CYBERNOISE
Artificial Intelligence←
Procedural Memory Is Not All You Need: Bridging Cognitive Gaps in LLM-Based Agents

Evaluating the Impact of AI-Powered Audiovisual Personalization on Learner Emotion, Focus, and Learning Outcomes

Consciousness in AI: Logic, Proof, and Experimental Evidence of Recursive Identity Formation

One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection

CombiBench: Benchmarking LLM Capability for Combinatorial Mathematics

Inducing Robustness in a 2 Dimensional Direct Preference Optimization Paradigm

BLAB: Brutally Long Audio Bench

Patterns and Mechanisms of Contrastive Activation Engineering

WeatherFormer: Empowering Global Numerical Weather Forecasting with Space-Time Transformer

RAG-MCP: Mitigating Prompt Bloat in LLM Tool Selection via Retrieval-Augmented Generation

Emotions in Artificial Intelligence

The Multimodal Paradox: How Added and Missing Modalities Shape Bias and Performance in Multimodal AI

Is AI currently capable of identifying wild oysters? A comparison of human annotators against the AI model, ODYSSEE

Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

Training Environment for High Performance Reinforcement Learning

Capability-Driven Skill Generation with LLMs: A RAG-Based Approach for Reusing Existing Libraries and Interfaces

Understanding LLM Scientific Reasoning through Promptings and Model's Explanation on the Answers

World Model-Based Learning for Long-Term Age of Information Minimization in Vehicular Networks

Validating the Effectiveness of a Large Language Model-based Approach for Identifying Children's Development across Various Free Play Settings in Kindergarten

PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding

AI-Driven Scholarly Peer Review via Persistent Workflow Prompting, Meta-Prompting, and Meta-Reasoning

Structured Prompting and Feedback-Guided Reasoning with LLMs for Data Interpretation

Artificial Behavior Intelligence: Technology, Challenges, and Future Directions

Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias

TutorGym: A Testbed for Evaluating AI Agents as Tutors and Students

Domain Adversarial Training for Mitigating Gender Bias in Speech-based Mental Health Detection

Holmes: Automated Fact Check with Large Language Models

Human-AI Governance (HAIG): A Trust-Utility Approach

CHORUS: Zero-shot Hierarchical Retrieval and Orchestration for Generating Linear Programming Code

Parameterized Argumentation-based Reasoning Tasks for Benchmarking Generative Language Models

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach
