We have 9 of 25 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.
The introduction of OfficeTown, a generative simulation framework for professional organizations in which tasks and their context arise from continuing organizational work, highlights the value of organizational simulation in generating work-grounded data and environments for the continued development of generalist age...
Mobile manipulation requires precise navigation to a manipulation-ready pose followed by reliable object interaction. These two stages differ in action spaces and visual requirements, which complicates unified policy learning. In addition, collecting diverse real-world navigation data with explicit manipulation-ready p...
Building omni-modal models with physical intelligence requires fine-grained supervision that captures physical evidence such as contact, support, deformation, and state transitions. However, existing omni-modal captioners primarily model general audiovisual semantics and often overlook transient or spatially localized...
INSPIRE, a benchmark for evaluating agents that search prior literature to make progress on solution-redacted research problems, enables both end-to-end comparison and stage-resolved diagnosis in a setting where the agent must construct its own working criterion of relevance.
OmniFysics-Nano-V2, a compact omni-modal model for physical-world perception and understanding, is presented and experiments show that the proposed data and training strategy improves physical-world understanding while preserving broad omni-modal competence.
ReDeck is proposed, a step-level render-grounded refinement framework that decomposes slide revision into atomic edit actions and returns renderer-derived observations after each step, turning refinement into"one edit, one observation."
XL-DocBench is introduced, a fully human-verified benchmark for extra-long document understanding, with 1,519 retained questions from six professional domains and contexts up to 2,303 pages, and fills a gap left by prior single-page, short multi-page, or text-only long-context benchmarks.
DocAtlas is presented, a system that treats long-document understanding as a mutable-state information-seeking process and instantiate DocAtlas as a mutable document harness: an external environment that determines what document information is searched, read, stored, reviewed, and shown to the model at each step.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
