Author

Reuben Tan

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Preprint Sep 2026

Rho: A Foundation for Efficiently Adaptable VLA Models

General-purpose physical AI models must combine broad visual and linguistic capabilities with precise control across robot embodiments and efficient adaptation to downstream tasks. We introduce Rho, a family of open-weights VLA models for bimanual manipulation designed for data-light task adaptation on 3 embodiments re...

Rho Team Simran Bagaria, Daphne Chen, Dean Fortier et al. · 0 citations

#artificial intelligence Preprint Sep 2026

MindTopo: Can Foundation Models Reason in Topological Space?

This work introduces MindTopo, a benchmark of topological intuition across five properties grounded in cognitive science and formal topology: continuity, separation, order, enclosure, and knots, which performs better on reasoning than on planning, and the best-performing model remains far below observed human performan...

Yun-Fei Ge, An-Bang Liu, Qineng Wang et al. · 0 citations

#machine learning Jul 2026

ReToken: One Token to Improve Vision-Language Models for Visual Retrieval

ReToken is a single learnable embedding trained as an explicit retrieval target that selects a sparse set of query-relevant visual tokens from a pre-filled visual KV cache that yields consistent gains across image and video benchmarks.

Yao Xiao, Reuben Tan, Zhen Zhu et al. · arXiv.org · 0 citations