Browsing: Mixture

A Library for comprehensive benchmarking Mixture of Experts in Large Language Models

February 12, 2026

[Submitted on 1 Nov 2024 (v1), last revised 10 Feb 2026 (this version, v4)] View a PDF of the paper…

Tighnari v2: Mitigating Label Noise and Distribution Shift in Multimodal Plant Distribution Prediction via Mixture of Experts and Weakly Supervised Learning

February 11, 2026

arXiv:2602.08282v1 Announce Type: cross Abstract: Large-scale, cross-species plant distribution prediction plays a crucial role in biodiversity conservation, yet modeling efforts…

Scaling Mobility Foundation Models with Spatially-Aware Mixture of Experts

November 25, 2025

[Submitted on 24 May 2025 (v1), last revised 24 Nov 2025 (this version, v3)] View a PDF of the paper…

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