Process thousands of open-ended survey responses: cluster by theme, extract sentiment, and generate executive summaries.
🔗 matasoft.hr/qtrendcontro...
#SurveyAI #PerplexityAI #AI #LLM #BI #ArtificialIntelligence ##Artificial_Intelligence #artificial-intelligence #SupportAI #FeedbackAI #AITools
🔗 matasoft.hr/qtrendcontro...
#SurveyAI #PerplexityAI #AI #LLM #BI #ArtificialIntelligence ##Artificial_Intelligence #artificial-intelligence #SupportAI #FeedbackAI #AITools
August 8, 2025 at 1:54 PM
Process thousands of open-ended survey responses: cluster by theme, extract sentiment, and generate executive summaries.
🔗 matasoft.hr/qtrendcontro...
#SurveyAI #PerplexityAI #AI #LLM #BI #ArtificialIntelligence ##Artificial_Intelligence #artificial-intelligence #SupportAI #FeedbackAI #AITools
🔗 matasoft.hr/qtrendcontro...
#SurveyAI #PerplexityAI #AI #LLM #BI #ArtificialIntelligence ##Artificial_Intelligence #artificial-intelligence #SupportAI #FeedbackAI #AITools
Transform raw survey data into board-level summaries. Extract patterns, cluster key responses, and build ready-to-present insights instantly.
🔗 matasoft.hr/qtrendcontro...
#PerplexityAI #SurveyAI #BoardReporting
🔗 matasoft.hr/qtrendcontro...
#PerplexityAI #SurveyAI #BoardReporting
August 17, 2025 at 9:47 AM
Transform raw survey data into board-level summaries. Extract patterns, cluster key responses, and build ready-to-present insights instantly.
🔗 matasoft.hr/qtrendcontro...
#PerplexityAI #SurveyAI #BoardReporting
🔗 matasoft.hr/qtrendcontro...
#PerplexityAI #SurveyAI #BoardReporting
Physician perceptions of artificial intelligence in Northern Italy healthcare: a survey of fears and expectations – Survey of 362 doctors in northern Italy. 98% of the responders believe that AI will improve medical activities. The legal problems, the worsen... https://tinyurl.com/25u44td2 #SurveyAI
Frontiers | Physician perceptions of artificial intelligence in Northern Italy healthcare: a survey of fears and expectations
IntroductionArtificial Intelligence (AI) is more and more spreading but despite the clear evidence of benefits related to its implementation, many physicians...
www.frontiersin.org
November 12, 2025 at 6:18 AM
Physician perceptions of artificial intelligence in Northern Italy healthcare: a survey of fears and expectations – Survey of 362 doctors in northern Italy. 98% of the responders believe that AI will improve medical activities. The legal problems, the worsen... https://tinyurl.com/25u44td2 #SurveyAI
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems – LLM-based autonomous agents have demonstrated strong capabilities in reasoning, planning, and tool use. But they remain limite... https://tinyurl.com/2d54gyqz #SurveyAI
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems
LLM-based autonomous agents have demonstrated strong capabilities in reasoning, planning, and tool use, yet remain limited when tasks require sustained coordination across roles, tools, and environments. Multi-agent systems address this through structured collaboration among specialized agents, but…
arxiv.org
May 16, 2026 at 1:09 AM
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems – LLM-based autonomous agents have demonstrated strong capabilities in reasoning, planning, and tool use. But they remain limite... https://tinyurl.com/2d54gyqz #SurveyAI
Deep Learning for Multivariate Time Series Imputation: A Survey – Deep learning-based methods have successfully handled missing data by leveraging complex temporal dependencies and learned data distributions. We propose a novel taxonomy that categorizes... https://arxiv.org/abs/2402.04059 #surveyai
Deep Learning for Multivariate Time Series Imputation: A Survey
Missing values are ubiquitous in multivariate time series (MTS) data, posing significant challenges for accurate analysis and downstream applications. In recent years, deep learning-based methods have successfully handled missing data by leveraging complex temporal dependencies and learned data dis…
arxiv.org
May 21, 2025 at 6:41 PM
Deep Learning for Multivariate Time Series Imputation: A Survey – Deep learning-based methods have successfully handled missing data by leveraging complex temporal dependencies and learned data distributions. We propose a novel taxonomy that categorizes... https://arxiv.org/abs/2402.04059 #surveyai
A Survey on Foundation Models for Personalized Federated Intelligence – The rise of large language models (LLMs), such as ChatGPT, Gemini, and Grok, has reshaped the AI landscape. We present the vision of artificial personalized intelligence (API), which foc... https://tinyurl.com/254hudgu #SurveyAI
A Survey on Foundation Models for Personalized Federated Intelligence
