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Wind Turbine Maintenance Log Labelling Framework: LLM-Driven Data Correction and Enrichment via Semantic Extraction of Reliability Intelligence

A new framework uses large language models to improve the accuracy of maintenance records for wind t...

Aug 19 🗳️ 0
AI

When to Plan, When to Polish: Noise Level as a Granularity Axis for Diffusion Language Models

Researchers propose a new approach to training language models called Noise Dependent Granularity Co...

Aug 19 🗳️ 0
AI

Can LLMs Reliably Self-Report Adversarial Prefills, and How?

Researchers investigated whether large language models (LLMs) can accurately identify when their pre...

Aug 19 🗳️ 0
AI

DominoTree: Conditional Tree-Structured Drafting with Domino for Speculative Decoding

Researchers have introduced DominoTree, a new method for speculative decoding in large language mode...

Aug 19 🗳️ 0
AI

Expanding the Lexicon of Ge'ez Based African Languages: A Comparative Study of Amharic and Tigrinya

Researchers have developed a new language model called VEXMLM to improve the per...

AI

LexKairos: Benchmarking Legal Temporal Capabilities in LLMs

Researchers have developed a benchmark called LexKairos to evaluate the ability ...

AI

SAEVerbalizer: Generating Explanations for Sparse Autoencoder Features via Representation Verbalization

Researchers have developed SAEVerbalizer, a framework that generates explanation...

AI

RecurrentGPT: Expressive Depth through Recurrent Modulation in Transformers

Researchers have introduced RecurrentGPT, a new type of transformer model that b...

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