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

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

392
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
392
Types of Selection01:46

Types of Selection

43.9K
Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...
43.9K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

5.1K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
5.1K
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

3.8K
Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
3.8K
Self-Schemas02:16

Self-Schemas

35.4K
In general, a schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
35.4K
Schemas01:42

Schemas

12.3K
A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
12.3K

You might also read

Related Articles

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

Sort by
Same author

"Drug-Delivering-Drug" nanocomplexes reinforce cytosolic nucleic acid sensing for broad-spectrum antiviral activity in fish.

Journal of nanobiotechnology·2026
Same author

EDSF-Net : An enhanced dynamic spatiotemporal-frequency attention network for robust EEG decoding in motor imagery.

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

Breaking the Depth Barrier in Motor Imagery Classification via a Residual Depthwise-Separable Network.

IEEE transactions on cybernetics·2026
Same author

Enhancing Target Recognition Performance in SSVEP-Based Brain-Computer Interfaces via Deep Neural Networks With Pyramid Squeeze Attention.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

BR-SFDA: A Source-Target Bidirectional Refined SFDA for Privacy Preserving EEG-based BCIs.

IEEE journal of biomedical and health informatics·2026
Same author

Global lactylation is downregulated despite lactate accumulation: lactylome data and functional insights during ISKNV infection.

Fish & shellfish immunology·2026

Related Experiment Video

Updated: Jan 16, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.3K

Adaptive knowledge selection in dialogue systems: Accommodating diverse knowledge types, requirements, and generation

Yao Zhang1, Lang Qin2, Zhongtian Bao2

  • 1School of Statistics and Data Science, LPMC, KLMDASR & AAIS, Nankai University, China.

Neural Networks : the Official Journal of the International Neural Network Society
|September 30, 2025
PubMed
Summary

This study introduces ASK, an adaptive knowledge pre-selection method for dialogue systems. ASK improves knowledge selection for large language models, enhancing response generation and reducing computational costs.

Keywords:
Knowledge graphKnowledge selectionKnowledge-grounded dialogue system

More Related 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

1.0K

Related Experiment Videos

Last Updated: Jan 16, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.3K
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

1.0K

Area of Science:

  • Natural Language Processing
  • Artificial Intelligence
  • Dialogue Systems

Background:

  • Effective knowledge-grounded dialogue systems require accurate knowledge selection.
  • Current pre-selection methods struggle with diverse knowledge types, contextual requirements, and varying generation models.

Purpose of the Study:

  • To propose ASK, an adaptive knowledge pre-selection method to address existing challenges.
  • To unify diverse knowledge types and adapt to different dialogue contexts and generation models.
  • To optimize knowledge selection for improved response generation in dialogue systems.

Main Methods:

  • ASK unifies various knowledge types, scoring relevance and contribution for desired responses.
  • It adapts the knowledge pool size for optimal input to generation models.
  • A reinforcement learning framework is employed, using rewards for quality and quantity of selected knowledge.

Main Results:

  • ASK demonstrates excellent knowledge selection across diverse types and requirements.
  • Performance is significantly enhanced for downstream models like ChatGPT and GPT-4o.
  • ASK provides a lightweight improvement, reducing computational consumption by 40%.

Conclusions:

  • ASK effectively addresses challenges in knowledge pre-selection for dialogue systems.
  • The method enhances various generation models and offers significant computational savings.
  • ASK represents a promising advancement in building more efficient and capable knowledge-grounded dialogue systems.