Improving Autoregressive NLP Tasks via Modular Linearized Attention. - Victor Agostinelli; Lizhong Chen (ECML/PKDD (4), 2023)

Partitioning-Guided K-Means: Extreme Empty Cluster Resolution for Extreme Model Compression. - Tianhong Huang; Victor Agostinelli; Lizhong Chen (CoRR, 2023)

Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models. - Victor Agostinelli; Max Wild; Matthew Raffel; Kazi Ahmed Asif Fuad; Lizhong Chen (ACL (1), 2024)

Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation. - Matthew Raffel; Victor Agostinelli; Lizhong Chen (EMNLP, 2024)

LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions. - Victor Agostinelli; Sanghyun Hong 001; Lizhong Chen (ICML, 2024)

Swift: High-Performance Sparse Tensor Contraction for Scientific Applications. - Andrew Ensinger; Gabriel Kulp; Victor Agostinelli; Dennis Lyakhov; Lizhong Chen (CoRR, 2024)

UltraFormer: An Efficient Transformer for FPGAs. - Victor Agostinelli; Nicolas Bohm Agostini; Antonino Tumeo (FCCM, 2025)

ML For Hardware Design Interpretability: Challenges and Opportunities. - Raymond Baartmans; Andrew Ensinger; Victor Agostinelli; Lizhong Chen (CoRR, 2025)

BeaverTalk: Oregon State University's IWSLT 2025 Simultaneous Speech Translation System. - Matthew Raffel; Victor Agostinelli; Lizhong Chen (CoRR, 2025)