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直接匹配不多,已補上最新動態。

Tag: #graph-databases1 results

Text2GQL-Bench: New Graph Query Benchmark

Text2GQL-Bench: New Graph Query Benchmark

Text2GQL-Bench introduces a unified benchmark for Text-to-Graph-Query-Language systems with 178,184 question-query pairs across 13 domains and multiple GQLs. It features a scalable dataset generation framework and a multi-metric evaluation including grammatical validity, similarity, semantic alignment, and execution accuracy. Evaluations show LLMs struggle with ISO-GQL, achieving only 4% zero-shot execution accuracy, improving to 50% with 3-shot prompting and 45.1% with fine-tuning.

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影像解析度會改變模型的類腦評估結果

一篇預印本指出,在 V1 比較中,評估影像解析度會大幅改變哪種 CNN 學習規則看起來最接近人腦。研究涵蓋六種影像解析度,發現未訓練模型在 V1 的表面優勢很大程度上是評估解析度造成的,而 backpropagation 在 LOC 仍保有優勢。

Reddit r/MachineLearningCommunity2h ago#visual-cortex#rsa