…We release model weights, training code, and complete training data. Project page: https://allenai.org/blog/molmoact2 View arXiv page View PDF Project page GitHub 557 Add to collection Community Vision-Language…
…On OmniClean , we evaluate OmniBoost, a three-stage post-training recipe based on Qwen2.5-Omni-3B : mixed bi-modal SFT , mixed-modality RLVR , and SFT on self-distilled data. Balanced bi…
…AI-generated summary Federated learning (FL) is a distributed machine learning method where multiple devices collaboratively train a model under the management of a central server without sharing underlying data. One of…
…Fei Bai , , Shuang Sun , Daixuan Cheng , , , Renyuan Li , , , , , , Abstract ClawGym presents a scalable framework for developing Claw-style personal agents with synthetic training data, verified workspaces, and benchmark evaluation. AI-generated summary…
…On top of this harness, On-policy Data Evolution (ODE) runs a closed-loop data generator that refines itself across rounds from rollouts of the policy being trained. This per-round refinement…
…AI-generated summary Reinforcement learning (RL) has become a central post-training tool for improving the reasoning abilities of large language models (LLMs). In these systems, the rollout, the trajectory sampled from…
…Ruowen Zhao , , Zuyan Liu , , , , , , Xumin Yu , , , Abstract GEM is a vision-language model that integrates depth map generation during pre-training to improve embodied intelligence and physical operation capabilities in robotics. AI…
…Derived from 49 high-quality, open-licensed corpora spanning 12 diverse domains, IntentGrasp is constructed through source datasets curation, intent label contextualization, and task format unification. IntentGrasp contains a large-scale training…
…Will the team plan on releasing them? · We released all the datasets we used for training in SmolTalk2 . The dataset card details which datasets were generated using Qwen3-32B. I've been…
…AI-generated summary We present MindLab Toolkit (MinT), a managed infrastructure system for Low-Rank Adaptation ( LoRA ) post-training and online serving . MinT targets a setting where many trained policies are produced…
