arXiv:2603.22379v1 Announce Type: new Abstract: Adapters are often selected and deployed based on nominal labels (e.g., instruction-tuned), which implicitly suggest what capability improves after adaptation. We test whether nominal training objectives reliably align with realized cross-task capability gains by evaluating the same LoRA adapter across tasks. Our strongest evidence is tied to strict, automatically verifiable instruction following as measured by IFEval: across multiple seeds, base models, and LoRA settings, nominal labels recurrently but not universally fail to predict […]

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arXiv:2602.00966v1 Announce Type: new Abstract: Multi-agent large language model systems can tackle complex multi-step tasks by decomposing work and coordinating specialized behaviors. However, current coordination mechanisms typically rely on statically assigned roles and centralized controllers. As agent pools and task distributions evolve, these design choices lead to inefficient routing, poor adaptability, and fragile fault recovery capabilities. We introduce Symphony-Coord, a decentralized multi-agent framework that transforms agent selection into an online multi-armed bandit problem, enabling roles to emerge organically […]

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arXiv:2602.03165v1 Announce Type: cross Abstract: Importance sampling is a Monte Carlo method which designs estimators of expectations under a target distribution using weighted samples from a proposal distribution. When the target distribution is complex, such as multimodal distributions in highdimensional spaces, the efficiency of importance sampling critically depends on the choice of the proposal distribution. In this paper, we propose a novel adaptive scheme for the construction of efficient proposal distributions. Our algorithm promotes efficient exploration of the […]

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hi, i’m trying to train a custom quadruped robot in mjlab using RL, I’m stuck after the robot definition phase. can someone help me with resources for doing this? would be really helpful if there’s a github repo or any youtube videos about this thank you so much 🙂 submitted by /u/blueberries_jpeg [link] [comments]

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CLIP is a single thermometer taped to the outside of a house. It tells you something about the temperature, but it can’t tell you whether the furnace is on, whether a window is open, or whether the house is on fire in the kitchen. In my pipeline, CLIP-only ranking produced the same kind of failure: candidates that “looked similar” in embedding space but violated constraints that mattered for continuity. (See Radford et al. for the original CLIP formulation […]

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Let’s learn about Future Of Finance via these 230 free blog posts. They are ordered by HackerNoon reader engagement data. Visit the Learn Repo or LearnRepo.com to find the most read blog posts about any technology. The future of finance is here. 1. Spray, Pray, and Go Away: Investing is an Art It is the knowledge that I’m going to die that creates the focus that I bring to being alive. The urgency of accomplishment. 2. The Fed’s […]

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Meta appears ready to launch its next generation AI model after Avocado, codenamed Watermelon, and claims it matches the performance of OpenAI’s GPT 5.5. Reports say Watermelon AI will be Meta’s flagship model, built for advanced reasoning, coding, instruction following, and agentic tasks; basically, an AI that can handle complex and multi step jobs with very little help from humans. The model has not been officially launched yet, but these claims have caught some attention. Meta seems to […]

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