3/25/2026
Prompt Amplification and Zero-Shot Late Fusion in Audio-Language Models for Speech Emotion Recognition
Zero-shot late fusion method combining audio-language models with specialist models for speech emotion recognition.
3/25/2026
Machine Learning Models for the Early Detection of Burnout in Software Engineering: a Systematic Literature Review
Systematic literature review of machine learning approaches for early detection of burnout in software engineers.
3/25/2026
HGNet: Scalable Foundation Model for Automated Knowledge Graph Generation from Scientific Literature
Scalable foundation model for automated knowledge graph generation from scientific literature using domain-specific optimization.
3/25/2026
Conformal Cross-Modal Active Learning
Active learning method leveraging vision-language foundation models for data-efficient visual recognition.
3/25/2026
Robust Safety Monitoring of Language Models via Activation Watermarking
Safety monitoring approach for LLMs using activation watermarking to detect adaptive adversarial attacks during inference.
3/25/2026
Between Resolution Collapse and Variance Inflation: Weighted Conformal Anomaly Detection in Low-Data Regimes
Method for weighted conformal anomaly detection under distribution shifts in low-data regimes.
3/25/2026
Decoding AI Authorship: Can LLMs Truly Mimic Human Style Across Literature and Politics?
Evaluation of LLMs' ability to mimic authorial styles of literary and political figures using zero-shot prompting.
3/25/2026
MemCollab: Cross-Agent Memory Collaboration via Contrastive Trajectory Distillation
Framework for sharing memory systems across heterogeneous LLM-based agents via contrastive trajectory distillation to improve knowledge reuse.
3/25/2026
Is AI Catching Up to Human Expression? Exploring Emotion, Personality, Authorship, and Linguistic Style in English and Arabic with Six Large Language Models
Study evaluating whether six LLMs can emulate emotional expression and personality traits across English and Arabic languages.
3/25/2026
Not All Tokens Are Created Equal: Query-Efficient Jailbreak Fuzzing for LLMs
Research on query-efficient jailbreak fuzzing for LLMs that identifies token importance during prompt mutation to reduce redundant searching under query constraints.
3/25/2026
Drop-In Perceptual Optimization for 3D Gaussian Splatting
Perceptual optimization strategies for 3D Gaussian Splatting using distortion losses validated via large-scale human evaluation.
3/25/2026
Contextual Graph Matching with Correlated Gaussian Features
Information-theoretic analysis of contextual graph matching with correlated Gaussian features deriving recovery thresholds.
3/25/2026
ARGENT: Adaptive Hierarchical Image-Text Representations
ARGENT: vision-language model using hyperbolic geometry to capture hierarchical structure of visual and linguistic concepts.
3/25/2026
Contrastive Metric Learning for Point Cloud Segmentation in Highly Granular Detectors
Supervised contrastive metric learning for point cloud segmentation in particle detectors using density-based clustering.
3/25/2026
VTAM: Video-Tactile-Action Models for Complex Physical Interaction Beyond VLAs
VTAM: video-tactile-action model for embodied AI combining visual and tactile signals for contact-rich physical interaction.
3/25/2026
VISion On Request: Enhanced VLLM efficiency with sparse, dynamically selected, vision-language interactions
VISOR: efficiency method for vision-language models using sparse dynamically selected interactions instead of visual token reduction.
3/25/2026
MLFEF: Machine Learning Fusion Model with Empirical Formula to Explore the Momentum in Competitive Sports
Data-driven and empirical formula models to quantify momentum in competitive tennis matches.
3/25/2026
Reliable OOD Virtual Screening with Extrapolatory Pseudo-Label Matching
ML model for virtual screening in drug discovery handling out-of-distribution regions with extrapolatory pseudo-label matching.
3/25/2026
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency
Minimal Frame Averaging: framework for constructing provably minimal frames achieving exact equivariance in ML systems efficiently.
3/25/2026
Addressing Large Action Spaces in 3D Floorplanning via Spatial Generalization
Continuous action representation for 3D floorplanning addressing scalability bottlenecks from discrete canvas coordinates.
3/25/2026
Almost Sure Convergence of Linear Temporal Difference Learning with Arbitrary Features
Convergence analysis of linear temporal difference learning in reinforcement learning without requiring linearly independent features.
3/25/2026
Dataset Distillation-based Hybrid Federated Learning on Non-IID Data
HFLDD: hybrid federated learning framework using dataset distillation to address non-IID data heterogeneity and label distribution skew.
3/25/2026
DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA
DART-Eval: benchmark for evaluating DNA language models on regulatory DNA prediction, interpretation and design tasks.
3/25/2026
MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification
MSA-CNN: lightweight multi-scale CNN with attention mechanism for automatic sleep stage classification from signal data.
