Victor Agostinelli

According to our database, Victor Agostinelli authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

BeaverTalk: Oregon State University's IWSLT 2025 Simultaneous Speech Translation System.

Matthew Raffel, Victor Agostinelli, Lizhong Chen

CoRR, May, 2025

ML For Hardware Design Interpretability: Challenges and Opportunities.

Raymond Baartmans, Andrew Ensinger, Victor Agostinelli, Lizhong Chen

CoRR, April, 2025

UltraFormer: An Efficient Transformer for FPGAs.

Victor Agostinelli, Nicolas Bohm Agostini, Antonino Tumeo

Proceedings of the 33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2025

2024

Swift: High-Performance Sparse Tensor Contraction for Scientific Applications.

Andrew Ensinger, Gabriel Kulp, Victor Agostinelli, Dennis Lyakhov, Lizhong Chen

CoRR, 2024

LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions.

Victor Agostinelli, Sanghyun Hong, Lizhong Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation.

Matthew Raffel, Victor Agostinelli, Lizhong Chen

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Partitioning-Guided K-Means: Extreme Empty Cluster Resolution for Extreme Model Compression.

Tianhong Huang, Victor Agostinelli, Lizhong Chen

CoRR, 2023

Improving Autoregressive NLP Tasks via Modular Linearized Attention.

Victor Agostinelli, Lizhong Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023