We have 3 of 17 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Data-centric scaling of RLVR has focused on collecting or generating verifiable training problems. However, corpus size alone does not determine whether the dataset provides a useful learning signal for a target policy. To guide the synthesis of effective RLVR data, we experimentally characterize dataset effectiveness...
This paper introduces a simple post-training recipe that turns off-the-shelf VLMs into robotic reasoners, and suggests that free-form language reasoning can function as a test-time compute mechanism for steering low-level policies.
Modality-Informed Reciprocal Reasoning Optimization (MIRROR), a reinforcement learning approach for improving multimodal reasoning via self supervision, is developed and improves over standard RL and yields more accurate and consistent behavior across modalities.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
