Monotonic Kolmogorov-Arnold Networks: A Theoretical and Empirical Study of Monotonicity a…
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Noticias de IA
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Enhanced Graph Neural Networks using K-Hop Gaussian Diffusion
An expressivity analysis of hierarchical modelling in deep transformers via bounded-depth…
Reconfigurable Computing Challenge: Transformer for Jet Tagging on Versal AI Engines
Evidence of an Emergent "Self" in Continual Robot Learning
Mitigating Object Hallucinations in LVLMs via Attention Imbalance Rectification
A Learning Method with Gap-Aware Generation for Heterogeneous DAG Scheduling
Closing the Auto-Research Loop: An AI Co-Scientist for Production Search Ranking
Parallelizing Tool Execution and LLM Generation for Low-Latency Agent Serving
Rel-Zero: Harnessing Patch-Pair Invariance for Robust Zero-Watermarking Against AI Editing
Landmark-free Assessment of Lower-limb Alignment with Implicit Neural Shape Functions fro…
Driving, Fast or Slow? Neuro-Symbolic Guidance for Motion Prediction in Multi-Modal Groun…
Trust-Region Diffusion Policies for Massively Parallel On-Policy RL
CAP: Towards PPG Universal Representation Learning with Patient-level Supervision
Hybrid NARX-LLM for Greenland Iceberg Discharge: Prompt-Driven Residual Correction
LatentGym: A Testbed For Cross-Task Experiential Learning With Controllable Latent Struct…
S1-DeepResearch: Beyond Search, Toward Real-World Long-Horizon Research Agents
Hierarchical Modeling of ICD Codes in EHR Foundation Models
Who Drifted: the System or the Judge? Anytime-Valid Attribution in LLM Evaluation Pipelin…
Towards End-to-End Automation of AI Research
Synthetic Counteradaptation: A Principle of Human-AI Co-evolution
Toward Vibe Medicine: A Self-Evolving Multi-Agent Framework for Clinical Decision Support
Frame-Conditioned Moral Computation in LLaMA 3.1-8B-Instruct: A Mechanistic Interpretabil…
ToolMenuBench: Benchmarking Tool-Menu Filtering Strategies for Reliable and Efficient LLM…
QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks
Large Language Models as Optimizers: A Survey of Direct vs. Tool-Augmented Approaches and…
Agentic Retrieval and Reinforcement Learned Equation Chains: A Controlled Generation Fram…
Trust Between AI Agents: Measuring Formation, Breakage, and Recovery, with Implications f…
Thinking with Visual Grounding
LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis