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autoregressive-generation

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Reproducibility study of Planning-Ahead Generative Retrieval (PAG), probing lexical planner robustness under query perturbations and cross-lingual evaluation. SIGIR 2026 Reproducibility Track.

  • Updated Apr 16, 2026
  • Python

A continuous depth language model framework in Julia, implementing Neural ODE Transformers, custom continuous attention integrators, reversible depth architectures, adjoint-based training, and efficient KV-cached inference.

  • Updated Dec 13, 2025
  • Julia

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