NeuralMUSIC: A Hybrid Neural-Subspace Framework for Robot Sound Source Localization
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When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Sy…
Ad Headline Generation using Self-Critical Masked Language Model
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Anno…
Imputation Meets Clustering: Exploiting Latent Subgroup Structure for Missing Data Recove…
Gradient-Based Speech-to-Text Alignment for Any ASR Model: From CTC to Speech LLMs
A Gold-Standard Study of What Makes a Lightweight Game-Playing Agent Strong
Self-Supervised Pretraining Improves Cross-Site and Cross-Scale Robustness of Point Cloud…
Open-Ended Scenario Reasoning for Specialist Model Adaptation
Entropy Pacing Policy Optimization for Multi-Task Agentic Reinforcement Learning
Dynamic-in-Few-Step: Unifying Dynamic Computation and Few-Step Distillation for Efficient…
ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning wit…
Specification Grounding Drives Test Effectiveness for LLM Code
SpaR3D-MoE: Adaptive 3D Spatial Reasoning from Sparse Views Meets Geometry-Inductive Mixt…
ReMoDEx: A Local-to-Global Relevance-Based Model Decision Explainability Framework for la…
Overview of the NLPCC 2026 Shared Task 1: Difficulty-Aware Multilingual and Multimodal Me…
At-Grok Is Not Converged:A Measurement-Validity Audit for Grokking Representation Metrics
Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering
Diffusion enabled Optimal Transport distances for graph matching
WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated…
PRoVeFL: Private Robust and Verifiable Aggregation in Federated Learning
Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and E…
Audio Sentiment Analysis via Distillation and Cross-Modal Integration of Generated Multil…
Deep Reinforcement Learning for Reliability Based Bi-Objective Portfolio Optimization
NEST: Tackling Dataset-Level Distribution Shifts via Regime-Oriented Mixture-of-Experts
TriRoute: Unified Learned Routing for Joint Adaptive Attention, Experts, and KV-Cache All…
MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices
D2PO: Optimizing Diffusion Samplers via Dynamic Preference
Can Reinforcement Learning Efficiently Discover Price Manipulation?
Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent …