28 results on '"Phi Nguyen"'
Search Results
2. On Barycenter Computation: Semi-Unbalanced Optimal Transport-based Method on Gaussians.
3. SFR-RAG: Towards Contextually Faithful LLMs.
4. Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction.
5. ParaICL: Towards Robust Parallel In-Context Learning.
6. Ensemble Learning of Myocardial Displacements for Myocardial Infarction Detection in Echocardiography.
7. RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization.
8. SeaLLMs - Large Language Models for Southeast Asia.
9. Uncovering Unique Concept Vectors through Latent Space Decomposition.
10. A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization.
11. Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts.
12. Improving Speech-to-Speech Translation Through Unlabeled Text.
13. ViWOZ: A Multi-Domain Task-Oriented Dialogue Systems Dataset For Low-resource Language.
14. Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Model.
15. RST Parsing from Scratch.
16. It's FLAN time! Summing feature-wise latent representations for interpretability.
17. A Conditional Splitting Framework for Efficient Constituency Parsing.
18. Fully Automated Machine Learning Pipeline for Echocardiogram Segmentation.
19. Multi-Agent Cross-Translated Diversification for Unsupervised Machine Translation.
20. Differentiable Window for Dynamic Local Attention.
21. Efficient Constituency Parsing by Pointing.
22. Tree-structured Attention with Hierarchical Accumulation.
23. Learning Invariances for Interpretability using Supervised VAE.
24. On quantitative aspects of model interpretability.
25. MonoNet: Towards Interpretable Models by Learning Monotonic Features.
26. Data Diversification: An Elegant Strategy For Neural Machine Translation.
27. edGNN: a Simple and Powerful GNN for Directed Labeled Graphs.
28. Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks.
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