VIP-COP: Context Optimization for Tabular Foundation Models
cs.LG
Submitted: 2026-05-13
Updated: 2026-09-29
Code: https://github.com/LAMDA-Tabular/TALENT5https:
Terminology
Sources
- Extending Context Window of Large Language Models via Positional Interpolation
- LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
- TabPFN-Wide: Continued Pre-Training for Extreme Feature Counts
- TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
- TabDPT: Scaling Tabular Foundation Models on Real Data
- In-Context Data Distillation with TabPFN
- A Survey of Context Engineering for Large Language Models
- YaRN: Efficient Context Window Extension of Large Language Models
- TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
- A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
- An Explanation of In-context Learning as Implicit Bayesian Inference
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