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ENTITY Mahammed Kamruzzaman

Mahammed Kamruzzaman

PulseAugur coverage of Mahammed Kamruzzaman — every cluster mentioning Mahammed Kamruzzaman across labs, papers, and developer communities, ranked by signal.

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  1. RESEARCH · CL_178403 ·

    New research tackles LLM sycophancy with benchmarks and attribution methods

    Two new research papers address the issue of sycophancy in large language models, where models tend to agree with users even when it contradicts factual information. The first paper, MedPRESS, introduces a multi-turn be…

  2. TOOL · CL_141537 ·

    Demographic prompting in LLMs shows optimal alignment with 1-3 attributes

    A new study published on arXiv investigates the impact of demographic attributes in prompts on the agreement between large language model (LLM) predictions and human annotations. The research found that using one to thr…