3/25/2026
Streaming Attention Approximation via Discrepancy Theory
BalanceKV: streaming algorithm for approximating attention computations in LLMs using geometric process to reduce memory requirements for long-context generation.
3/25/2026
Federated Learning for Data-Driven Feedforward Control: A Case Study on Vehicle Lateral Dynamics
Federated learning approach for designing data-driven feedforward control in vehicle lateral dynamics using distributed data across multiple systems.
3/25/2026
Multiplicative learning from observation-prediction ratios
Expectation Reflection: multiplicative parameter update paradigm for ML optimization using observation-prediction ratios instead of additive gradient descent.
3/25/2026
Architecture-Aware Minimization (A$^2$M): How to Find Flat Minima in Neural Architecture Search
Analysis of geometric properties and flatness in neural architecture search spaces.
3/25/2026
Leakage and Interpretability in Concept-Based Models
Information-theoretic framework for characterizing and measuring information leakage in concept-based models.
3/25/2026
Two Stage Wireless Federated LoRA Fine-Tuning with Sparsified Orthogonal Updates
Federated LoRA fine-tuning method for large language models with communication-efficient sparsified updates.
3/25/2026
Generalizable Heuristic Generation Through LLMs with Meta-Optimization
Meta-optimization approach for generating generalizable heuristics using LLMs for combinatorial optimization.
3/25/2026
Enhancing generalizability of model discovery across parameter space with multi-experiment equation learning (ME-EQL)
Multi-experiment equation learning method for deriving analytical models from agent-based simulation data.
3/25/2026
Learning The Minimum Action Distance
State representation learning from trajectories using minimum action distance metric for MDPs.
3/25/2026
UniCA: Unified Covariate Adaptation for Time Series Foundation Model
Foundation model adapter for time series forecasting with heterogeneous covariates and multimodal data.
3/25/2026
RedTopic: Toward Topic-Diverse Red Teaming of Large Language Models
Red teaming framework for systematically discovering diverse vulnerabilities in large language models.
3/25/2026
Graph Structure Learning with Privacy Guarantees for Open Graph Data
Privacy-preserving graph structure learning using differential privacy at data publishing stage.
3/25/2026
Reinforcement-Guided Hyper-Heuristic Hyperparameter Optimization for Fair and Explainable Spiking Neural Network-Based Financial Fraud Detection
Spiking neural network framework with hyperparameter optimization for fraud detection.
3/25/2026
TopoMap: A Feature-based Semantic Discriminator of the Topographical Regions in the Test Input Space
Testing framework for deep learning systems using topographical feature discrimination.
3/25/2026
FEDONet : Fourier-Embedded DeepONet for Spectrally Accurate Operator Learning
Fourier-embedded operator learning framework for solving partial differential equations.
3/25/2026
JaGuard: Position Error Correction of GNSS Jamming with Deep Temporal Graphs
Deep temporal graph method for correcting GNSS positioning errors from jamming attacks.
3/25/2026
Graph Variate Neural Networks
Graph neural network architecture for modeling spatio-temporal signals with dynamic structure.
3/25/2026
FTTE: Enabling Federated and Resource-Constrained Deep Edge Intelligence
Federated learning framework for training deep models on resource-constrained edge devices.
3/25/2026
Counterfactual Identifiability via Dynamic Optimal Transport
Method for identifying counterfactuals from observational data using optimal transport theory.
3/25/2026
Guided Star-Shaped Masked Diffusion
Novel sampling algorithm for masked diffusion models improving generation quality and efficiency.
3/25/2026
CSI-4CAST: A Hybrid Deep Learning Model for CSI Prediction with Comprehensive Robustness and Generalization Testing
Deep learning model for channel state information prediction in MIMO systems with robustness testing.
3/25/2026
On-device Semantic Selection Made Low Latency and Memory Efficient with Monolithic Forwarding
Optimizes on-device semantic selection with cross-encoder rerankers for retrieval, agent memory, and recommendations via monolithic forwarding.
3/25/2026
GUIrilla: A Scalable Framework for Automated Desktop UI Exploration
Scalable framework for automated desktop UI exploration to generate training data for LLM-based GUI understanding and automation.
3/25/2026
Parameter-Free Clustering via Self-Supervised Consensus Maximization (Extended Version)
Parameter-free clustering framework using self-supervised consensus maximization without requiring hyperparameter tuning.
3/25/2026
Data-Efficient and Robust Trajectory Generation through Pathlet Dictionary Learning
Pathlet dictionary learning approach for robust and interpretable trajectory generation in privacy-preserving urban mobility applications.
3/25/2026
Latent Diffusion Inversion Requires Understanding the Latent Space
Studies model inversion attacks on latent diffusion models, showing non-uniform memorization patterns in latent space.