Resolving Multiple-Dynamic Model Uncertainty in Hypothesis-Driven Belief-MDPs

RV4Chatbot: Are Chatbots Allowed to Dream of Electric Sheep?

Physics-Informed LLM-Agent for Automated Modulation Design in Power Electronics Systems

Multi-LLM-Agent Systems: Techniques and Business Perspectives

Logic Augmented Generation

XAgents: A Framework for Interpretable Rule-Based Multi-Agents Cooperation

Generative Fuzzy System for Sequence Generation

AI-Driven Agents with Prompts Designed for High Agreeableness Increase the Likelihood of Being Mistaken for a Human in the Turing Test

Integrated Water Resource Management in the Segura Hydrographic Basin: An Artificial Intelligence Approach

No Free Delivery Service: Epistemic limits of passive data collection in complex social systems

AMSnet-KG: A Netlist Dataset for LLM-based AMS Circuit Auto-Design Using Knowledge Graph RAG

Revisiting the Integration of Convolution and Attention for Vision Backbone

Whack-a-Chip: The Futility of Hardware-Centric Export Controls

Landing Trajectory Prediction for UAS Based on Generative Adversarial Network

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems

Synthesising Robust Controllers for Robot Collectives with Recurrent Tasks: A Case Study

ROSMonitoring 2.0: Extending ROS Runtime Verification to Services and Ordered Topics

Contrasting local and global modeling with machine learning and satellite data: A case study estimating tree canopy height in African savannas

UnifiedCrawl: Aggregated Common Crawl for Affordable Adaptation of LLMs on Low-Resource Languages

Automated Generation of Code Debugging Exercises

Neuro-Symbolic Query Optimization in Knowledge Graphs

Generating Realistic Adversarial Examples for Business Processes using Variational Autoencoders

Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective

Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models

BERT-Based Approach for Automating Course Articulation Matrix Construction with Explainable AI

Intent-Aware Dialogue Generation and Multi-Task Contrastive Learning for Multi-Turn Intent Classification

Natural Language Reinforcement Learning

AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection

Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data

Evaluating the Robustness of Analogical Reasoning in Large Language Models

HARP: A Large-Scale Higher-Order Ambisonic Room Impulse Response Dataset

Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body

OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs

ComfyGI: Automatic Improvement of Image Generation Workflows

FoPru: Focal Pruning for Efficient Large Vision-Language Models

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback

Differentiable SVD based on Moore-Penrose Pseudoinverse for Inverse Imaging Problems

Umbrella Reinforcement Learning -- computationally efficient tool for hard non-linear problems

GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs

MetaCropFollow: Few-Shot Adaptation with Meta-Learning for Under-Canopy Navigation

Multi LoRA Meets Vision: Merging multiple adapters to create a multi task model

MMGenBench: Evaluating the Limits of LMMs from the Text-to-Image Generation Perspective

FunctionChat-Bench: Comprehensive Evaluation of Language Models' Generative Capabilities in Korean Tool-use Dialogs

Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling

Uterine Ultrasound Image Captioning Using Deep Learning Techniques

Safety Without Semantic Disruptions: Editing-free Safe Image Generation via Context-preserving Dual Latent Reconstruction

Assessing data-driven predictions of band gap and electrical conductivity for transparent conducting materials

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection

On the Fairness, Diversity and Reliability of Text-to-Image Generative Models

FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles

A Dataset for Evaluating Online Anomaly Detection Approaches for Discrete Multivariate Time Series

Separable Mixture of Low-Rank Adaptation for Continual Visual Instruction Tuning

LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues

Learning to Cooperate with Humans using Generative Agents

Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization

AmpliNetECG12: A lightweight SoftMax-based relativistic amplitude amplification architecture for 12 lead ECG classification

When Online Algorithms Influence the Environment: A Dynamical Systems Analysis of the Unintended Consequences

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation

Next-Generation Phishing: How LLM Agents Empower Cyber Attackers

HARec: Hyperbolic Graph-LLM Alignment for Exploration and Exploitation in Recommender Systems

Exploratory Study Of Human-AI Interaction For Hindustani Music

AutoMixQ: Self-Adjusting Quantization for High Performance Memory-Efficient Fine-Tuning

Benchmarking GPT-4 against Human Translators: A Comprehensive Evaluation Across Languages, Domains, and Expertise Levels

FastRAG: Retrieval Augmented Generation for Semi-structured Data

An Evaluation-Driven Approach to Designing LLM Agents: Process and Architecture

Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge

AttentionBreaker: Adaptive Evolutionary Optimization for Unmasking Vulnerabilities in LLMs through Bit-Flip Attacks

Federated Continual Learning for Edge-AI: A Comprehensive Survey

Exploring Large Language Models for Climate Forecasting

SimPhony: A Device-Circuit-Architecture Cross-Layer Modeling and Simulation Framework for Heterogeneous Electronic-Photonic AI System

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles

NewsInterview: a Dataset and a Playground to Evaluate LLMs' Ground Gap via Informational Interviews

Heterophilic Graph Neural Networks Optimization with Causal Message-passing

Bimanual Dexterity for Complex Tasks

Hymba: A Hybrid-head Architecture for Small Language Models

FabuLight-ASD: Unveiling Speech Activity via Body Language

CryptoFormalEval: Integrating LLMs and Formal Verification for Automated Cryptographic Protocol Vulnerability Detection

Non-Linear Outlier Synthesis for Out-of-Distribution Detection

Verification and Validation of Autonomous Systems

SuPLE: Robot Learning with Lyapunov Rewards

DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs

Integrating Dynamic Correlation Shifts and Weighted Benchmarking in Extreme Value Analysis

A Full-History Network Dataset for BTC Asset Decentralization Profiling

Large-scale cross-modality pretrained model enhances cardiovascular state estimation and cardiomyopathy detection from electrocardiograms: An AI system development and multi-center validation study

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment

Enhancing Bidirectional Sign Language Communication: Integrating YOLOv8 and NLP for Real-Time Gesture Recognition & Translation

A Novel Speech Analysis and Correction Tool for Arabic-Speaking Children

Improved GUI Grounding via Iterative Narrowing

Deep learning waterways for rural infrastructure development

Unveiling Redundancy in Diffusion Transformers (DiTs): A Systematic Study

Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics

Advance Detection Of Bull And Bear Phases In Cryptocurrency Markets

Artificial Intelligence in Cybersecurity: Building Resilient Cyber Diplomacy Frameworks

AddrLLM: Address Rewriting via Large Language Model on Nationwide Logistics Data

Enhanced FIWARE-Based Architecture for Cyberphysical Systems With Tiny Machine Learning and Machine Learning Operations: A Case Study on Urban Mobility Systems

The Role of AI in Financial Forecasting: ChatGPT's Potential and Challenges

Composing Ensembles of Instrument-Model Pairs for Optimizing Profitability in Algorithmic Trading

Just KIDDIN: Knowledge Infusion and Distillation for Detection of INdecent Memes

COOD: Concept-based Zero-shot OOD Detection

Generating bilingual example sentences with large language models as lexicography assistants

Cerebrovascular Segmentation via Vessel Oriented Filtering Network