…To evaluate SWM, we introduce a benchmark, SWM-bench, derived from real-world prediction markets , specifically Kalshi and Polymarket . SWM-bench includes over 12k data points for social belief prediction tasks spanning…
…Extensive evaluation against diverse strong baselines on held-out experiments demonstrates the effectiveness, generalization, and interpretability of our framework, supporting its potential as a practical and general solution for scalable real-world…
…We evaluate Hide-and-Seek on LIBERO, VLABench, and a real-world robotic platform across three representative VLA policies: OpenVLA , π_0, and π_{0.5}.Our method achieves state-of-the…
…Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World Tasks (2026) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any…
…Since real-world interaction is inherently object-centric, such models remain closer to passive scene observers than truly manipulable environments. We present WorldCraft, a framework that expands interactive video world models from…
…real-world industrial sensor data from two device types show that Chronos-2 features consistently improve over recurrent, convolutional, Transformer-based, and gradient-boosting baselines under the same preprocessing and evaluation protocol…
…To address the challenge of providing stable supervision for real-world multimodal generation, we introduce the Decompositional Verifiable Reward (DVReward). Unlike holistic scalar rewards, DVReward utilizes an LLM to decompose complex user…
…Evaluations on video generation, real-world VQA, and GUI navigation confirm that DataClaw_0 delivers high-information-density tailored data, facilitating efficient model adaptation to new tasks under limited training data regimes…
…However, real-world applicability has stalled because their outputs are misaligned with the needs of users, such as professors, who are presented with a numeric score that has no attached explanation. We…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Existing instruction-based video editing datasets commonly focus on single-task appearance editing, failing to meet the complex creative demands of real-world scenarios…