The rise of large language models (LLMs), such as ChatGPT, Gemini, and Grok, has reshaped the AI landscape. As prominent instances of foundational models (FMs), they exhibit remarkable capabilities in generating human-like content, pushing the boundaries towards artificial general intelligence (AGI…
arxiv.org
May 19, 2026 at 7:39 AM
A Survey on Foundation Models for Personalized Federated Intelligence – The rise of large language models (LLMs), such as ChatGPT, Gemini, and Grok, has reshaped the AI landscape. We present the vision of artificial personalized intelligence (API), which foc... https://tinyurl.com/254hudgu #SurveyAI
A Survey on Patent Analysis: From NLP to Multimodal AI – Natural language processing can streamline and enhance important tasks in the patent cycle. This not only accelerates the efficiency of patent researchers and applicants, but also opens new avenues for... https://tinyurl.com/224cf5ub #SurveyAI
A Survey on Patent Analysis: From NLP to Multimodal AI
Recent advances in Pretrained Language Models (PLMs) and Large Language Models (LLMs) have demonstrated transformative capabilities across diverse domains. The field of patent analysis and innovation is not an exception, where natural language processing (NLP) techniques presents opportunities to s…
arxiv.org
June 30, 2025 at 6:48 AM
A Survey on Patent Analysis: From NLP to Multimodal AI – Natural language processing can streamline and enhance important tasks in the patent cycle. This not only accelerates the efficiency of patent researchers and applicants, but also opens new avenues for... https://tinyurl.com/224cf5ub #SurveyAI
Vision-Language Models for Edge Networks: A Comprehensive Survey – Vision Large Language Models (VLMs) combine visual understanding with natural language processing. VLMs show impressive capabilities across domains such as autonomous vehicles, smart surveill... https://tinyurl.com/29lvabm7 #SurveyAI
Vision-Language Models for Edge Networks: A Comprehensive Survey
Vision Large Language Models (VLMs) combine visual understanding with natural language processing, enabling tasks like image captioning, visual question answering, and video analysis. While VLMs show impressive capabilities across domains such as autonomous vehicles, smart surveillance, and healthc…
arxiv.org
June 16, 2025 at 4:34 AM
Vision-Language Models for Edge Networks: A Comprehensive Survey – Vision Large Language Models (VLMs) combine visual understanding with natural language processing. VLMs show impressive capabilities across domains such as autonomous vehicles, smart surveill... https://tinyurl.com/29lvabm7 #SurveyAI
The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs – Large Language Models (LLMs) have demonstrated remarkable potential in the field of Natural Language Processing (NLP) However, their widespread deployment has also raised significa... https://tinyurl.com/246vzmhd #SurveyAI
The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs
With the rapid advancement of artificial intelligence technology, Large Language Models (LLMs) have demonstrated remarkable potential in the field of Natural Language Processing (NLP), including areas such as content generation, human-computer interaction, machine translation, and code generation…
arxiv.org
June 16, 2025 at 4:36 AM
The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs – Large Language Models (LLMs) have demonstrated remarkable potential in the field of Natural Language Processing (NLP) However, their widespread deployment has also raised significa... https://tinyurl.com/246vzmhd #SurveyAI
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers – Self-supervised learning (SSL) has emerged as a promising paradigm. SSL leverages inherent relationships within the data itself as a form of supervision. We propose a comprehensive... https://tinyurl.com/2br3jmfe #SurveyAI
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
Vision Transformers (ViTs) have recently demonstrated remarkable performance in computer vision tasks. However, their parameter-intensive nature and reliance on large amounts of data for effective performance have shifted the focus from traditional human-annotated labels to unsupervised learning an…
arxiv.org
June 11, 2025 at 8:21 PM
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers – Self-supervised learning (SSL) has emerged as a promising paradigm. SSL leverages inherent relationships within the data itself as a form of supervision. We propose a comprehensive... https://tinyurl.com/2br3jmfe #SurveyAI
When LLMs Team Up: The Emergence of Collaborative Affective Computing – Affective Computing (AC) is essential in bridging the gap between human emotional experiences and machine understanding. Traditionally, AC tasks in natural language processing (NLP) have... https://tinyurl.com/2593m67r #SurveyAI
When LLMs Team Up: The Emergence of Collaborative Affective Computing
