Fast Conformer With Linearly Scalable Attention For Efficient Speech Recognition. - Dima Rekesh; Nithin Rao Koluguri; Samuel Kriman; Somshubra Majumdar; Vahid Noroozi; He Huang 012; Oleksii Hrinchuk; Krishna C. Puvvada; Ankur Kumar; Jagadeesh Balam; Boris Ginsburg (ASRU, 2023)

Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition. - Dima Rekesh; Samuel Kriman; Somshubra Majumdar; Vahid Noroozi; He Huang 012; Oleksii Hrinchuk; Ankur Kumar; Boris Ginsburg (CoRR, 2023)

Towards training Bilingual and Code-Switched Speech Recognition models from Monolingual data sources. - Kunal Dhawan; Dima Rekesh; Boris Ginsburg (CoRR, 2023)

Investigating End-to-End ASR Architectures for Long Form Audio Transcription. - Nithin Rao Koluguri; Samuel Kriman; Georgy Zelenfroind; Somshubra Majumdar; Dima Rekesh; Vahid Noroozi; Jagadeesh Balam; Boris Ginsburg (ICASSP, 2024)

RULER: What's the Real Context Size of Your Long-Context Language Models? - Cheng-Ping Hsieh; Simeng Sun; Samuel Kriman; Shantanu Acharya; Dima Rekesh; Fei Jia; Yang Zhang 089; Boris Ginsburg (CoRR, 2024)

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models. - Aaron Blakeman; Aarti Basant; Abhinav Khattar; Adithya Renduchintala; Akhiad Bercovich; Aleksander Ficek; Alexis Bjorlin; Ali Taghibakhshi; Amala Sanjay Deshmukh; Ameya Sunil Mahabaleshwarkar; Andrew Tao; Anna Shors; et al. (CoRR, 2025)

SWAN-GPT: An Efficient and Scalable Approach for Long-Context Language Modeling. - Krishna C. Puvvada; Faisal Ladhak; Santiago Akle Serrano; Cheng-Ping Hsieh; Shantanu Acharya; Somshubra Majumdar; Fei Jia; Samuel Kriman; Simeng Sun; Dima Rekesh; Boris Ginsburg (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)