Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Language Development01:22

Language Development

Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
Language01:16

Language

Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
Components of Language01:24

Components of Language

Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs. “eh”). Phonemes combine to...
Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Impact of neoadjuvant chemoradiotherapy on the local recurrence and distant metastasis pattern of locally advanced rectal cancer: a propensity score-matched analysis.

Chinese medical journal·2021
Same author

PSD-93 up-regulates the synaptic activity of corticotropin-releasing hormone neurons in the paraventricular nucleus in depression.

Acta neuropathologica·2021
Same author

Abnormal B-cell development in TIMP-deficient bone marrow.

Blood advances·2021
Same author

Elevated reactivity of Apelin inhibited renal fibrosis induced by chronic intermittent hypoxia.

Archives of biochemistry and biophysics·2021
Same author

The Sunny Side of Negative Feedback: Negative Feedback Enhances One's Motivation to Win in Another Activity.

Frontiers in human neuroscience·2021
Same author

On the Limitations of Visual-Semantic Embedding Networks for Image-to-Text Information Retrieval.

Journal of imaging·2021
Same journal

Observer-based ADP for secure resource allocation in high-order nonlinear multi-agent systems under FDI attacks.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Concept mask-aware pruning and augmentation for few sample model compression.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Hindsight-based state space exploration via counterfactual intrinsic reward assignment.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Integrating visual and language cues via state space models for medical image segmentation.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

DNA: Improving text-based person search through distillation learning, negated relation-aware learning, and augmented representation learning.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

MCFusion-DDI: Multimodal cross-attention fusion of local-global features and latent drug associations for explainable DDI prediction.

Neural networks : the official journal of the International Neural Network Society·2026
See all related articles
  1. Home
  3. Routing Distilled Knowledge Via Mixture Of Lora Experts For Large Language Model Based Bundle Generation.
  1. Home
  3. Routing Distilled Knowledge Via Mixture Of Lora Experts For Large Language Model Based Bundle Generation.

Related Experiment Video

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

Routing distilled knowledge via mixture of LoRA experts for large language model based bundle generation.

Kaidong Feng1, Zhu Sun2, Hui Fang3

  • 1School of Computer Science and Engineering, Yanshan University, Qinhuangdao, 066004, Hebei, China.

Neural Networks : the Official Journal of the International Neural Network Society
|June 16, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

RouteDK efficiently generates product bundles using knowledge distillation from large language models (LLMs). This framework routes distilled knowledge via Low-Rank Adaptation (LoRA) experts, overcoming conflicts and improving accuracy.

Keywords:
Bundle generationKnowledge distillationLarge language modelsLow-rank adaptationMixture of expertsRecommendation

Related Experiment Videos

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

Area of Science:

  • Artificial Intelligence
  • Machine Learning
  • Natural Language Processing

Background:

  • Large Language Models (LLMs) show promise for automatic bundle generation.
  • High computational costs limit LLM applicability.
  • Knowledge distillation offers efficiency but faces knowledge conflict issues.

Purpose of the Study:

  • To develop an efficient framework for bundle generation using distilled knowledge.
  • To address knowledge conflicts in distilled LLMs.
  • To improve the performance and reliability of bundle generation models.

Main Methods:

  • Proposed RouteDK framework using a mixture of Low-Rank Adaptation (LoRA) experts.
  • Distilled high-level and fine-grained knowledge from teacher LLMs.
  • Implemented a dynamic fusion module with an input-aware router for knowledge integration.
  • Introduced an inference-time enhancement module for reliability.

    • Main Results:

    • RouteDK achieved accuracy comparable to or exceeding the teacher LLM.
    • Demonstrated strong computational efficiency.
    • Outperformed state-of-the-art approaches in bundle generation tasks.
    • Effectively mitigated knowledge conflicts through dynamic routing.

    Conclusions:

    • RouteDK offers an effective and efficient solution for bundle generation.
    • The proposed framework successfully integrates diverse distilled knowledge.
    • RouteDK enhances LLM performance and reliability for practical applications.