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

  1. ConvMemory v2: A Recall-Preserving Top-10 Evidence Reranker for Conversational Memory Retrieval

    Researchers have introduced ConvMemory v2, an advanced reranker designed to improve conversational memory retrieval. This system refines the top candidate memories identified by a previous version, ConvMemory v1, by reordering them to enhance recall. On the LoCoMo benchmark, ConvMemory v2 significantly boosted full MRR from 0.5824 to 0.6560 and H@1 from 0.4440 to 0.5474, nearly closing the gap with more computationally intensive methods. AI

    IMPACT Enhances conversational AI by improving memory recall accuracy, potentially leading to more coherent and context-aware interactions.