Improving accuracy of rare words for RNN-Transducer through unigram shallow fusion. - Vijay Ravi; Yile Gu; Ankur Gandhe; Ariya Rastrow; Linda Liu; Denis Filimonov; Scott Novotney; Ivan Bulyko (CoRR, 2020)

Multi-Task Language Modeling for Improving Speech Recognition of Rare Words. - Chao-Han Huck Yang; Linda Liu; Ankur Gandhe; Yile Gu; Anirudh Raju; Denis Filimonov; Ivan Bulyko (ASRU, 2021)

Personalization Strategies for End-to-End Speech Recognition Systems. - Aditya Gourav; Linda Liu; Ankur Gandhe; Yile Gu; Guitang Lan; Xiangyang Huang; Shashank Kalmane; Gautam Tiwari; Denis Filimonov; Ariya Rastrow; Andreas Stolcke; Ivan Bulyko (ICASSP, 2021)

Domain-Aware Neural Language Models for Speech Recognition. - Linda Liu; Yile Gu; Aditya Gourav; Ankur Gandhe; Shashank Kalmane; Denis Filimonov; Ariya Rastrow; Ivan Bulyko (ICASSP, 2021)

Adjunct-Emeritus Distillation for Semi-Supervised Language Model Adaptation. - Scott Novotney; Yile Gu; Ivan Bulyko (Interspeech, 2021)

RescoreBERT: Discriminative Speech Recognition Rescoring With Bert. - Liyan Xu; Yile Gu; Jari Kolehmainen; Haidar Khan; Ankur Gandhe; Ariya Rastrow; Andreas Stolcke; Ivan Bulyko (ICASSP, 2022)

Mitigating Closed-Model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition. - Chao-Han Huck Yang; Zeeshan Ahmed; Yile Gu; Joseph Szurley; Roger Ren; Linda Liu; Andreas Stolcke; Ivan Bulyko (ICASSP, 2022)

Discriminative Speech Recognition Rescoring With Pre-Trained Language Models. - Prashanth Gurunath Shivakumar; Jari Kolehmainen; Yile Gu; Ankur Gandhe; Ariya Rastrow; Ivan Bulyko (ASRU, 2023)

Generative Speech Recognition Error Correction With Large Language Models and Task-Activating Prompting. - Chao-Han Huck Yang; Yile Gu; Yi-Chieh Liu; Shalini Ghosh; Ivan Bulyko; Andreas Stolcke (ASRU, 2023)

Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. - Yu Yu; Chao-Han Huck Yang; Jari Kolehmainen; Prashanth Gurunath Shivakumar; Yile Gu; Sungho Ryu; Roger Ren; Qi Luo; Aditya Gourav; I-Fan Chen; Yi-Chieh Liu; Tuan Dinh; et al. (ASRU, 2023)

Scaling Laws for Discriminative Speech Recognition Rescoring Models. - Yile Gu; Prashanth Gurunath Shivakumar; Jari Kolehmainen; Ankur Gandhe; Ariya Rastrow; Ivan Bulyko (INTERSPEECH, 2023)

Personalization for BERT-based Discriminative Speech Recognition Rescoring. - Jari Kolehmainen; Yile Gu; Aditya Gourav; Prashanth Gurunath Shivakumar; Ankur Gandhe; Ariya Rastrow; Ivan Bulyko (INTERSPEECH, 2023)

Distillation Strategies for Discriminative Speech Recognition Rescoring. - Prashanth Gurunath Shivakumar; Jari Kolehmainen; Yile Gu; Ankur Gandhe; Ariya Rastrow; Ivan Bulyko (INTERSPEECH, 2023)

Perseus: Removing Energy Bloat from Large Model Training. - Jae-Won Chung; Yile Gu; Insu Jang; Luoxi Meng; Nikhil Bansal 001; Mosharaf Chowdhury (CoRR, 2023)

Multi-Modal Retrieval For Large Language Model Based Speech Recognition. - Aditya Gourav; Jari Kolehmainen; Prashanth Gurunath Shivakumar; Yile Gu; Grant P. Strimel; Ankur Gandhe; Ariya Rastrow; Ivan Bulyko (ACL (Findings), 2024)

Towards ASR Robust Spoken Language Understanding Through in-Context Learning with Word Confusion Networks. - Kevin Everson; Yile Gu; Chao-Han Huck Yang; Prashanth Gurunath Shivakumar; Guan-Ting Lin; Jari Kolehmainen; Ivan Bulyko; Ankur Gandhe; Shalini Ghosh; Wael Hamza; Hung-Yi Lee; Ariya Rastrow; et al. (ICASSP, 2024)

Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue. - Guan-Ting Lin; Prashanth Gurunath Shivakumar; Ankur Gandhe; Chao-Han Huck Yang; Yile Gu; Shalini Ghosh; Andreas Stolcke; Hung-Yi Lee; Ivan Bulyko (ICASSP, 2024)

Reducing Energy Bloat in Large Model Training. - Jae-Won Chung; Yile Gu; Insu Jang; Luoxi Meng; Nikhil Bansal 001; Mosharaf Chowdhury (SOSP, 2024)

Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models. - Keisuke Kamahori; Yile Gu; Kan Zhu; Baris Kasikci (CoRR, 2024)

NanoFlow: Towards Optimal Large Language Model Serving Throughput. - Kan Zhu; Yilong Zhao; Liangyu Zhao; Gefei Zuo; Yile Gu; Dedong Xie; Yufei Gao; Qinyu Xu; Tian Tang; Zihao Ye 001; Keisuke Kamahori; Chien-Yu Lin; et al. (CoRR, 2024)

Align-SLM: Textless Spoken Language Models with Reinforcement Learning from AI Feedback. - Guan-Ting Lin; Prashanth Gurunath Shivakumar; Aditya Gourav; Yile Gu; Ankur Gandhe; Hung-yi Lee; Ivan Bulyko (ACL (1), 2025)

Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models. - Keisuke Kamahori; Tian Tang; Yile Gu; Kan Zhu; Baris Kasikci (ICLR, 2025)

NanoFlow: Towards Optimal Large Language Model Serving Throughput. - Kan Zhu; Yufei Gao; Yilong Zhao; Liangyu Zhao; Gefei Zuo; Yile Gu; Dedong Xie; Zihao Ye 001; Keisuke Kamahori; Chien-Yu Lin; Ziren Wang; Stephanie Wang; et al. (OSDI, 2025)

Scalable and Accurate Application-Level Crash-Consistency Testing via Representative Testing. - Yile Gu; Ian Neal; Jiexiao Xu; Shaun Christopher Lee; Ayman Said; Musa Haydar; Jacob Van Geffen; Rohan Kadekodi; Andrew Quinn 001; Baris Kasikci (Proc. ACM Program. Lang., 2025)

Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models. - Yile Gu; Yifan Xiong 001; Jonathan Mace; Yuting Jiang; Yigong Hu; Baris Kasikci; Peng Cheng 005 (CoRR, 2025)

Tactic: Adaptive Sparse Attention with Clustering and Distribution Fitting for Long-Context LLMs. - Kan Zhu; Tian Tang; Qinyu Xu; Yile Gu; Zhichen Zeng 002; Rohan Kadekodi; Liangyu Zhao; Ang Li; Arvind Krishnamurthy; Baris Kasikci (CoRR, 2025)

TeleRAG: Efficient Retrieval-Augmented Generation Inference with Lookahead Retrieval. - Chien-Yu Lin; Keisuke Kamahori; Yiyu Liu; Xiaoxiang Shi; Madhav Mahesh Kashyap; Yile Gu; Rulin Shao; Zihao Ye 001; Kan Zhu; Stephanie Wang; Arvind Krishnamurthy; Rohan Kadekodi; et al. (CoRR, 2025)

Semantic Scheduling for LLM Inference. - Wenyue Hua; Dujian Ding; Yile Gu; Yujie Ren; Kai Mei; Minghua Ma; William Yang Wang (CoRR, 2025)

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices. - Yile Gu; Rohan Kadekodi; Hoang Nguyen; Keisuke Kamahori; Yiyu Liu; Baris Kasikci (CoRR, 2025)