…View arXiv page View PDF Project page GitHub 28 Add to collection Community OpenWebRL presents a fully open framework for training visual web agents with online multi-turn reinforcement learning on real…
…View arXiv page View PDF GitHub 14 Add to collection Community ExpRL: Exploratory RL for LLM Mid-Training What if reference solutions could prime a model for RL without ever being shown…
…View arXiv page View PDF GitHub 0 Add to collection Community Excited to share CIPER (Cross-view Image-retrieval and Pose-estimation transformER)! Cross-view geo-localization—locating a ground image via…
…to collection Community ExoActor provides a scalable approach to modeling interaction-rich humanoid behaviors, potentially opening a new avenue for generative models to advance general-purpose humanoid intelligence. Feedback is very welcome…
…practitioners iteratively propose, implement, evaluate, and revise data policies against noisy benchmark feedback. We ask whether generalist coding agents can automate this data-curation loop . We introduce *Curation-Bench*, an agent-centric…
…View arXiv page View PDF GitHub 628 Add to collection Community 🔥 Introducing Harness-1 🔥 Harness-1 is a 20B open search agent trained with state-externalizing harnesses , matching or outperforming several much…
…View arXiv page View PDF Project page GitHub 6 Add to collection Community Static benchmarks are rapidly saturating as frontier LLMs improve. On LiveCodeBench, frontier models now exceed 99% Pass@1 on…
…https://be2rlab.github.io/radio_vipe View arXiv page View PDF Project page GitHub 125 Add to collection Community We present RADIO-ViPE (Reduce All Domains Into One — Video Pose Engine), an…
…View arXiv page View PDF Project page GitHub 52 Add to collection Community -- Your medical AI agent didn't fail because it lacked medical knowledge. It failed because it didn't verify…
…View arXiv page View PDF Project page GitHub 23 Add to collection Community Video large language models (Video-LLMs) have demonstrated strong capabilities in video understanding tasks. However, their practical deployment is…