| Filling the gaps in ancient Akkadian texts: a masked language modelling approach K Lazar, B Saret, A Yehudai, W Horowitz, N Wasserman, G Stanovsky arXiv preprint arXiv:2109.04513, 2021 | 23 | 2021 |
| Genie: Achieving human parity in content-grounded datasets generation A Yehudai, B Carmeli, Y Mass, O Arviv, N Mills, A Toledo, E Shnarch, ... arXiv preprint arXiv:2401.14367, 2024 | 17 | 2024 |
| QAID: Question answering inspired few-shot intent detection A Yehudai, M Vetzler, Y Mass, K Lazar, D Cohen, B Carmeli arXiv preprint arXiv:2303.01593, 2023 | 8 | 2023 |
| Reinforcement learning with large action spaces for neural machine translation A Yehudai, L Choshen, L Fox, O Abend arXiv preprint arXiv:2210.03053, 2022 | 8 | 2022 |
| Conversational Search with Mixed-Initiative--Asking Good Clarification Questions backed-up by Passage Retrieval Y Mass, D Cohen, A Yehudai, D Konopnicki arXiv preprint arXiv:2112.07308, 2021 | 5 | 2021 |
| Achieving Human Parity in Content-Grounded Datasets Generation A Yehudai, B Carmeli, Y Mass, O Arviv, N Mills, E Shnarch, L Choshen The Twelfth International Conference on Learning Representations, 2024 | 4 | 2024 |
| Do these LLM benchmarks agree? Fixing benchmark evaluation with BenchBench Y Perlitz, A Gera, O Arviv, A Yehudai, E Bandel, E Shnarch, ... arXiv preprint arXiv:2407.13696, 2024 | 3 | 2024 |
| Benchmark agreement testing done right: A guide for llm benchmark evaluation Y Perlitz, A Gera, O Arviv, A Yehudai, E Bandel, E Shnarch, ... arXiv e-prints, arXiv: 2407.13696, 2024 | 3 | 2024 |
| Evaluating and Improving the Coreference Capabilities of Machine Translation Models A Yehudai, A Cattan, O Abend, G Stanovsky arXiv preprint arXiv:2302.08464, 2023 | 3 | 2023 |
| JuStRank: Benchmarking LLM Judges for System Ranking A Gera, O Boni, Y Perlitz, R Bar-Haim, L Eden, A Yehudai arXiv preprint arXiv:2412.09569, 2024 | 2 | 2024 |
| Selective self-rehearsal: A fine-tuning approach to improve generalization in large language models S Gupta, Y Nandwani, A Yehudai, M Mishra, G Pandey, D Raghu, S Joshi arXiv preprint arXiv:2409.04787, 2024 | 1 | 2024 |
| When LLMs are Unfit Use FastFit: Fast and Effective Text Classification with Many Classes A Yehudai, E Bendel arXiv preprint arXiv:2404.12365, 2024 | 1 | 2024 |
| Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models S Gupta, Y Nandwani, A Yehudai, D Khandelwal, D Raghu, S Joshi arXiv preprint arXiv:2502.08130, 2025 | | 2025 |
| More Bang for your Context: Virtual Documents for Question Answering over Long Documents Y Mass, B Carmeli, A Yehudai, A Toledo, N Mills Findings of the Association for Computational Linguistics: EMNLP 2024, 12936 …, 2024 | | 2024 |
| A Grounded Preference Model for LLM Alignment T Naseem, G Xu, S Swaminathan, A Yehudai, S Chaudhury, R Florian, ... Findings of the Association for Computational Linguistics ACL 2024, 151-162, 2024 | | 2024 |
| Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation B Iluz, Y Elazar, A Yehudai, G Stanovsky arXiv preprint arXiv:2406.00787, 2024 | | 2024 |
| FastFit: Fast and Effective Few-Shot Text Classification with a Multitude of Classes A Yehudai, E Bandel Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | | 2024 |
| A Nurse is Blue and Elephant is Rugby: Cross Domain Alignment in Large Language Models Reveal Human-like Patterns A Yehudai, T Karidi, G Stanovsky, A Goldstein, O Abend arXiv preprint arXiv:2405.14863, 2024 | | 2024 |
