World PulseNow
Newsletter

Adapter-state Sharing CLIP for Parameter-efficient Multimodal Sarcasm Detection

arXiv — cs.CL•Thursday, October 30, 2025 at 4:00:00 AM
PositiveArtificial Intelligence
A new approach called AdS-CLIP is being introduced to tackle the challenges of detecting sarcasm in multimodal content on social media. Traditional methods require extensive resources for fine-tuning large models, which isn't feasible for many users. AdS-CLIP aims to improve efficiency by sharing adapter states, making it easier to adapt to different tasks without the need for full model retraining. This innovation is significant as it could enhance the accuracy of opinion mining systems, allowing them to better understand and interpret sarcasm, a common yet complex form of communication.
— Curated by the World Pulse Now AI Editorial System
Read Original

Was this article worth reading? Share it

Recommended Readings
Saudi Arabia's 'Sky Stadium' for FIFA 2034: Is the 46,000-Seat Arena Floating 350m in the Air Real or Just AI Fantasy?
International Business Times2 hours ago
Saudi Arabia's 'Sky Stadium' for FIFA 2034: Is the 46,000-Seat Arena Floating 350m in the Air Real or Just AI Fantasy?
NeutralArtificial Intelligence
Saudi Arabia's NEOM Stadium, set to host the 2034 FIFA World Cup, is a genuine project, but the floating 'Sky Stadium' version circulating on social media is not real. This distinction is important as it highlights the innovative architectural plans for the World Cup while also addressing the misconceptions that can arise from viral content. Understanding the actual developments helps fans and stakeholders engage with the event more accurately.
Read full article
via International Business Times
Caption-Driven Explainability: Probing CNNs for Bias via CLIP
arXiv — cs.CV9 hours ago
Caption-Driven Explainability: Probing CNNs for Bias via CLIP
PositiveArtificial Intelligence
A recent study highlights the importance of explainable artificial intelligence (XAI) in enhancing the robustness of machine learning models, particularly in computer vision. By utilizing saliency maps, researchers can identify which parts of an image influence model decisions the most. This approach not only aids in understanding model behavior but also addresses potential biases, making AI systems more reliable and trustworthy. As AI continues to integrate into various sectors, ensuring transparency and fairness is crucial for user confidence and ethical deployment.
Read full article
via arXiv — cs.CV
Consistency of Responses and Continuations Generated by Large Language Models on Social Media
arXiv — cs.CL9 hours ago
Consistency of Responses and Continuations Generated by Large Language Models on Social Media
NeutralArtificial Intelligence
A recent study explores the emotional consistency and semantic coherence of large language models (LLMs) in social media contexts. Researchers examined how models like Gemma, Llama3, and Claude respond to emotional content and maintain meaning in their responses. Understanding these capabilities is crucial as LLMs become more integrated into online interactions, impacting how we communicate and engage on social platforms.
Read full article
via arXiv — cs.CL
Seeing, Signing, and Saying: A Vision-Language Model-Assisted Pipeline for Sign Language Data Acquisition and Curation from Social Media
arXiv — cs.CL9 hours ago
Seeing, Signing, and Saying: A Vision-Language Model-Assisted Pipeline for Sign Language Data Acquisition and Curation from Social Media
PositiveArtificial Intelligence
A new study highlights the potential of Vision Language Models (VLMs) in enhancing sign language dataset acquisition from social media. Traditional sign language translation datasets often face challenges like limited scale and high curation costs. This innovative approach not only promises to streamline the process but also aims to make sign language resources more accessible and diverse. By leveraging VLMs, researchers can tap into a wealth of user-generated content, paving the way for more inclusive and comprehensive sign language resources.
Read full article
via arXiv — cs.CL
Think Twice Before You Judge: Mixture of Dual Reasoning Experts for Multimodal Sarcasm Detection
arXiv — cs.CL9 hours ago
Think Twice Before You Judge: Mixture of Dual Reasoning Experts for Multimodal Sarcasm Detection
PositiveArtificial Intelligence
A recent study highlights the importance of understanding sarcasm in multimedia posts on social media, as it often requires deeper contextual knowledge. Current models have limitations, primarily relying on superficial cues, which can lead to misunderstandings. This research aims to improve sarcasm detection by incorporating dual reasoning experts, making it a significant step forward in enhancing communication and comprehension in digital interactions.
Read full article
via arXiv — cs.CL
Visual Diversity and Region-aware Prompt Learning for Zero-shot HOI Detection
arXiv — cs.CV9 hours ago
Visual Diversity and Region-aware Prompt Learning for Zero-shot HOI Detection
PositiveArtificial Intelligence
A recent study introduces innovative methods for zero-shot human-object interaction detection, enhancing the ability to identify and localize interactions in images without prior training on specific verb-object pairs. By leveraging prompt learning with advanced vision-language models like CLIP, researchers are making strides in aligning natural language with visual features. This advancement is significant as it opens up new possibilities for AI applications in understanding complex interactions, potentially transforming fields such as robotics and automated content analysis.
