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training distribution

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distribution shift (2) compositional generalization (2) test distribution (1) neural sequence model (1) large language model (1) seq-to-seq model (1) neural network (1) hallucination removal (1) denoising score matching (1) scan benchmark (1)

Papers

ATLANTIS: Weak-to-Strong Learning via Importance Sampling ACL 2025 Generalization through variance: how noise shapes inductive biases in diffusion models ICLR 2025 Understanding Hallucinations in Diffusion Models through Mode Interpolation NeurIPS 2024 Compositional Generalization from First Principles NeurIPS 2023 Data Distributional Properties Drive Emergent In-Context Learning in Transformers NeurIPS 2022 Revisiting the Compositional Generalization Abilities of Neural Sequence Models ACL 2022 Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification ICML 2014