MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning. - Ehud Karpas; Omri Abend; Yonatan Belinkov; Barak Lenz; Opher Lieber; Nir Ratner; Yoav Shoham; Hofit Bata; Yoav Levine; Kevin Leyton-Brown; Dor Muhlgay; Noam Rozen; et al. (CoRR, 2022)

Parallel Context Windows Improve In-Context Learning of Large Language Models. - Nir Ratner; Yoav Levine; Yonatan Belinkov; Ori Ram; Omri Abend; Ehud Karpas; Amnon Shashua; Kevin Leyton-Brown; Yoav Shoham (CoRR, 2022)

Parallel Context Windows for Large Language Models. - Nir Ratner; Yoav Levine; Yonatan Belinkov; Ori Ram; Inbal Magar; Omri Abend; Ehud Karpas; Amnon Shashua; Kevin Leyton-Brown; Yoav Shoham (ACL (1), 2023)

Puzzle: Distillation-Based NAS for Inference-Optimized LLMs. - Akhiad Bercovich; Tomer Ronen; Talor Abramovich; Nir Ailon; Nave Assaf; Mohammad Dabbah; Ido Galil; Amnon Geifman; Yonatan Geifman; Izhak Golan; Netanel Haber; Ehud Karpas; et al. (CoRR, 2024)

FFN Fusion: Rethinking Sequential Computation in Large Language Models. - Akhiad Bercovich; Mohammad Dabbah; Omri Puny; Ido Galil; Amnon Geifman; Yonatan Geifman; Izhak Golan; Ehud Karpas; Itay Levy; Zach Moshe; Najeeb Nabwani; Tomer Ronen; et al. (CoRR, 2025)

Llama-Nemotron: Efficient Reasoning Models. - Akhiad Bercovich; Itay Levy; Izik Golan; Mohammad Dabbah; Ran El-Yaniv; Omri Puny; Ido Galil; Zach Moshe; Tomer Ronen; Najeeb Nabwani; Ido Shahaf; Oren Tropp; et al. (CoRR, 2025)