Tag Questions and the Generational Reversal of Sycophancy Across 45 Language Models
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Spectral Flow Certificates for Depth-Aware Long-Range Propagation in Graph Neural Networks
Transferable Latency Prediction for Fast LLM Screening on Heterogeneous Edge Devices
Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translat…
Procedural Knowledge Is Not Low-Rank: Why LoRA Fails to Internalize Multi-Step Procedures
FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills
AgentKVShift: Efficient KV Cache Reuse for Agentic Memory Systems
Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization
A Leakage-Free Stacked Ensemble Method for Multiclass Classification
Filling Before Advancing: Capability-Gap-Driven Post-Training for Scenario-Specialized Re…
AuditRepairBench: A Paired-Execution Trace Corpus for Evaluator-Channel Ranking Instabili…
Carpe Diem: Critical Learning Period-Aware Contract-Based Incentives for Federated Learni…
Learning to Prepare Molecular Ground States with Transformer Models
Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support
When Ethics and Payoffs Diverge: LLM Agents in Morally Charged Social Dilemmas
Self-Guided Process Reward Optimization with Redefined Step-wise Advantage for Process Re…
A Robust Pipeline for Differentially Private Federated Learning on Imbalanced Clinical Da…
MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Med…
Analyzing the Ethical Logic of Eight Large Language Models
An Ontology-Based Approach to Optimizing Geometry Problem Sets for Skill Development
From Hugging Face to GitHub: Tracing License Drift in the Open-Source AI Ecosystem
A Comparative Benchmark of Federated Learning Strategies for Mortality Prediction on Hete…
InteractComp: Evaluating Search Agents With Ambiguous Queries
CrypTorch: PyTorch-based Auto-tuning Compiler for Machine Learning with Multi-party Compu…
GPU-Accelerated ANNS: Quantized for Speed, Built for Change
Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observa…
Embodiment-Induced Coordination Regimes in Tabular Multi-Agent Q-Learning
Energy-based Tissue Manifolds for Longitudinal Multiparametric MRI Analysis
Simpson's Paradox in Behavioral Curves: How Aggregation Distorts Parametric Models of Use…
DriftXpress: Faster Drifting Models via Projected RKHS Fields