Aharoni, Roee
Q
13 papers on CoChat
Most cited papers
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Massively Multilingual Neural Machine Translation
Aharoni, R., Johnson, M., & Firat, O. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
Natural Language Processing TechniquesTopic Modeling
Cited by 402
- Verified
Unsupervised Domain Clusters in Pretrained Language Models
Aharoni, R., & Goldberg, Y. (2020) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 187
- Verified
Unsupervised Domain Clusters in Pretrained Language Models
Aharoni, R., & Goldberg, Y. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Topic ModelingNatural Language Processing Techniques
Cited by 181
- Verified
Q2: : Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering
Honovich, O., Choshen, L., Aharoni, R., Neeman, E., Szpektor, I., & Abend, O. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Speech and dialogue systemsTopic Modeling
Cited by 113
- Verified
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
Gekhman, Z., Yona, G., Aharoni, R., Eyal, M., Feder, A., Reichart, R., & Herzig, J. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 86
- Verified
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
Gekhman, Z., Yona, G., Aharoni, R., Eyal, M., Feder, A., Reichart, R., & Herzig, J. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 86
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TRUE: Re-evaluating Factual Consistency Evaluation
Honovich, O., Aharoni, R., Herzig, J., Taitelbaum, H., Kukliansy, D., Cohen, V., Scialom, T., Szpektor, I., Hassidim, A., & Matias, Y. (2022) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 84
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Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 69
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TRUE: Re-evaluating Factual Consistency Evaluation
Honovich, O., Aharoni, R., Herzig, J., Taitelbaum, H., Kukliansy, D., Cohen, V., Scialom, T., Szpektor, I., Hassidim, A., & Matias, Y. (2022) · Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering
Speech and dialogue systemsTopic Modeling
Cited by 56
- Verified
TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models
Gekhman, Z., Herzig, J., Aharoni, R., Elkind, C., & Szpektor, I. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 33
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Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models
Bohnet, B., Tran, V. Q., Verga, P., Aharoni, R., Andor, D., Soares, L. B., Ciaramita, M., Eisenstein, J., Ganchev, K., Herzig, J., et al. (2022) · arXiv
Topic ModelingAuthorship Attribution and Profiling
Cited by 30
- Verified
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?
Yona, G., Aharoni, R., & Geva, M. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 18
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A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains
Jacovi, A., Bitton, Y., Bohnet, B., Herzig, J., Honovich, O., Tseng, M., Collins, M., Aharoni, R., & Geva, M. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Natural Language Processing TechniquesTopic Modeling
Cited by 14
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