Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation
- 2025
- NeurIPS 2025
Conference paper
Publications
100 results at NeurIPS 2025
Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve
- Yuanzhe Liu
- Ryan Deng
- et al.
- 2025
- NeurIPS 2025
Conference paperAnalog Foundation Models
- Julian Büchel
- Iason Chalas
- et al.
- 2025
- NeurIPS 2025
Conference paperOptimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions
- Yanna Ding
- Songtao Lu
- et al.
- 2025
- NeurIPS 2025
Conference paperFlick: Empowering Federated Learning with Commonsense Knowledge
- Ran Zhu
- Mingkun Yang
- et al.
- 2025
- NeurIPS 2025
Conference paperFair Continuous Resource Allocation with Equality of Impact
- Blossom Metevier
- Dennis Wei
- et al.
- 2025
- NeurIPS 2025
Conference paperFailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes
- Christodoulos Constantinides
- Dhaval Patel
- et al.
- 2025
- NeurIPS 2025
Conference paperMESS+: Dynamically Learned Inference-Time LLM Routing in Model Zoos with Service Level Guarantees
- Herbert Woisetschläger
- Ryan Zhang
- et al.
- 2025
- NeurIPS 2025
Conference paperRCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
- Adam Piaseczny
- Kamran Shisher
- et al.
- 2025
- NeurIPS 2025
Conference paperCausally Reliable Concept Bottleneck Models
- Giovanni De Felice
- Arianna Casanova Flores
- et al.
- 2025
- NeurIPS 2025
Conference paper