3/20/2026
OCP: Orthogonal Constrained Projection for Sparse Scaling in Industrial Commodity Recommendation
Proposes OCP method for improving item embeddings in large-scale commodity recommendation systems.
3/20/2026
Off-Policy Learning with Limited Supply
Studies off-policy learning in contextual bandits with supply constraints for recommendation and advertising systems.
3/20/2026
CausalRM: Causal-Theoretic Reward Modeling for RLHF from Observational User Feedbacks
Causal-theoretic approach for reward modeling using observational user feedback instead of expensive annotated data for RLHF alignment.
3/20/2026
Are complicated loss functions necessary for teaching LLMs to reason?
Ablation study examining necessity of components in Group Relative Policy Optimization for teaching LLMs reasoning and mathematical ability.
3/20/2026
Enhancing the Parameterization of Reservoir Properties for Data Assimilation Using Deep VAE-GAN
Deep VAE-GAN approach improving reservoir parameterization for data assimilation in petroleum reservoir simulation.
3/20/2026
Automatic Configuration of LLM Post-Training Pipelines
AutoPipe framework for automatically configuring LLM post-training pipelines combining supervised fine-tuning and reinforcement learning under budget constraints.
3/20/2026
Seasoning Generative Models for a Generalization Aftertaste
Study on using discriminators to enhance generative model training across GANs, weak learner frameworks, and diffusion models.
3/20/2026
DriftGuard: Mitigating Asynchronous Data Drift in Federated Learning
Method mitigating asynchronous data drift in federated learning where different devices experience different distribution shifts.
3/20/2026
Authority-Level Priors: An Under-Specified Constraint in Hierarchical Predictive Processing
Neuroscience framework introducing authority-level priors to hierarchical predictive processing for understanding autonomic regulation.
3/20/2026
Uniform a priori bounds and error analysis for the Adam stochastic gradient descent optimization method
Theoretical error analysis of Adam optimizer for training deep neural networks and beyond, addressing open research gaps.
3/20/2026
Neural Galerkin Normalizing Flow for Transition Probability Density Functions of Diffusion Models
Framework using normalizing flows to approximate diffusion process transition probability densities by solving Fokker-Planck equations.
3/20/2026
An Optimised Greedy-Weighted Ensemble Framework for Financial Loan Default Prediction
Ensemble framework for loan default prediction handling nonlinear relationships and class imbalance in financial datasets.
3/20/2026
Context Bootstrapped Reinforcement Learning
Method augmenting reinforcement learning from verifiable rewards with context bootstrapping to improve exploration and reasoning pattern acquisition.
3/20/2026
Balancing Performance and Fairness in Explainable AI for Anomaly Detection in Distributed Power Plants Monitoring
ML framework for anomaly detection in power plant monitoring systems balancing performance and fairness across regions.
3/20/2026
BVSIMC: Bayesian Variable Selection-Guided Inductive Matrix Completion for Improved and Interpretable Drug Discovery
Bayesian model for drug discovery incorporating variable selection and side information through inductive matrix completion.
3/20/2026
Maximum-Entropy Exploration with Future State-Action Visitation Measures
Intrinsic reward method for reinforcement learning agents maximizing entropy of future state-action visitation distributions.
3/20/2026
Book your room in the Turing Hotel! A symmetric and distributed Turing Test with multiple AIs and humans
Novel symmetric Turing Test variant where groups of LLMs and humans interact, judge, and respond in time-bounded discussions.
3/20/2026
AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science
Benchmarking study comparing AI agents' performance to human experts on domain-specific data science tasks, evaluating LLM-based automation of data science workflows.
3/20/2026
When Differential Privacy Meets Wireless Federated Learning: An Improved Analysis for Privacy and Convergence
Analysis of differential privacy guarantees and convergence in wireless federated learning without restrictive convexity assumptions.
3/20/2026
Communication-Efficient and Robust Multi-Modal Federated Learning via Latent-Space Consensus
CoMFed framework for communication-efficient federated learning with heterogeneous multimodal clients and privacy preservation.
3/20/2026
Position: Spectral GNNs Are Neither Spectral Nor Superior for Node Classification
Theoretical analysis questioning foundations of Spectral Graph Neural Networks for node classification tasks.
3/20/2026
On Optimizing Multimodal Jailbreaks for Spoken Language Models
Study of multimodal jailbreak attacks on Spoken Language Models using gradient-based optimization across text and audio modalities.
3/20/2026
From Inference Efficiency to Embodied Efficiency: Revisiting Efficiency Metrics for Vision-Language-Action Models
Research on efficiency metrics for Vision-Language-Action embodied agents, showing that parameter/FLOP counts don't reflect real robotic platform performance.
3/20/2026
Adaptive Regime-Aware Stock Price Prediction Using Autoencoder-Gated Dual Node Transformers with Reinforcement Learning Control
Stock prediction framework using autoencoders and transformers with reinforcement learning for adaptive market regime detection.
3/20/2026
Hierarchical Latent Structure Learning through Online Inference
Hierarchical Bayesian model for online latent-cause inference balancing generalization and discrimination in learning.
