#Qwen3.6-35B-A3B

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Stories, products and papers tagged "Qwen3.6-35B-A3B", newest first.
10月14日
ModelsUS vs ChinaSelected22:42
Liquid AI open-sources LFM2.5-24B-A2B with 2B active parameters

The 2B active-parameter design targets efficiency over raw capability, so the interesting question is how it trades benchmark rank for cheaper inference against larger dense models. Developers running edge or high-throughput deployments can evaluate the weights directly from the release link. The comparison with Qwen gives a concrete starting point for choosing between the two families.

Gorden Sun@Gorden_SunSource
10月12日
PapersBuildersSelected09:31
KnowForge Multimodal Document QA System

The separation of search and reading tasks in KnowForge demonstrates a 1.9 F1 improvement over unified approaches, showing that specialized agents outperform generalist models in multimodal QA. Researchers and developers can access the system through the GitHub repository and three indexed benchmarks, making it a practical tool for document analysis tasks that require both information retrieval and comprehension.

arXiv: DeepSeek@Wenlin Lin, Fanzhe WeiSource
9月30日
PapersBuildersSelected09:37
CTE-Bench for Stateful Software Simulators

This benchmark reveals critical limitations in current AI models' understanding of stateful systems, showing they struggle to track intervention effects without continuous correct feedback. Developers building coding assistants should note that models make compounding errors over time, highlighting the need for robust error handling and state management in AI systems.

Event
arXiv: DeepSeek@Xinran Zhang2 sourcesSource
9月7日
9月3日