…We validate TIDE on two realistic settings, personal workspaces and software repositories, across four model backbones, showing substantial gains over single-shot and parallel multi-agent baselines on task coverage , identification , and…
…Specifically, Skill-3D identifies the task scene and records the agent's tool-use trajectory into a Scene Memory , where successful trajectories from similar scenes are aggregated and distilled into a reusable…
…We introduce BraveGuard, a self-evolving defense framework for training guard models from open-world threat signals and realistic agent trajectories . BraveGuard mines recent research sources to identify emerging risks and attack…
Papers arxiv:2605.29411 The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction Published on May 28 Submitted by Shu on Jun 1 Beyond the Blanket Authors: Shu…
…In each evolution round, the module reads per-question failure logs, identifies root causes, and proposes targeted configuration adjustments; a guarded meta-analyzer applies them with automatic revert-on-regression and explore…
…AI-generated summary RLVR and OPD have become standard paradigms for post-training . We provide a unified analysis of these two paradigms in consolidating multiple expert capabilities into a single model, identifying…
…they can be identified by massive activation values along a small set of hidden-state dimensions and are biased toward early graph-token positions. However, this activation-level saliency does not imply…
…AI-generated summary Recent advancements in large audio language models have extended Chain-of-Thought (CoT) reasoning into the auditory domain , enabling models to tackle increasingly complex acoustic and spoken tasks. To…
…MinT provides one infrastructure example for managing adapter identity , revision , provenance , evaluation , and serving residency . Together, the results suggest that PEFT can be a compact substrate for persistent personal models rather than…
…const showNewCheckout = await client.getBooleanValue('new-checkout-flow', false, { targetingKey: 'user-42', plan: 'enterprise', }); }, }; Your evaluation code doesn't change — the OpenFeature interface is identical. But under the hood, Flagship evaluates flags…