Papers.Data.Code

The Weekly ML Signal

Selected, not collected.

Weekly edition · Oct 05 – Oct 11 · Issue #8

Long memory, adaptive compute

Streaming video memory, token-wise decoding, and multimodal robot data.

Top 3 papers

  1. Long-WAM: Scaling the Context of World-Action Models

    Unlike bidirectionally adapted WAMs, it preserves causal video pretraining, enabling 19.2-second histories to improve control.

    arXivOct 7, 2026
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  2. OneStreamer: Unifying Perception, Memory, and Proactive Response in Streaming Video Interaction

    It unifies proactive response timing and reusable caption memory in one causal decoder.

    arXivOct 1, 2026
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  3. ALoDLM: Adaptively Looped Diffusion Language Models

    It allocates denoising compute per token, letting an 8B DLM beat AR baselines while decoding 2.7× faster on GSM8K.

    arXivOct 3, 2026
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Top 3 repos

  1. nokia-applied-research/AnyJev

    Unlike recent typed-decision repos, it retrofits open LLMs into calibrated classifiers from one prefill, boosting BANKING77 auto-decidable coverage 7.7%→52.0% at ≤5% error.

    GitHubSep 21, 2026
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  2. PSRben/VisionHOPE

    Unlike most vision backbones, it uses self-modifying memory updates and ships checkpoints across classification, detection, and segmentation.

    GitHubSep 27, 2026
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  3. Tier-Flow/LoopVL

    Unlike most model repos, it releases reproducible recurrent VLM evaluation and visual-state analyses across 16 benchmarks.

    GitHubOct 1, 2026
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Top 3 datasets

  1. ScholarCatalyst/ScholarCatalyst

    Unlike topical paper corpora, it benchmarks inspiration retrieval with 894 author-verified positives, hard negatives, and rationales.

    Hugging FaceOct 1, 2026
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  2. allenai/fetchman-data

    352,696 humanoid pickup episodes jointly align language, proprioception, actions, and head+wrist egocentric video.

    Hugging FaceOct 1, 2026
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  3. goodpjw2008/rsna-knee-2-5d-convnext-reader

    Releases end-to-end DICOM inference code and weights for a 0.929 public-LB knee MRI baseline.

    KaggleOct 5, 2026
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The Weekly ML Signal.

Worth your time, not all of your time.

We track new ML work across papers, code, and data, then keep only the pieces worth a closer look. Selected, not collected.

Papers.Data.Code

The Weekly ML Signal

Selected, not collected.

One useful ML email a week: the papers, repos and datasets worth your attention.

Worth your time, not all of your time.