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LLMs & Foundation Models· 2026-10-14#GameSmith#Zero-Sum#Self-Play#Reinforcement Learning#Qwen3
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arXiv introduces GameSmith, a novel framework for scaling zero-sum self-play in training l…
LLMs & Foundation Models· 2026-10-14
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arXiv introduces Posterior Flow Matching (PFM), a novel generative modeling framework that…
Agentic· 2026-10-14
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arXiv introduces a novel approach to self-evolving agents with the Invertible Improvement …
LLMs & Foundation Models· 2026-10-14
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arXiv introduces DoSA (Dots Sparse Attention), a novel sparse attention mechanism that enh…
LLMs & Foundation Models· 2026-10-14
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PRIME is an innovative unified optimization framework for compressing Mixture-of-Experts (…
Research & Papers· 2026-10-14
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MRFlow is a novel model for virtual cell perturbation prediction that treats cellular resp…
LLMs & Foundation Models· 2026-10-14
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arXiv has released a research paper introducing LACRM (LLM-driven Advertiser Competition R…
Agentic· 2026-10-14
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Google DeepMind and Singapore's GovTech have collaborated to develop a lightweight AI scam…
LLMs & Foundation Models· 2026-10-14
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arXiv has released a study on privacy leakage in large language model (LLM) agents, introd…
Agentic· 2026-10-14
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arXiv introduces a novel intermediate architecture that combines cloud-written programs wi…
LLMs & Foundation Models· 2026-10-14
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arXiv introduces MOSAIC, a novel method for explaining vision-language model (VLM) predict…
Research & Papers· 2026-10-14
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A new study published on arXiv explores whether model-free reinforcement learning algorith…
