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Found 6 papers, 2 papers with code
Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models
Recent advancements in large language models (LLMs) have underscored their importance in the evolution of artificial intelligence.
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
To mitigate the annotation cost of SFT and circumvent the computational bottlenecks of active learning, we propose using experimental design.
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
Yet, while the literature on the trustworthiness of GPT models remains limited, practitioners have proposed employing capable GPT models for sensitive applications such as healthcare and finance -- where mistakes can be costly.
Systematic Analysis of Biomolecular Conformational Ensembles with PENSA
PENSA implements various methods to systematically compare the distributions of these features across ensembles to find the significant differences between them and identify regions of interest.
Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization
Quantum neural networks are promising for a wide range of applications in the Noisy Intermediate-Scale Quantum era.
A Simple and Scalable Tensor Completion Algorithm via Latent Invariant Constraint for Recommendation System
In this paper we provide a latent-variable formulation and solution to the recommender system (RS) problem in terms of a fundamental property that any reasonable solution should be expected to satisfy.
