DeltaAI Publications

Delta AI Publications

Publications resulting from research conducted using DeltaAI appear here. Check back to see how the list of exciting discoveries made using DeltaAI grows.

If you have a publication that should be listed here and isn’t, please share your success with us!​

1.
Butler, L. et al. ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs. Preprint at https://doi.org/10.48550/ARXIV.2505.17495 (2025).
1.
Agarwal, S., Zhang, Z., Yuan, L., Han, J. & Peng, H. The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning. Preprint at https://doi.org/10.48550/ARXIV.2505.15134 (2025).
1.
Liu, Q. et al. Geometry-Informed Neural Operator Transformer. Preprint at https://doi.org/10.48550/ARXIV.2504.19452 (2025).
1.
Li, S. & Shao, C. Multi-Modal Fusion of In-Situ Video Data and Process Parameters for Online Forecasting of Cookie Drying Readiness. Preprint at https://doi.org/10.48550/ARXIV.2504.15599 (2025).
1.
Gauba, A. et al. AgMMU: A Comprehensive Agricultural Multimodal Understanding and Reasoning Benchmark. Preprint at https://doi.org/10.48550/ARXIV.2504.10568 (2025).
1.
Lin, L., Yu, X., Pang, Z. & Wang, Y.-X. GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation. Preprint at https://doi.org/10.48550/ARXIV.2504.07962 (2025).
1.
Liu, Q., Koric, S., Abueidda, D., Meidani, H. & Geubelle, P. Towards Signed Distance Function based Metamaterial Design: Neural Operator Transformer for Forward Prediction and Diffusion Model for Inverse Design. Preprint at https://doi.org/10.48550/ARXIV.2504.01195 (2025).
1.
Cui, S. et al. Characterizing GPU Resilience and Impact on AI/HPC Systems. Preprint at https://doi.org/10.48550/ARXIV.2503.11901 (2025).
1.
Cheng, H. K. & Schwing, A. The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation. Preprint at https://doi.org/10.48550/ARXIV.2503.10636 (2025).
1.
Arora, S. et al. ESPnet-SDS: Unified Toolkit and Demo for Spoken Dialogue Systems. Preprint at https://doi.org/10.48550/ARXIV.2503.08533 (2025).
1.
Wilfong, B. et al. MFC 5.0: An exascale many-physics flow solver. Preprint at https://doi.org/10.48550/ARXIV.2503.07953 (2025).
1.
Kacmaz, S., Haas, R. & Huerta, E. A. Machine learning-driven conservative-to-primitive conversion in hybrid piecewise polytropic and tabulated equations of state. Preprint at https://doi.org/10.48550/ARXIV.2412.07836 (2024).
1.
Tiki, V., Pham, K. & Huerta, E. AI forecasting of higher-order wave modes of spinning binary black hole mergers. Preprint at https://doi.org/10.48550/ARXIV.2409.03833 (2024).