3/18/2026
Long-Horizon Traffic Forecasting via Incident-Aware Conformal Spatio-Temporal Transformers
Spatio-temporal transformer with conformal prediction for multi-horizon traffic forecasting using incident data.
3/18/2026
Efficient Reasoning on the Edge
Efficient chain-of-thought reasoning for edge deployment via compressed reasoning traces and smaller model distillation.
3/18/2026
An Efficient Global Optimization Algorithm with Adaptive Estimates of the Local Lipschitz Constants
HALO: deterministic partition-based global optimization using adaptive local Lipschitz constant estimates.
3/18/2026
NextMem: Towards Latent Factual Memory for LLM-based Agents
NextMem introduces latent factual memory for LLM-based agents, addressing catastrophic forgetting and context overhead.
3/18/2026
Improving Generative Adversarial Network Generalization for Facial Expression Synthesis
RegGAN improves facial expression synthesis generalization across different datasets using intermediate representations.
3/18/2026
Quantum Key Distribution Secured Federated Learning for Channel Estimation and Radar Spectrum Sensing in 6G Networks
Federated learning framework with quantum key distribution for wireless channel estimation and radar sensing in 6G.
3/18/2026
Recursive Language Models Meet Uncertainty: The Surprising Effectiveness of Self-Reflective Program Search for Long Context
Self-reflective recursive program search improves long-context handling in language models through programmatic decomposition.
3/18/2026
Machine Learning Based Identification of Solvents from Post-Desiccation Patterns
Neural network protocol for identifying solvents from desiccation fracture patterns via image analysis.
3/18/2026
I Know What I Don't Know: Latent Posterior Factor Models for Multi-Evidence Probabilistic Reasoning
Latent Posterior Factors framework for multi-evidence reasoning with explicit uncertainty quantification in unstructured data.
3/18/2026
Theoretical Foundations of Latent Posterior Factors: Formal Guarantees for Multi-Evidence Reasoning
Theoretical characterization of Latent Posterior Factors for aggregating multiple evidence in probabilistic prediction tasks.
3/18/2026
Beyond Distance: Quantifying Point Cloud Dynamics with Persistent Homology and Dynamic Optimal Transport
Framework for analyzing topological changes in point clouds using persistent homology and optimal transport metrics.
3/18/2026
PulmoVec: A Two-Stage Stacking Meta-Learning Architecture Built on the HeAR Foundation Model for Multi-Task Classification of Pediatric Respiratory Sounds
PulmoVec multi-task framework for pediatric respiratory disease classification using HeAR foundation model.
3/18/2026
S2Act: Simple Spiking Actor
Spiking neural networks for mobile robotics; biologically-inspired learning for power-constrained environments.
3/18/2026
MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification
MiroThinker-1.7 and H1 research agents with verification for complex long-horizon reasoning and multi-step problem solving.
3/18/2026
ClawWorm: Self-Propagating Attacks Across LLM Agent Ecosystems
ClawWorm: self-propagating attack demonstrating security vulnerabilities in multi-agent LLM ecosystems like OpenClaw.
3/18/2026
Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation
Simulation Distillation approach for sim-to-real transfer in robotics; pretrains world models for rapid real-world adaptation.
3/18/2026
Parallelised Differentiable Straightest Geodesics for 3D Meshes
Framework for computing differentiable geodesics on 3D meshes; enables parallelized Riemannian operators for mesh learning.
3/18/2026
Learnability with Partial Labels and Adaptive Nearest Neighbors
Theoretical characterization of partial labels learning feasibility with adaptive nearest neighbors method.
3/18/2026
FEEL (Force-Enhanced Egocentric Learning): A Dataset for Physical Action Understanding
FEEL dataset combining force measurements from piezoresistive gloves with egocentric video for physical action understanding.
3/18/2026
Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models
Behavioral Foundation Models baseline using regularized latent dynamics prediction for adaptive agent policies.
