Tag: natural language processing
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ROSE: Intent-Centered Metric for Accurate NL2SQL Evaluation
Discover ROSE, an intent-focused metric improving NL2SQL evaluation by prioritizing semantic accuracy over syntax for reliable SQL query assessments.
Latent Planning in Large Language Models Scales Up
Explore how latent planning abilities improve as large language models grow, enhancing their task handling and contextual coherence.
Optimizing LLMs for Low-Resource Languages: Hausa & Fongbe
Explore effective strategies to mine large language models for Hausa and Fongbe, enhancing data extraction for low-resource languages using GPT-4o Mini and...
SCRIPT: Enhancing Korean PLMs with Subcharacter Injection
Discover SCRIPT, a module that boosts Korean pre-trained language models by injecting subcharacter compositional knowledge for better NLP performance.
INDOTABVQA: Cross-Lingual Table VQA Benchmark for Bahasa
Explore INDOTABVQA, a benchmark for cross-lingual table understanding in Bahasa Indonesia documents, enhancing Vision-Language Models' accuracy.