[Official Implementation] Acoustic Autoregressive Modeling 🔥
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Aug 24, 2024 - Python
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autoregressive-generation
Here are 7 public repositories matching this topic...
Generative Models for Real-World Sensor Time Series
time-series generative-models diffusion-models generative-ai multimodal-generation time-series-generation flow-matching autoregressive-generation
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Jul 15, 2026 - Python
Reproducibility study of Planning-Ahead Generative Retrieval (PAG), probing lexical planner robustness under query perturbations and cross-lingual evaluation. SIGIR 2026 Reproducibility Track.
stress-testing beam-search cross-lingual reproducing llms generative-retrieval autoregressive-generation genir guiding-autoregressive-generation simultaneous-decoding lost-in-decoding look-ahead-prior trie-constrained-beam-search query-variations
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Jul 11, 2026 - Python
How Chain-of-Thought Budgets Induce Overconfidence in LLMs. Investigating Calibration Drift Under Reasoning (CDUR), hypothesis lock-in mechanisms, and dynamic token budgeting via the CABStop optimal stopping algorithm.
uncertainty-estimation self-consistency ai-alignment optimal-stopping chain-of-thought autoregressive-generation inference-time-scaling expected-calibration-error verbalized-confidence compute-budget
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Jun 16, 2026 - Python
Research code for the Dynamic Mixture-of-Experts in Visual Autoregressive Models paper.
sparsity transformers image-generation dynamic-routing efficient-inference mixture-of-experts autoregressive-generation visual-autoregressive-model
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Mar 19, 2026 - Python
Exploring the architecture of the tech and its evolution that forms the backbone of the state-of-the-art NLP systems
transformer lstm rnn attention bert tokenization masking feed-forward gpt-2 multi-head positional-encoding autoregressive-generation
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Mar 19, 2026 - Python
Neural ODE Transformer in Julia, trained via adjoint sensitivity methods. Matched-architecture vs. discrete Transformer on Penn Treebank: 119.9 val perplexity vs 113.7 discrete. Single-seed result; discrete wins at this scale as expected, continuous-depth advantage expected to emerge at larger scale.
machine-learning natural-language-processing deep-learning julia text-generation transformer neural-networks tensorboard differential-equations language-model continuous-time adjoint-method neural-ode sciml kv-cache autoregressive-generation flux-jl continuous-depth
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Jun 30, 2026 - Julia
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