Yoran, Ori

SCROLLS: Standardized CompaRison Over Long Language Sequences

Shaham, U., Segal, E., Ivgi, M., Efrat, A., Yoran, O., Haviv, A., Gupta, A., Xiong, W., Geva, M., Berant, J., et al. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesTopic Modeling

Cited by 40

Answering Questions by Meta-Reasoning over Multiple Chains of Thought

Yoran, O., Wolfson, T., Bogin, B., Katz, U., Deutch, D., & Berant, J. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 38

Making Retrieval-Augmented Language Models Robust to Irrelevant Context

Yoran, O., Wolfson, T., Ram, O., & Berant, J. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 26

AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?

Yoran, O., Amouyal, S. J., Malaviya, C., Bogin, B., Press, O., & Berant, J. (2024) · arXiv

Information Retrieval and Search BehaviorWeb Data Mining and Analysis

Cited by 11

CWM: An Open-Weights LLM for Research on Code Generation with World Models

FAIR CodeGen team, Copet, J., Carbonneaux, Q., Cohen, G., Gehring, J., Kahn, J., Kossen, J., Kreuk, F., McMilin, E., Meyer, M., et al. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0