GitHub

uqlm: Uncertainty Quantification for Language Models

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
IEEE

Spike-Driven Lightweight Large Language Model With Evolutionary Computation

Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities across various tasks, but their deployment in resource-constrained environments remains challenging due to substantial ...
IEEE

Injecting Multimodal Information Into Pre-Trained Language Model for Multimodal Sentiment Analysis

Abstract: With the increasing availability of computational and data resources, numerous powerful pre-trained language models (PLMs) have emerged for natural language processing tasks. However, how to ...
GitHub

Z80-μLM: A Retrocomputing Micro Language Model

Z80-μLM is a 'conversational AI' that generates short character-by-character sequences, with quantization-aware training (QAT) to run on a Z80 processor with 64kb of ram. The root behind this project ...