How Many Instructions Can LLMs Follow at Once?

DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering

Illuminating the Three Dogmas of Reinforcement Learning under Evolutionary Light

Perspective-Aware AI in Extended Reality

Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety

Modeling Code: Is Text All You Need?

Foundation Models for Logistics: Toward Certifiable, Conversational Planning Interfaces

CogDDN: A Cognitive Demand-Driven Navigation with Decision Optimization and Dual-Process Thinking

Contestability in Quantitative Argumentation

Opus: A Prompt Intention Framework for Complex Workflow Generation

Taming Uncertainty via Automation: Observing, Analyzing, and Optimizing Agentic AI Systems

DuetGraph: Coarse-to-Fine Knowledge Graph Reasoning with Dual-Pathway Global-Local Fusion

Fine-grained Timing Analysis of Digital Integrated Circuits in Answer Set Programming

Collaborative Trustworthiness for Good Decision Making in Autonomous Systems

Defining neurosymbolic AI

AI Agent Architecture for Decentralized Trading of Alternative Assets

Function-to-Style Guidance of LLMs for Code Translation

Tactical Decision for Multi-UGV Confrontation with a Vision-Language Model-Based Commander

Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing

Modeling Habitat Shifts: Integrating Convolutional Neural Networks and Tabular Data for Species Migration Prediction

Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization

Lessons Learned from Evaluation of LLM based Multi-agents in Safer Therapy Recommendation

NavComposer: Composing Language Instructions for Navigation Trajectories through Action-Scene-Object Modularization

WhisperKit: On-device Real-time ASR with Billion-Scale Transformers

AF-XRAY: Visual Explanation and Resolution of Ambiguity in Legal Argumentation Frameworks

Automated Thematic Analyses Using LLMs: Xylazine Wound Management Social Media Chatter Use Case

Detecting AI Assistance in Abstract Complex Tasks

Uncertainty-Informed Scheduling of Decision Points for Intelligent Mobile Health Interventions

IoT Malware Network Traffic Detection using Deep Learning and GraphSAGE Models

AI and the Net-Zero Journey: Energy Demand, Emissions, and the Potential for Transition

Parsing Musical Structure to Enable Meaningful Variations

From Semantic Web and MAS to Agentic AI: A Unified Narrative of the Web of Agents

Enhancing the Capabilities of Large Language Models for API calls through Knowledge Graphs

Comprehension Without Competence: Architectural Limits of LLMs in Symbolic Computation and Reasoning

Orchestrator-Agent Trust: A Modular Agentic AI Visual Classification System with Trust-Aware Orchestration and RAG-Based Reasoning

AI Mother Tongue: Self-Emergent Communication in MARL via Endogenous Symbol Systems

SAMEP: A Secure Protocol for Persistent Context Sharing Across AI Agents

Streaming 4D Visual Geometry Transformer

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air

Recursive Bound-Constrained AdaGrad with Applications to Multilevel and Domain Decomposition Minimization

COLIBRI Fuzzy Model: Color Linguistic-Based Representation and Interpretation

COLI: A Hierarchical Efficient Compressor for Large Images

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV

Toward Improving fNIRS Classification: A Study on Activation Functions in Deep Neural Architectures

KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?

EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning Modes

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties

Attributes Shape the Embedding Space of Face Recognition Models

Local Pairwise Distance Matching for Backpropagation-Free Reinforcement Learning

Acting and Planning with Hierarchical Operational Models on a Mobile Robot: A Study with RAE+UPOM

SystolicAttention: Fusing FlashAttention within a Single Systolic Array

Automated Novelty Evaluation of Academic Paper: A Collaborative Approach Integrating Human and Large Language Model Knowledge

Quantitative multi-metabolite imaging of Parkinson's disease using AI boosted molecular MRI

HANS-Net: Hyperbolic Convolution and Adaptive Temporal Attention for Accurate and Generalizable Liver and Tumor Segmentation in CT Imaging

Internal Value Alignment in Large Language Models through Controlled Value Vector Activation

