From Shield to Target: Denial-of-Service Attacks on LLM-Based Agent Guardrails
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TRACE: Trajectory-Routed Causal Memory for Delayed-Evidence Visuomotor Imitation
SIMMER: Benchmarking Latent Failures in LLM Executable Planning with a World Model
CARE: Controlling LLM-Generated Policies through Auditable Review of Evidence in Scientif…
Sensitivity Shaping for Latent Modeling
When Errors Become Narratives: A Longitudinal Taxonomy of Silent Failures in a Production…
Moonlight in Latent Space: Chirality and Structural Correspondence Between Beethoven's Op…
When Good Verifiers Go Bad: Self-Improving VLMs Can Regress on New Tasks
AudioDER: A Deduplication-Enhanced Reasoning Dataset for Post-Training Large Audio-Langua…
Regulating the Machine Contributor: Governance and Policy Alignment in Open Source
A Comparative Study of Deep Learning Architectures for Multi-Horizon Behavioural Forecast…
Giving AI a Headache: Acoustic Adversarial Attacks to Computer Vision Applications
CottonLeafVision: An Explainable and Robust Deep Learning Framework for Cotton Leaf Disea…
Flood and Harvest: The Provable Necessity of Trivia for Generating Valuable Mathematics v…
Learning Coordinated Preference for Multi-Objective Multi-Agent Reinforcement Learning
ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins
LLM-Powered AI Agent Systems and Their Applications in Industry
Verbatim Chunks Beat Extracted Artifacts: A Controlled Ablation of Memory Representations…
Token-Level LLM Collaboration via FusionRoute
Optimizing Agentic Reasoning with Retrieval via Synthetic Semantic Information Gain Reward
FlexMS: A Unified Public Benchmark for Molecule Tandem Mass Spectrum Prediction
An Analysis of the Coordination Gap between Joint and Modular Learning for Job Shop Sched…
MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems
Federated Causal Inference from Multi-Site Observational Data via Propensity Score Aggreg…
DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation
UltraSketchLLM: Sub-1-Bit LLM Compression via Sketch and Hardware-Friendly Operators
Fusion of Pervasive RF Data with Spatial Images via Vision Transformers for Enhanced Mapp…
Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforce…
Q-Net: Queue Length Estimation via Kalman-based Neural Networks
Chronological Thinking in Full-Duplex Spoken Dialogue Language Models