3 papers indexed here
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.
This paper proposes a novel training-free framework to achieve efficient reasoning that reduces token generation costs without sacrificing performance, and investigates the latent representations and proposes a novel training-free framework.
GeoTrussRover combines an electrically actuated VGT, a wheeled base, and contact-semantic morphology planning and control, which stores task coordination in a hyper-redundant, load-bearing morphology and reuses it during locomotion.
This paper presents an empirical study of data efficiency and data selection in OPD, and proposes a simple data selection method that selects only hard examples for training, where even"unsolvable"examples that completely exceed the teacher's capability can be successfully used.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
