Optimal Order of Multi-Agent and General Many-Body Systems
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Automated Standardization of Legacy Biomedical Metadata Using an Ontology-Constrained LLM…
ROSE: Benchmarking the Perception-to-Action Gap in Multimodal Models
Beyond Static Endpoints: Tool Programs as an Interface for Flexible Agentic Web Services
Connect the Dots: Training LLMs for Long-Lifecycle Agents with Cross-Domain Generalizatio…
UltraQuant: 4-bit KV Caching for Context-Heavy Agents
Repurposing a Speech Classifier for Guided Diffusion-Based Speech Generation
Hierarchical Control in Multi-Agent Games: LLM-based Planning and RL Execution
Modeling Day-Long ECG Signals to Predict Heart Failure Risk with Explainable AI
Controlled Comparison of Machine Learning Models for Fault Classification and Localizatio…
AI Economist Agent: An Agentic Framework for Model-Grounded Economic Analysis with RAG, K…
How Transparent is DiffusionGemma?
Structuring and Tokenizing Distributed User Interest Context for Generative Recommendation
AI-enhanced tuning of quantum dot Hamiltonians toward Majorana modes
Charting the Future of Scholarly Knowledge with AI: A Community Perspective
Analyzing Defensive Misdirection Against Model-Guided Automated Attacks on Agentic AI Sys…
Multi-View Decompilation for LLM-Based Malware Classification
AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning
Stabilizing the Q-Gradient Field for Policy Smoothness in Actor-Critic Methods
DeFrame: Debiasing Large Language Models Against Framing Effects
Boundary Embedding Shaping with Adaptive Contrastive Learning for Graph Structural Disent…
Editorial Alignment: A Participatory Approach to Engaging Editorial Expertise in LLM-medi…
Bidirectional Tutoring for Developmental Motor Learning in Robots: Co-Developed Interacti…
The Register Gap: A Meaning Intelligence Framework for Nigerian Public Discourse
LoRDO: Distributed Low-Rank Optimization with Infrequent Communication
Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking
Creativity Reconsidered: Generative AI and the Problem of Intentional Agency
FlowMaps: Modeling Long-Term Multimodal Object Dynamics with Flow Matching
Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search
RoboSSM: Scalable In-context Imitation Learning via State-Space Models