Affective Computing (AC) is essential in bridging the gap between human emotional experiences and machine understanding. Traditionally, AC tasks in natural language processing (NLP) have been approached through pipeline architectures, which often suffer from structure rigidity that leads to ineffic…
arxiv.org
June 4, 2025 at 4:23 PM
When LLMs Team Up: The Emergence of Collaborative Affective Computing – Affective Computing (AC) is essential in bridging the gap between human emotional experiences and machine understanding. Traditionally, AC tasks in natural language processing (NLP) have... https://tinyurl.com/2593m67r #SurveyAI
Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future – Peer review is a multi-stage process involving reviews, rebuttals, meta-reviews, final decisions, and subsequent manuscript revisions. Recent advances in large lang... https://tinyurl.com/2bxcx92h #SurveyAI
Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future
Peer review is a multi-stage process involving reviews, rebuttals, meta-reviews, final decisions, and subsequent manuscript revisions. Recent advances in large language models (LLMs) have motivated methods that assist or automate different stages of this pipeline. In this survey, we synthesize tech…
arxiv.org
May 2, 2026 at 1:05 AM
Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future – Peer review is a multi-stage process involving reviews, rebuttals, meta-reviews, final decisions, and subsequent manuscript revisions. Recent advances in large lang... https://tinyurl.com/2bxcx92h #SurveyAI
A Survey of Threats Against Voice Authentication and Anti-Spoofing Systems – Survey presents a comprehensive review of the modern threat landscape targeting Voice Authentication Systems (VAS) and Anti-Spoofing Countermeasures (CMs) We chronologically trace t... https://tinyurl.com/2djdrats #SurveyAI
A Survey of Threats Against Voice Authentication and Anti-Spoofing Systems
Voice authentication has undergone significant changes from traditional systems that relied on handcrafted acoustic features to deep learning models that can extract robust speaker embeddings. This advancement has expanded its applications across finance, smart devices, law enforcement, and beyond…
arxiv.org
September 12, 2026 at 6:34 AM
A Survey of Threats Against Voice Authentication and Anti-Spoofing Systems – Survey presents a comprehensive review of the modern threat landscape targeting Voice Authentication Systems (VAS) and Anti-Spoofing Countermeasures (CMs) We chronologically trace t... https://tinyurl.com/2djdrats #SurveyAI
Graph-Based Personalized Memory for LLM Agents: Representation, Evolution, Retrieval, and Evaluation – Large Language Model (LLM) agents are evolving from single-session tools to long-term personal assistants. This shift makes memory a core requirement for p... https://tinyurl.com/29pojhlo #SurveyAI
Graph-Based Personalized Memory for LLM Agents: Representation, Evolution, Retrieval, and Evaluation
Large Language Model (LLM) agents are evolving from single-session tools toward long-term personal assistants that must adapt to individual users across tasks, contexts, and interactions. This shift makes memory a core requirement for personalization, since user preferences, goals, constraints, rel…
arxiv.org
September 10, 2026 at 12:35 PM
Graph-Based Personalized Memory for LLM Agents: Representation, Evolution, Retrieval, and Evaluation – Large Language Model (LLM) agents are evolving from single-session tools to long-term personal assistants. This shift makes memory a core requirement for p... https://tinyurl.com/29pojhlo #SurveyAI
The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook – Latent space is rapidly emerging as a native substrate for language-based models. Many critical internal processes are more naturally carried out in continuous latent space than in hu... https://tinyurl.com/28m7t9bt #SurveyAI
The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook
Latent space is rapidly emerging as a native substrate for language-based models. While modern systems are still commonly understood through explicit token-level generation, an increasing body of work shows that many critical internal processes are more naturally carried out in continuous latent sp…
arxiv.org
June 8, 2026 at 1:53 PM
The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook – Latent space is rapidly emerging as a native substrate for language-based models. Many critical internal processes are more naturally carried out in continuous latent space than in hu... https://tinyurl.com/28m7t9bt #SurveyAI
The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook – Latent space is rapidly emerging as a native substrate for language-based models. Many critical internal processes are more naturally carried out in continuous latent space than in hu... https://tinyurl.com/28m7t9bt #SurveyAI
