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diem

hrtan/diem

[CVPR-2026] The PyTorch Implementation of DIEM. The algorithms are based on our paper: "Dynamic Important Example Mining for Reinforcement Finetuning". - GitHub - hrtan/DIEM: [CVPR-2026] The PyTorch Implementation of DIEM. The algorithms are based on our paper: "Dynamic Important Example Mining for Reinforcement Finetuning".

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hrtan

fastmix

[ICLR-2026] The PyTorch Implementation of FastMix. The algorithms are based on our paper: "Fast Data Mixture Optimization via Gradient Descent". FastMix is designed to rapidly identify optimal data mixing ratios for large language models (LLMs). - GitHub - hrtan/fastmix: [ICLR-2026] The PyTorch Implementation of FastMix. The algorithms are based on our paper: "Fast Data Mixture Optimization via Gradient Descent". FastMix is designed to rapidly identify optimal data mixing ratios for large language models (LLMs).

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alayalab

evoke

Official implementation of EVOKE: Endless Interactive World with Bounded State and Long-Horizon Supervision. A three-step, CFG-free interactive world model. SOTA on WBench. - GitHub - AlayaLab/Evoke: Official implementation of EVOKE: Endless Interactive World with Bounded State and Long-Horizon Supervision. A three-step, CFG-free interactive world model. SOTA on WBench.

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boschresearch

memorydrivor

The official implementation of "Driving on Memory" by Löwens et al. - GitHub - boschresearch/MemoryDrivoR: The official implementation of "Driving on Memory" by Löwens et al.

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