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

  1. RESEARCH · Hugging Face Daily Papers English(EN) · · [2 sources]

    Crafter: A Multi-Agent Harness for Editable Scientific Figure Generation from Diverse Inputs

    Researchers have developed Crafter, a multi-agent system designed to automate the creation of scientific figures from various inputs. This system addresses the limitations of existing tools that are often restricted to single figure types and text-only inputs. Crafter is complemented by CraftEditor, which converts raster outputs into editable SVGs, and CraftBench, a new benchmark for evaluating figure generation quality. Experiments indicate that Crafter significantly outperforms previous methods and agentic baselines. AI

    IMPACT Automates a labor-intensive part of scientific publishing, potentially accelerating research dissemination and improving figure quality.

  2. TOOL · arXiv cs.AI English(EN) ·

    S3Mem: Structured Spatiotemporal Scene-Event Memory for Long-Horizon Interactive Question Answering

    Researchers have introduced S3MEM, a novel memory framework designed to improve long-horizon interactive question answering for AI agents. Traditional methods struggle with large trajectory histories, often retrieving incomplete evidence. S3MEM addresses this by structuring memory units and employing anchor-sensitive retrieval, creating a more efficient interface for inference. Evaluations on multiple environments show S3MEM consistently outperforms standard RAG and matches or exceeds other advanced memory systems while using significantly fewer tokens. AI

    IMPACT This structured memory approach could lead to more capable AI agents that can reliably recall and reason about past events in complex, long-term interactions.