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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. TOOL · arXiv cs.AI English(EN) ·

    M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis

    Researchers have developed M3, a system that uses conversational LLMs to simplify access and analysis of complex clinical databases like MIMIC-IV. M3 allows users to query the data using natural language, translating questions into SQL queries for execution. Evaluations showed high accuracy for models like Claude Sonnet 4 and the open-weights gpt-oss-20B, demonstrating the viability of local, privacy-preserving deployment for sensitive medical data. AI

    IMPACT Enables easier access to sensitive clinical data for research, potentially accelerating medical discoveries.

  2. TOOL · arXiv cs.CL English(EN) ·

    Post-Hoc Understanding of Metaphor Processing in Decoder-Only Language Models via Conditional Scale Entropy

    Researchers have developed a new metric called conditional scale entropy (CSE) to analyze how decoder-only language models process metaphors. CSE measures the breadth of computational engagement across different frequency scales within a transformer's layers. Studies using CSE revealed that metaphorical tokens consistently activate a wider range of computational scales compared to literal tokens in models ranging from 124 million to 20 billion parameters, including architectures like GPT-2, LLaMA-2, and GPT-oss. AI

    IMPACT Introduces a novel metric for understanding metaphorical processing in LLMs, potentially aiding in the development of more nuanced language understanding capabilities.