3/20/2026
SHAPCA: Consistent and Interpretable Explanations for Machine Learning Models on Spectroscopy Data
SHAPCA: interpretability framework combining SHAP and PCA for explainable ML on high-dimensional spectroscopy data.
3/20/2026
Enhancing Pretrained Model-based Continual Representation Learning via Guided Random Projection
Continual learning method using random projection layers with pretrained models for improved representation learning.
3/20/2026
DyMoE: Dynamic Expert Orchestration with Mixed-Precision Quantization for Efficient MoE Inference on Edge
DyMoE: dynamic expert selection with mixed-precision quantization for efficient MoE model inference on edge devices.
3/20/2026
SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits
SOL-ExecBench: 235-problem benchmark for CUDA kernel optimization against hardware efficiency limits for agentic AI systems.
3/20/2026
MIDST Challenge at SaTML 2025: Membership Inference over Diffusion-models-based Synthetic Tabular data
MIDST challenge evaluating membership inference attacks on synthetic tabular data generated by diffusion models.
3/20/2026
Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment
Statistical method for improving treatment effect estimation by aligning RCTs and observational studies under covariate mismatch.
3/20/2026
Robustness, Cost, and Attack-Surface Concentration in Phishing Detection
Security analysis of phishing detectors examining evasion costs and robustness under adversarial feature manipulation.
3/20/2026
Online Learning and Equilibrium Computation with Ranking Feedback
Online learning algorithms for sequential decision-making with ranking feedback instead of numeric utility feedback.
3/20/2026
Real-Time Trustworthiness Scoring for LLM Structured Outputs and Data Extraction
CONSTRUCT method for real-time trustworthiness scoring of LLM structured outputs and field-level error detection.
3/20/2026
MineDraft: A Framework for Batch Parallel Speculative Decoding
MineDraft framework for batch parallel speculative decoding to accelerate LLM inference by hiding draft and verify stages.
3/20/2026
Physically Accurate Differentiable Inverse Rendering for Radio Frequency Digital Twin
Differentiable rendering technique for RF digital twins enabling gradient-based optimization of radio frequency systems.
3/20/2026
KD-EKF: Knowledge-Distilled Adaptive Covariance EKF for Robust UWB/PDR Indoor Localization
Sensor fusion method combining UWB and inertial measurement for indoor localization under non-line-of-sight conditions.
3/20/2026
Semantic Chameleon: Corpus-Dependent Poisoning Attacks and Defenses in RAG Systems
Corpus poisoning attacks and defenses for RAG systems, demonstrating vulnerabilities in LLM-extended retrieval pipelines.
3/20/2026
Sharpness Aware Surrogate Training for Spiking Neural Networks
Training technique applying sharpness-aware minimization to spiking neural networks using surrogate gradient methods.
3/20/2026
A Novel Framework using Intuitionistic Fuzzy Logic with U-Net and U-Net++ Architecture: A case Study of MRI Bain Image Segmentation
Medical imaging method combining intuitionistic fuzzy logic with U-Net architectures for MRI brain image segmentation.
3/20/2026
An FPGA-Based SoC Architecture with a RISC-V Controller for Energy-Efficient Temporal-Coding Spiking Neural Networks
FPGA-based SoC architecture for spiking neural networks using RISC-V controller and event-driven computation for edge AI.
3/20/2026
A Synthesizable RTL Implementation of Predictive Coding Networks
Digital RTL architecture implementing predictive coding networks as alternative to backpropagation for distributed hardware learning.
3/20/2026
Generative Replica-Exchange: A Flow-based Framework for Accelerating Replica Exchange Simulations
Framework integrating deep generative models and normalizing flows to accelerate replica exchange molecular simulations.
3/20/2026
CytoSyn: a Foundation Diffusion Model for Histopathology -- Tech Report
Foundation diffusion model for computational pathology and histopathology image analysis with self-supervised learning.
3/20/2026
Q-Drift: Quantization-Aware Drift Correction for Diffusion Model Sampling
Quantization-aware drift correction method for diffusion model sampling to reduce degradation from post-training quantization noise.
3/20/2026
Training-Only Heterogeneous Image-Patch-Text Graph Supervision for Advancing Few-Shot Learning Adapters
Few-shot learning adapter for CLIP using patch-level and text supervision without increasing inference costs.
3/20/2026
STEP: Detecting Audio Backdoor Attacks via Stability-based Trigger Exposure Profiling
Defense mechanism against backdoor attacks in audio/speech models using stability-based trigger detection at inference time.
3/20/2026
Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI
Alternative training architecture for AI models using non-standard arithmetic and memory management for geometric and neuromorphic AI.
3/20/2026
Transfer Learning for Contextual Joint Assortment-Pricing under Cross-Market Heterogeneity
Transfer learning for pricing and assortment optimization across markets using multinomial logit choice models with bandit feedback.
3/20/2026
Insight-V++: Towards Advanced Long-Chain Visual Reasoning with Multimodal Large Language Models
Insight-V++ framework enables multi-agent visual reasoning for MLLMs with long-chain reasoning, addressing data scarcity and training optimization.