Beyond Static Models: An Evolving Framework for Continual Learning in Large Language Mode…
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AirFlow: Context Preserving and Multi-Rate State Modeling for Air Quality Forecasting
$\texttt{DisMorph}$: learning to disentangle technical distortions from true biological c…
Rethinking Self-Evolving Agents: Do We Still Need Prescribed Optimization Pipelines?
Defining Decentralization: An Ontological Perspective
LegoLM: Structured Weight Sharing for Large Language Models
CDGC-Net: 3D Medical Image Segmentation with Cooperative Dual-Scale Self-Attention and Gr…
Privileged Solutions or Context-Induced Teacher Behavior? Dissecting On-Policy Self-Disti…
Multi-Agent AI Safety as an Institutional Design Problem
Build it, Break it, Repeat: Benchmarking and improving LLM-manipulated disinformation det…
Continual Visual Anomaly Detection on the Edge: Benchmark and Efficient Solutions
Biologically Informed Representation Learning for Robust Cross-Center Generalization of M…
How to Ask the AI: A User Perspective Survey for Large Language Model Prompting
Learning Preference Adaptation for Large Language Model Personalization via Verbal Reinfo…
Temporal Generalization in fNIRS-Based Autism Classification: A Cross-Time-Window Transfe…
Governing the KV Cache: Preventing Timing Side-Channel Leakage in Multi-Tenant LLM Infere…
AeroDPO: Unleashing Lightweight UAV Navigation with High-Fidelity Perception and Automate…
IntelliAudit: Using Large Language Models to Evaluate Audit Controls
Mismatch Matters: On-Policy Distillation Beyond Token Agreement
Towards Expert-level Medical AI for Real-time Video Consultations
A Minimal $\kappa$--$\tau$ Logic for Risk-Sensitive Abduction
Coordinated incentives in AI-generated misinformation governance
Designing for Ethical AI: HCI Feature Considerations to Improve Fairness and User Experie…
ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs
Effect of Abstractions and Prompting Strategies on LLM-Guided High-Performance Optimizati…
Ouroboros: A Self-Developing Frontier Coding Agent with Reviewed Core Evolution
RL-Native Distillation: Exploiting Scored Trajectories for Few-Step Image Generation
NeuroPilot: An Agent-Driven Smart Pipeline for Processing, Quality Control, and Managing …
The Scaffolding Matters More Than the Interface: A Controlled Comparison of MCP and CLI T…
Tools to Explain Neural Networks for Power System Dynamics