| 2025 | EMNLP | Language Models Can be Efficiently Steered via Minimal Embedding Layer Transformations. | Diogo Tavares, David Semedo, Alexander Rudnicky, Joo Magalhes |
| 2025 | ICASSP | Exploring Prediction Targets in Masked Pre-Training for Speech Foundation Models. | Li-Wei Chen, Takuya Higuchi, He Bai, Ahmed Hussen Abdelaziz, Shinji Watanabe, Alexander Rudnicky, Tatiana Likhomanenko, Barry-John Theobald, Zakaria Aldeneh |
| 2025 | ICML | A Variational Framework for Improving Naturalness in Generative Spoken Language Models. | Li-Wei Chen, Takuya Higuchi, Zakaria Aldeneh, Ahmed Hussen Abdelaziz, Alexander Rudnicky |
| 2024 | NAACL | Attention Alignment and Flexible Positional Embeddings Improve Transformer Length Extrapolation. | Ta-Chung Chi, Ting-Han Fan, Alexander Rudnicky |
| 2024 | NAACL | Advancing Regular Language Reasoning in Linear Recurrent Neural Networks. | Ting-Han Fan, Ta-Chung Chi, Alexander Rudnicky |
| 2023 | AAAI | A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech. | Li-Wei Chen, Shinji Watanabe, Alexander Rudnicky |
| 2023 | ACL | Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings. | Ta-Chung Chi, Ting-Han Fan, Li-Wei Chen, Alexander Rudnicky, Peter J. Ramadge |
| 2023 | ACL | Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis. | Ta-Chung Chi, Ting-Han Fan, Alexander Rudnicky, Peter J. Ramadge |
| 2023 | EMNLP | Transformer Working Memory Enables Regular Language Reasoning And Natural Language Length Extrapolation. | Ta-Chung Chi, Ting-Han Fan, Alexander Rudnicky, Peter J. Ramadge |
| 2023 | ICASSP | Exploring Wav2vec 2.0 Fine Tuning for Improved Speech Emotion Recognition. | Li-Wei Chen, Alexander Rudnicky |
| 2023 | ICASSP | A Unified One-Shot Prosody and Speaker Conversion System with Self-Supervised Discrete Speech Units. | Li-Wei Chen, Shinji Watanabe, Alexander Rudnicky |
| 2023 | SIGIR | Learning to Ask Questions for Zero-shot Dialogue State Tracking. | Diogo Tavares, David Semedo, Alexander Rudnicky, Joo Magalhes |
| 2022 | ICASSP | Fine-Grained Style Control In Transformer-Based Text-To-Speech Synthesis. | Li-Wei Chen, Alexander Rudnicky |
| 2021 | Interspeech | Temporal Context in Speech Emotion Recognition. | Yangyang Xia, Li-Wei Chen, Alexander Rudnicky, Richard M. Stern |