The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook
Latent space is rapidly emerging as a native substrate for language-based models. While modern systems are still commonly understood through explicit token-level generation, an increasing body of work shows that many critical internal processes are more naturally carried out in continuous latent sp…
arxiv.org
June 8, 2026 at 8:06 AM
The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook – Latent space is rapidly emerging as a native substrate for language-based models. Many critical internal processes are more naturally carried out in continuous latent space than in hu... https://tinyurl.com/28m7t9bt #SurveyAI
Large Language Models for Multi-Robot Systems: A Survey – Large Language Models (LLMs) have opened new possibilities in Multi-Robot Systems (MRS) Unlike traditional single-robot and multi-agent systems, MRS poses unique challenges. This survey provides the f... https://tinyurl.com/264aouoh #SurveyAI
Large Language Models for Multi-Robot Systems: A Survey
The rapid advancement of Large Language Models (LLMs) has opened new possibilities in Multi-Robot Systems (MRS), enabling enhanced communication, task allocation and planning, and human-robot interaction. Unlike traditional single-robot and multi-agent systems, MRS poses unique challenges, includin…
arxiv.org
May 6, 2026 at 1:01 PM
Large Language Models for Multi-Robot Systems: A Survey – Large Language Models (LLMs) have opened new possibilities in Multi-Robot Systems (MRS) Unlike traditional single-robot and multi-agent systems, MRS poses unique challenges. This survey provides the f... https://tinyurl.com/264aouoh #SurveyAI
Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval – Generative AI, particularly Large Language Models, increasingly integrates graph-based representations to enhance reasoning, retrieval, and structured decision-making. Despite r... https://tinyurl.com/27gyquob #SurveyAI
Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval
Generative AI, particularly Large Language Models, increasingly integrates graph-based representations to enhance reasoning, retrieval, and structured decision-making. Despite rapid advances, there remains limited clarity regarding when, why, where, and what types of graph-LLM integrations are most…
arxiv.org
April 20, 2026 at 7:09 AM
Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval – Generative AI, particularly Large Language Models, increasingly integrates graph-based representations to enhance reasoning, retrieval, and structured decision-making. Despite r... https://tinyurl.com/27gyquob #SurveyAI
A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning – Machine learning is increasingly deployed through outsourced and cloud-based pipelines. This raises concerns about computational integrity, data privacy, and model confidentiality. This sur... https://tinyurl.com/2de9mvh9 #SurveyAI
A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning
Machine learning is increasingly deployed through outsourced and cloud-based pipelines, which improve accessibility but also raise concerns about computational integrity, data privacy, and model confidentiality. Zero-knowledge proofs (ZKPs) provide a compelling foundation for verifiable machine lea…
arxiv.org
March 31, 2026 at 6:36 PM
A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning – Machine learning is increasingly deployed through outsourced and cloud-based pipelines. This raises concerns about computational integrity, data privacy, and model confidentiality. This sur... https://tinyurl.com/2de9mvh9 #SurveyAI
Generative Modeling in Protein Design: Neural Representations, Conditional Generation, and Evaluation Standards – Generative modeling has become a central paradigm in protein research. The literature remains fragmented across representations, model classes... https://tinyurl.com/2bab8x38 #SurveyAI
Generative Modeling in Protein Design: Neural Representations, Conditional Generation, and Evaluation Standards
Generative modeling has become a central paradigm in protein research, extending machine learning beyond structure prediction toward sequence design, backbone generation, inverse folding, and biomolecular interaction modeling. However, the literature remains fragmented across representations, model…
arxiv.org
March 30, 2026 at 6:56 AM
Generative Modeling in Protein Design: Neural Representations, Conditional Generation, and Evaluation Standards – Generative modeling has become a central paradigm in protein research. The literature remains fragmented across representations, model classes... https://tinyurl.com/2bab8x38 #SurveyAI
A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challenge – High-dimensional vector data increasingly surpasses the processing capabilities of traditional database management systems. VDBs have become tightly integrated with large... https://tinyurl.com/29w4w2jd #SurveyAI
