Metric-AI-Lab/less-is-more-embeddings

Domaine:

natural language processing

Type de record:

paper

Créateur:

Met

Hôte:

Official repository for the paper "Less is More: Adapting Text Embeddings for Low-Resource Languages with Small Scale Noisy Synthetic Data" accepted at LoResLM @ EACL 2026. Official repository for the paper **"Less is More: Adapting Text Embeddings for Low-Resource Languages with Small Scale Noisy Synthetic Data"**.

Less is More: Adapting Text Embeddings for Low-Resource Languages with Small Scale Noisy Synthetic Data

Low-resource languages (LRLs) often lack high-quality, large-scale datasets for training effective t

Is Education More Benficial to the Less Able? Econometric Evidence from Ethiopia

The paper investigates whether returns to schooling in Ethiopia vary according to the ability of ind

Less is More: Lean yet Powerful Vision-Language Model for Autonomous Driving

In this work, we reconceptualize autonomous driving as a generalized language and formulate the traj

When less is more: reducing redundancy in mental health and psychosocial instruments using Item Response Theory

Abstract Background There is a need for accurate and efficient assessment tools t

Less Is More: Lower Sowing Rate of Irrigated Tef (Eragrostis tef) Alters Plant Morphology and Reduces Lodging

Tef (Eragrostis tef (Zucc.) Trotter) is a panicle-bearing cereal crop plant, originating from and gr

ZED-AI-Lab/zed-ai-lab-arrant-engines

ZED AI Lab is an open-source AI hub by Arrant Solutions, offering free datasets, models, and tools f