YOLOatr : Deep Learning Based Automatic Target Detection and Localization in Thermal Infrared Imagery

Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal Bound

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining

Role-Playing LLM-Based Multi-Agent Support Framework for Detecting and Addressing Family Communication Bias

Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative Coding

Mixture of Experts in Large Language Models

An Explainable AI-Enhanced Machine Learning Approach for Cardiovascular Disease Detection and Risk Assessment

Gradient Regularization-based Neural Granger Causality

Improving Wi-Fi Network Performance Prediction with Deep Learning Models

Assessing Color Vision Test in Large Vision-language Models

Latent Space Consistency for Sparse-View CT Reconstruction

MMOne: Representing Multiple Modalities in One Scene

EditGen: Harnessing Cross-Attention Control for Instruction-Based Auto-Regressive Audio Editing

Joint angle model based learning to refine kinematic human pose estimation

Automatic Road Subsurface Distress Recognition from Ground Penetrating Radar Images using Deep Learning-based Cross-verification

LogTinyLLM: Tiny Large Language Models Based Contextual Log Anomaly Detection

Robust 3D-Masked Part-level Editing in 3D Gaussian Splatting with Regularized Score Distillation Sampling

SWE-MERA: A Dynamic Benchmark for Agenticly Evaluating Large Language Models on Software Engineering Tasks

GATE: Graph Attention Neural Networks with Real-Time Edge Construction for Robust Indoor Localization using Mobile Embedded Devices

Standards-Compliant DM-RS Allocation via Temporal Channel Prediction for Massive MIMO Systems

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP

First-Order Error Matters: Accurate Compensation for Quantized Large Language Models

Semantically Informed Salient Regions Guided Radiology Report Generation

SpaRTAN: Spatial Reinforcement Token-based Aggregation Network for Visual Recognition

Crafting Imperceptible On-Manifold Adversarial Attacks for Tabular Data

High-Throughput Distributed Reinforcement Learning via Adaptive Policy Synchronization

Misalignment from Treating Means as Ends

Conceptualizing Multi-scale Wavelet Attention and Ray-based Encoding for Human-Object Interaction Detection

Pronunciation Deviation Analysis Through Voice Cloning and Acoustic Comparison

Modeling Understanding of Story-Based Analogies Using Large Language Models

Biological Processing Units: Leveraging an Insect Connectome to Pioneer Biofidelic Neural Architectures

Artificial Finance: How AI Thinks About Money

HanjaBridge: Resolving Semantic Ambiguity in Korean LLMs via Hanja-Augmented Pre-Training

Class-Proportional Coreset Selection for Difficulty-Separable Data

MalCodeAI: Autonomous Vulnerability Detection and Remediation via Language Agnostic Code Reasoning

Commuting Distance Regularization for Timescale-Dependent Label Inconsistency in EEG Emotion Recognition

Modernizing CNN-based Weather Forecast Model towards Higher Computational Efficiency

How to Protect Models against Adversarial Unlearning?

Overview of the TREC 2022 deep learning track

A Lightweight and Robust Framework for Real-Time Colorectal Polyp Detection Using LOF-Based Preprocessing and YOLO-v11n

PhreshPhish: A Real-World, High-Quality, Large-Scale Phishing Website Dataset and Benchmark

Winsor-CAM: Human-Tunable Visual Explanations from Deep Networks via Layer-Wise Winsorization

Offline Reinforcement Learning with Wasserstein Regularization via Optimal Transport Maps

Supporting SENĆOTEN Language Documentation Efforts with Automatic Speech Recognition

Past, Present and Future: Exploring Adaptive AI in Software Development Bots

Semantic Context for Tool Orchestration

React to This (RTT): A Nonverbal Turing Test for Embodied AI

"Is it always watching? Is it always listening?" Exploring Contextual Privacy and Security Concerns Toward Domestic Social Robots

Warehouse Spatial Question Answering with LLM Agent

A New Dataset and Performance Benchmark for Real-time Spacecraft Segmentation in Onboard Flight Computers

Auditing Facial Emotion Recognition Datasets for Posed Expressions and Racial Bias