A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challenge
As high-dimensional vector data increasingly surpasses the processing capabilities of traditional database management systems, Vector Databases (VDBs) have emerged and become tightly integrated with large language models, being widely applied in modern artificial intelligence systems. However, exis…
arxiv.org
March 23, 2026 at 6:36 PM
A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challenge – High-dimensional vector data increasingly surpasses the processing capabilities of traditional database management systems. VDBs have become tightly integrated with large... https://tinyurl.com/29w4w2jd #SurveyAI
Mathematics and Machine Creativity: A Survey on Bridging Mathematics with AI – This paper presents a comprehensive overview on the applications of artificial intelligence (AI) in mathematical research. Traditionally, AI advancements have heavily relied on th... https://tinyurl.com/299ys4rl #SurveyAI
Mathematics and Machine Creativity: A Survey on Bridging Mathematics with AI
This paper presents a comprehensive overview on the applications of artificial intelligence (AI) in mathematical research, highlighting the transformative role AI has begun to play in this domain. Traditionally, AI advancements have heavily relied on theoretical foundations provided by mathematics…
arxiv.org
February 16, 2026 at 6:39 AM
Mathematics and Machine Creativity: A Survey on Bridging Mathematics with AI – This paper presents a comprehensive overview on the applications of artificial intelligence (AI) in mathematical research. Traditionally, AI advancements have heavily relied on th... https://tinyurl.com/299ys4rl #SurveyAI
From Instruction to Output: The Role of Prompting in Modern NLG – Prompt engineering has emerged as an integral technique for extending the strengths and abilities of Large Language Models. There is still no structured framework or coherent understanding of... https://tinyurl.com/2dja3rz9 #SurveyAI
From Instruction to Output: The Role of Prompting in Modern NLG
Prompt engineering has emerged as an integral technique for extending the strengths and abilities of Large Language Models (LLMs) to gain significant performance gains in various Natural Language Processing (NLP) tasks. This approach, which requires instructions to be composed in natural language t…
arxiv.org
February 13, 2026 at 6:39 AM
From Instruction to Output: The Role of Prompting in Modern NLG – Prompt engineering has emerged as an integral technique for extending the strengths and abilities of Large Language Models. There is still no structured framework or coherent understanding of... https://tinyurl.com/2dja3rz9 #SurveyAI
Graph-based Agent Memory: Taxonomy, Techniques, and Applications – Memory emerges as the core module in the Large Language Model (LLM)-based agents for long-horizon complex tasks. Memory can enable knowledge accumulation, iterative reasoning and self-evoluti... https://tinyurl.com/2xml8tlu #SurveyAI
Graph-based Agent Memory: Taxonomy, Techniques, and Applications
Memory emerges as the core module in the Large Language Model (LLM)-based agents for long-horizon complex tasks (e.g., multi-turn dialogue, game playing, scientific discovery), where memory can enable knowledge accumulation, iterative reasoning and self-evolution. Among diverse paradigms, graph sta…
arxiv.org
February 7, 2026 at 6:32 AM
Graph-based Agent Memory: Taxonomy, Techniques, and Applications – Memory emerges as the core module in the Large Language Model (LLM)-based agents for long-horizon complex tasks. Memory can enable knowledge accumulation, iterative reasoning and self-evoluti... https://tinyurl.com/2xml8tlu #SurveyAI
A Survey of 3D Reconstruction with Event Cameras – Event cameras are rapidly emerging as powerful vision sensors for 3D reconstruction. They are uniquely capable of asynchronously capturing per-pixel brightness changes. These capabilities offer substanti... https://arxiv.org/abs/2505.08438 #SurveyAI
A Survey of 3D Reconstruction with Event Cameras
Event cameras are rapidly emerging as powerful vision sensors for 3D reconstruction, uniquely capable of asynchronously capturing per-pixel brightness changes. Compared to traditional frame-based cameras, event cameras produce sparse yet temporally dense data streams, enabling robust and accurate 3…
arxiv.org
December 23, 2025 at 6:22 AM
A Survey of 3D Reconstruction with Event Cameras – Event cameras are rapidly emerging as powerful vision sensors for 3D reconstruction. They are uniquely capable of asynchronously capturing per-pixel brightness changes. These capabilities offer substanti... https://arxiv.org/abs/2505.08438 #SurveyAI