Papers.Data.Code
The Weekly ML Signal
Selected, not collected.
Weekly edition · Sep 07 – Sep 13 · Issue #4
Open systems, executable data
World models, exact decoding, and executable workflows with verified data.
Top 3 papers
- DriveZero: End-to-End Driving Beyond Human Demonstrations→
Unlike imitation-heavy driving papers, it reaches 95.3 PDMS camera-only without human trajectory supervision.
- Scaling Automatic Research Agents via World Models→
Uses learned world-model rewards with anchor-based bias correction, cutting RL training 3-4×.
- LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes→
Uses mostly real image-only pretraining, then frozen dLLM conditioning and 2-4-step distillation.
Top 3 repos
- OpenWAM-Official/OpenWAM→
Unlike single-purpose world-model repos, it releases an open modular WAM stack and pretrained checkpoints trained on 518.5M frames.
- Instituto-IA-LNCC/manaca-1b-base→
Unlike most LLM releases, it is fully reproducible end-to-end on 2×24GB GPUs.
- ifm-ai/uno→
Unlike speculative decoding repos, it parallelizes exact multi-token sampling without a draft model.
Top 3 datasets
- openbmb/UltraData-Code→
Unlike typical code corpora, it pairs 400B scored algorithmic code tokens with 150B implementation-grounded exercise records across 11 languages.
- spatialverse/UniPhys-Bench→
Unlike typical 3D asset sets, it unifies human-verified kinematics, part physics, and object mass/scale on 1,927 simulation-ready articulated objects.
- tencent/OSWorkerBench→
Unlike prior GUI datasets, it pairs 100 executable office workflows with step-level demonstrations.
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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.