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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) ·

    DrugRAG: Enhancing Pharmacy LLM Performance Through A Novel Retrieval-Augmented Generation Pipeline

    Researchers have developed DrugRAG, a novel retrieval-augmented generation pipeline designed to enhance the performance of large language models (LLMs) on pharmacy-related question-answering tasks. In their study, they evaluated ten LLMs, finding that GPT-5 and o3 performed best on a 141-question dataset. DrugRAG, which integrates structured drug information without altering model architecture, significantly improved accuracy across several models, particularly smaller open-source ones, by up to 21 percentage points. AI

    IMPACT Provides a practical method to enhance LLM accuracy for specialized knowledge domains like pharmacy.

  2. RESEARCH · arXiv cs.CL English(EN) · · [2 sources]

    Findings of the Fifth Shared Task on Multilingual Coreference Resolution: Expanding Datasets for Long-Range Entities

    Researchers achieved first place in the LLM track of the 2026 Computational Models of Reference, Anaphora and Coreference (CRAC 2026) shared task with a system that ranked third overall. Their approach, based on the Gemma-3-27b model, employed a two-stage adaptation strategy. This method proved effective across various languages and document complexities, achieving a 74.32 CoNLL F1 score. AI

    IMPACT Advances in multilingual coreference resolution could improve the performance of downstream NLP tasks like summarization and question answering.