Ground-Compose-Reinforce: Tasking Reinforcement Learning Agents through Formal Language

A Group Theoretic Analysis of the Symmetries Underlying Base Addition and Their Learnability by Neural Networks

Exploring User Security and Privacy Attitudes and Concerns Toward the Use of General-Purpose LLM Chatbots for Mental Health

CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance

TaylorPODA: A Taylor Expansion-Based Method to Improve Post-Hoc Attributions for Opaque Models

First-of-its-kind AI model for bioacoustic detection using a lightweight associative memory Hopfield neural network

A Code Comprehension Benchmark for Large Language Models for Code

SPICEAssistant: LLM using SPICE Simulation Tools for Schematic Design of Switched-Mode Power Supplies

A Simple Baseline for Stable and Plastic Neural Networks

GeoHopNet: Hopfield-Augmented Sparse Spatial Attention for Dynamic UAV Site Location Problem

Scalable Unsupervised Segmentation via Random Fourier Feature-based Gaussian Process

SQLord: A Robust Enterprise Text-to-SQL Solution via Reverse Data Generation and Workflow Decomposition

GHPO: Adaptive Guidance for Stable and Efficient LLM Reinforcement Learning

Player-Team Heterogeneous Interaction Graph Transformer for Soccer Outcome Prediction

Spectral Feature Extraction for Robust Network Intrusion Detection Using MFCCs

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats

LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions

Meta-Reinforcement Learning for Fast and Data-Efficient Spectrum Allocation in Dynamic Wireless Networks

Compute Requirements for Algorithmic Innovation in Frontier AI Models

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them

Fine-tuning Large Language Model for Automated Algorithm Design

Sub-Scaling Laws: On the Role of Data Density and Training Strategies in LLMs

FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise

LaSM: Layer-wise Scaling Mechanism for Defending Pop-up Attack on GUI Agents

DALI-PD: Diffusion-based Synthetic Layout Heatmap Generation for ML in Physical Design

Neural Expectation Operators

RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Services

Learning to Move in Rhythm: Task-Conditioned Motion Policies with Orbital Stability Guarantees

Emergence of Hierarchical Emotion Organization in Large Language Models

PLEX: Perturbation-free Local Explanations for LLM-Based Text Classification

Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs

Extension OL-MDISF: Online Learning from Mix-Typed, Drifted, and Incomplete Streaming Features

ToolRegistry: A Protocol-Agnostic Tool Management Library for Function-Calling LLMs

MH-FSF: A Unified Framework for Overcoming Benchmarking and Reproducibility Limitations in Feature Selection Evaluation

Repairing Language Model Pipelines by Meta Self-Refining Competing Constraints at Runtime

Comparative Analysis of Vision Transformers and Traditional Deep Learning Approaches for Automated Pneumonia Detection in Chest X-Rays

Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is Missing

AutoRAG-LoRA: Hallucination-Triggered Knowledge Retuning via Lightweight Adapters

A Taxonomy for Design and Evaluation of Prompt-Based Natural Language Explanations

ARPaCCino: An Agentic-RAG for Policy as Code Compliance

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection

Universal Approximation Theorem for a Single-Layer Transformer

An Offline Mobile Conversational Agent for Mental Health Support: Learning from Emotional Dialogues and Psychological Texts with Student-Centered Evaluation

Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors

When and Where do Data Poisons Attack Textual Inversion?

Truth Sleuth and Trend Bender: AI Agents to fact-check YouTube videos and influence opinions

Can Large Language Models Understand As Well As Apply Patent Regulations to Pass a Hands-On Patent Attorney Test?

Tool-to-Tool Matching Analysis Based Difference Score Computation Methods for Semiconductor Manufacturing

Enhancing Cross Entropy with a Linearly Adaptive Loss Function for Optimized Classification Performance

A Biomimetic Way for Coral-Reef-Inspired Swarm Intelligence for Carbon-Neutral Wastewater Treatment

NLP Meets the World: Toward Improving Conversations With the Public About Natural Language Processing Research

Collaboration Promotes Group Resilience in Multi-Agent AI