Read full article
via arXiv — cs.CV
Vision-Language Integration for Zero-Shot Scene Understanding in Real-World Environments
arXiv — cs.CV9 hours ago
Vision-Language Integration for Zero-Shot Scene Understanding in Real-World Environments
PositiveArtificial Intelligence
A new framework for vision-language integration has been proposed to tackle the challenges of zero-shot scene understanding in real-world environments. This innovative approach combines pre-trained visual encoders like CLIP and ViT with large language models such as GPT, enabling models to recognize new objects and contexts without needing prior labeled examples. This advancement is significant as it enhances the ability of AI systems to interpret complex scenes, making them more adaptable and effective in real-world applications.
Read full article
via arXiv — cs.CV
DGTRSD & DGTRS-CLIP: A Dual-Granularity Remote Sensing Image-Text Dataset and Vision Language Foundation Model for Alignment
arXiv — cs.CV9 hours ago
DGTRSD & DGTRS-CLIP: A Dual-Granularity Remote Sensing Image-Text Dataset and Vision Language Foundation Model for Alignment
PositiveArtificial Intelligence
The introduction of the DGTRSD and DGTRS-CLIP datasets marks a significant advancement in the field of remote sensing and vision language models. By addressing the limitations of existing models that struggle with longer text captions, these new resources provide a more comprehensive way to align remote sensing images with detailed descriptions. This development is crucial as it enhances the semantic understanding of remote sensing data, paving the way for more accurate interpretations and applications in various fields such as environmental monitoring and urban planning.
Read full article
via arXiv — cs.CV
Latest from Artificial Intelligence
From Generative to Agentic AI
Databricks Blogin 3 hours
From Generative to Agentic AI
PositiveArtificial Intelligence
ScaleAI is making significant strides in the field of artificial intelligence, showcasing how enterprise leaders are effectively leveraging generative and agentic AI technologies. This progress is crucial as it highlights the potential for businesses to enhance their operations and innovate, ultimately driving growth and efficiency in various sectors.
Read full article
via Databricks Blog
Delta Sharing Top 10 Frequently Asked Questions, Answered - Part 1
Databricks Blogin 3 hours
Delta Sharing Top 10 Frequently Asked Questions, Answered - Part 1
PositiveArtificial Intelligence
Delta Sharing is experiencing remarkable growth, boasting a 300% increase year-over-year. This surge highlights the platform's effectiveness in facilitating data sharing across organizations, making it a vital tool for businesses looking to enhance their analytics capabilities. As more companies adopt this technology, it signifies a shift towards more collaborative and data-driven decision-making processes.
Read full article
via Databricks Blog
Beyond the Partnership: How 100+ Customers Are Already Transforming Business with Databricks and Palantir
Databricks Blogin 2 hours
Beyond the Partnership: How 100+ Customers Are Already Transforming Business with Databricks and Palantir
PositiveArtificial Intelligence
The recent partnership between Databricks and Palantir is already making waves, with over 100 customers leveraging their combined strengths to transform their businesses. This collaboration not only enhances data analytics capabilities but also empowers organizations to make more informed decisions, driving innovation and efficiency. It's exciting to see how these companies are shaping the future of business through their strategic alliance.
Read full article
via Databricks Blog
WhatsApp will let you use passkeys for your backups
Engadget20 minutes ago
WhatsApp will let you use passkeys for your backups
PositiveArtificial Intelligence
WhatsApp is enhancing its security features by allowing users to utilize passkeys for their backups. This update is significant as it adds an extra layer of protection for personal data, making it harder for unauthorized access. With cyber threats on the rise, this move reflects WhatsApp's commitment to user privacy and security, ensuring that sensitive information remains safe.
Read full article
via Engadget
Why Standard-Cell Architecture Matters for Adaptable ASIC Designs
EE Times20 minutes ago
Why Standard-Cell Architecture Matters for Adaptable ASIC Designs
PositiveArtificial Intelligence
The article highlights the significance of standard-cell architecture in adaptable ASIC designs, emphasizing its benefits such as being fully testable and foundry-portable. This innovation is crucial for developers looking to create flexible and reliable hardware solutions without hidden risks, making it a game-changer in the semiconductor industry.
Read full article
via EE Times
WhatsApp adds passkey protection to end-to-end encrypted backups
TechCrunch20 minutes ago
WhatsApp adds passkey protection to end-to-end encrypted backups
PositiveArtificial Intelligence
WhatsApp has introduced a new feature that allows users to protect their end-to-end encrypted backups with passkeys. This enhancement is significant as it adds an extra layer of security for users' data, ensuring that their private conversations remain safe even when stored in the cloud. With increasing concerns over data privacy, this move by WhatsApp is a proactive step towards safeguarding user information.
Read full article
via TechCrunch