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Incentivized Collaboration in Active Learning
arXiv:2311.00260v2 Announce Type: replace Abstract: In collaborative active learning, where multiple agents try to learn labels from a common hypothesis, we introduce an innovative framework for incentivized collaboration. Here, rational agents aim to obtain labels for their data sets while keeping label complexity at a minimum. We focus on designing (strict) individually rational (IR) collaboration protocols, ensuring that agents cannot reduce their expected label complexity by acting...
Don’t compete, collaborate: why collective funding applications are the future
Nature, Published online: 09 June 2026; doi:10.1038/d41586-026-01815-yScientists with disparate expertise writing grants together can identify knowledge gaps and drive progress — but systems must change to incentivize them.
Policy Split: Incentivizing Dual-Mode Exploration in LLM Reinforcement with Dual-Mode Entropy Regularization
arXiv:2604.11510v2 Announce Type: replace Abstract: To encourage diverse exploration in reinforcement learning (RL) for large language models (LLMs) without compromising accuracy, we propose Policy Split, a novel paradigm that bifurcates the policy into normal and high-entropy modes with a high-entropy prompt. While sharing model parameters, the two modes undergo collaborative dual-mode entropy regularization tailored to distinct objectives. Specifically, the normal mode optimizes for task...
Leiden Declaration on Artificial Intelligence and Mathematics
Declaration text Leiden Declaration on Artificial Intelligence and Mathematics Preamble Technological developments have repeatedly transformed the practice of mathematics. Recent artificial intelligence technologies, including symbolic and neural methods for the generation and formalization of mathematics, may already have initiated a significant chapter in this long history. Among researchers, artificial intelligence has produced a wide range of reactions: enthusiasm for its potential to...
Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models
arXiv:2605.15706v2 Announce Type: replace Abstract: Recent advances in Large Language Models (LLMs) have catalyzed the development of multi-agent systems (MAS) for complex reasoning tasks. However, existing MAS typically rely on pre-defined or pre-compiled communication topologies, which limits their flexibility and adaptability to dynamic task requirements. In this work, we propose Differentiable Mixture-of-Agents (DMoA), a self-evolving multi-agent framework that enables elastic and...
Dozens of mathematicians sign declaration against AI; say maths should remain a human endeavour
Dozens of mathematicians signed a declaration Tuesday calling for the discipline to resist beating the drum for artificial intelligence developers. The researchers warn that AI is putting fundamental values of the discipline under threat. The rise of AI is forcing mathematics to rethink what makes their field reliable and valuable.
The back-channel bid to go soft on Maduro
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CNBC's The China Connection newsletter: Humanoid robots are great, but they need buyers too
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