Eden Biran, Daniela Gottesman, Sohee Yang, Mor Geva, Amir Globerson:
Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries. CoRR abs/2406.12775 (2024) - [i2]Dana Ramati, Daniela Gottesman, Mor Geva:
Eliciting Textual Descriptions from Representations of Continuous Prompts. CoRR abs/2410.11660 (2024) - [i1]Ido Cohen, Daniela Gottesman, Mor Geva, Raja Giryes:
Performance Gap in Entity Knowledge Extraction Across Modalities in Vision Language Models. CoRR abs/2412.14133 (2024)
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