The Illusion of Replacement: Rethinking Specialized Machine Learning Models in the Foundation Model Era
cs.CL, cs.AI, cs.LG
Submitted: 2026-08-29
Updated: 2026-09-22
Code: https://github.com/kiyan-rezaee/language-vs-structure
Terminology
Sources
- What learning algorithm is in-context learning? Investigations with linear models
- How Does the Pretraining Distribution Shape In-Context Learning? A Fundamental Trade-Off
- Relational inductive biases, deep learning, and graph networks
- DeepOSets: Non-Autoregressive In-Context Learning with Permutation-Invariance Inductive Bias
- When can in-context learning generalize out of task distribution?
- Transformers Don't In-Context Learn Least Squares Regression
- Towards Neural Scaling Laws on Graphs
- TabDPT: Scaling Tabular Foundation Models on Real Data
- In-context Learning and Induction Heads
- What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models
- In-Context Learning Is Provably Bayesian Inference: A Generalization Theory for Meta-Learning
- Tight Sample Complexity of Transformers
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