…In each simulation evaluation run, a clinical agent interacts in closed loop with a patient agent and an environment controller, and its behaviour is scored throughout the encounter against expert criteria specified…
…Jiaqi Wei , , , , , , Qingyun Wang , Abstract Side-by-Side Interleaved Reasoning enables controlled disclosure timing in autoregressive models, improving accuracy and efficiency through interleaved private reasoning and delayed content release. AI-generated summary…
…At inference time, τ_0-WM uses test-time computation to sample action candidates, rank them with re-denoising consistency , and invoke simulator-based rectification for low-quality candidates. On challenging long…
…A deployment-relevant Text2Cypher benchmark therefore reflects the questions users and agents actually ask of that graph. Creating such a benchmark is difficult because schemas and values are unique, and graph structure…
…At retrieval time, SproutRAG uses hierarchical beam search to retrieve candidates at multiple granularities, capturing multi-sentence relevance beyond flat retrieval. The framework is trained end-to-end with a joint objective…
…At test time, the agent reuses relevant skills from this frozen library to help solve new tasks. Experiments in LIBERO-PRO and MolmoSpaces show that play-learned skills improve held-out downstream…
…We introduce MCompassRAG, a metadata-guided retrieval framework that uses topic-level signals as a semantic compass for selecting relevant evidence. Instead of relying only on cosine similarity between queries and noisy…
…Shaping Video Generation Across Time and Space (2026) PixelWizard: Towards Efficient High-Fidelity Video Generation at Ultra-Large Spatial Resolution (2026) Please give a thumbs up to this comment if you found…
…locating relevant code consumes substantial token budget and pollutes the agent's context with irrelevant snippets. In most agents, the same model explores the repository and solves the task, leaving exploratory reads…
…Given a source image, candidate edited images, and an editing instruction, an Orchestrator selects the most relevant subset of tools and skills from the maintained library, and a frozen Sub-Agent uses…