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ENTITY Specialized Anti-Corruption Prosecutor's Office

Specialized Anti-Corruption Prosecutor's Office

PulseAugur coverage of Specialized Anti-Corruption Prosecutor's Office — every cluster mentioning Specialized Anti-Corruption Prosecutor's Office across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 7 TOTAL
  1. RESEARCH · CL_209136 ·

    Ukraine probes Zelenskyy's office for corruption amid Russia conflict

    Ukraine's National Anti-Corruption Bureau and the Specialized Anti-Corruption Prosecutor's Office are investigating senior officials within President Volodymyr Zelenskyy's office for alleged involvement in a criminal or…

  2. RESEARCH · CL_205655 ·

    New RL methods boost generative recommendation systems · 2 sources tracked

    Two new research papers, SAPO and HCGRec, introduce novel reinforcement learning techniques to improve generative recommendation systems. These methods address the challenge of sparse rewards in large-catalog recommenda…

  3. RESEARCH · CL_195933 ·

    New research explores modular and recursive methods for automatic prompt optimization

    Two new research papers introduce novel methods for optimizing prompts used with large language models. The first, SAPO, breaks down prompts into segments like role, context, and task, allowing for targeted improvements…

  4. TOOL · CL_128794 ·

    New ACPO framework enhances reinforcement learning for LLMs

    Researchers have introduced Adaptive Credit Policy Optimization (ACPO), a new framework designed to improve credit assignment in reinforcement learning for large language models. ACPO addresses the challenge of sparse r…

  5. RESEARCH · CL_65829 ·

    New methods enhance LLM fine-tuning efficiency and robustness

    Researchers have developed new methods to improve the efficiency and robustness of fine-tuning large language models. One approach, Learnable Rank LoRA (LR-LoRA), dynamically adjusts the rank of adapters for different l…

  6. RESEARCH · CL_56108 ·

    DREAM-R framework boosts multimodal speculative reasoning efficiency

    Researchers have introduced DREAM-R, a novel framework designed to enhance speculative reasoning in large multimodal models. This system utilizes a reinforcement learning objective called Speculative Alignment Policy Op…

  7. RESEARCH · CL_28385 ·

    Ukraine arrests Zelensky aide in $10.5M money laundering probe

    Ukraine has arrested Andriy Yermak, a former top aide to President Volodymyr Zelensky, on charges of money laundering. The investigation involves an alleged scheme totaling 460 million hryvnias (US$10.5 million). Yermak…