3/18/2026
Learning to Recall with Transformers Beyond Orthogonal Embeddings
Theoretical analysis of transformers for knowledge retrieval in LLMs beyond orthogonal embedding assumptions.
3/18/2026
A Family of LLMs Liberated from Static Vocabularies
Research on dynamic tokenization replacing fixed vocabularies in LLMs; hierarchical autoregressive approach for 70B parameter models.
3/18/2026
MAC: Multi-Agent Constitution Learning
Constitutional AI research on learning natural language rules automatically for LLM control via multi-agent framework.
3/18/2026
Something from Nothing: Data Augmentation for Robust Severity Level Estimation of Dysarthric Speech
Data augmentation framework using pseudo-labeling and unlabeled speech for robust dysarthric speech severity assessment.
3/18/2026
Mostly Text, Smart Visuals: Asymmetric Text-Visual Pruning for Large Vision-Language Models
Asymmetric pruning technique for vision-language models addressing modality-specific behaviors in text and visual token compression.
3/18/2026
RadAnnotate: Large Language Models for Efficient and Reliable Radiology Report Annotation
LLM-based framework using retrieval augmentation and confidence-based automation for efficient radiology report annotation in clinical NLP.
3/18/2026
Power Analysis for Prediction-Powered Inference
Power analysis framework for statistical inference on ML-predicted outcomes, addressing sample size determination for prediction-powered inference.
3/18/2026
Shuffling the Stochastic Mirror Descent via Dual Lipschitz Continuity and Kernel Conditioning
Theoretical analysis of stochastic mirror descent optimization without Lipschitz smoothness using relative smoothness framework.
3/18/2026
Safe Distributionally Robust Feature Selection under Covariate Shift
Feature selection method for distributionally robust learning maintaining reliability across diverse deployment environments with covariate shift.
3/18/2026
Attribution Upsampling should Redistribute, Not Interpolate
Attribution upsampling method using redistribution instead of interpolation to prevent corruption of saliency maps in explainable AI.
3/18/2026
Parallel In-context Learning for Large Vision Language Models
Parallel in-context learning technique for vision-language models reducing inference latency while maintaining demonstration effectiveness.
3/18/2026
Pre-training LLM without Learning Rate Decay Enhances Supervised Fine-Tuning
Study showing LLM pre-training without learning rate decay improves downstream supervised fine-tuning performance.
3/18/2026
When Generative Augmentation Hurts: A Benchmark Study of GAN and Diffusion Models for Bias Correction in AI Classification Systems
Benchmark comparing GAN and Stable Diffusion augmentation strategies for class imbalance correction in animal classification under low-data conditions.
3/18/2026
Communication-Aware Multi-Agent Reinforcement Learning for Decentralized Cooperative UAV Deployment
Graph-based multi-agent reinforcement learning for decentralized UAV swarm coordination under partial observability and communication constraints.
3/18/2026
Deep Adaptive Model-Based Design of Experiments
Deep Adaptive Design for efficient model-based design of experiments in nonlinear dynamical systems with offline neural network policies.
3/18/2026
ReFORM: Review-aggregated Profile Generation via LLM with Multi-Factor Attention for Restaurant Recommendation
LLM-based recommender system using review aggregation and multi-factor attention for restaurant recommendations.
3/18/2026
Locate-then-Sparsify: Attribution Guided Sparse Strategy for Visual Hallucination Mitigation
Attribution-guided sparse feature steering to mitigate hallucinations in large vision-language models without increasing inference cost.
3/18/2026
Learning to Predict, Discover, and Reason in High-Dimensional Discrete Event Sequences
Deep learning method for discovering error patterns in automotive diagnostic trouble codes and vehicle system fault characterization.
3/18/2026
An Interpretable Machine Learning Framework for Non-Small Cell Lung Cancer Drug Response Analysis
Machine learning framework for predicting drug response in non-small cell lung cancer using genetic and lifestyle data.
3/18/2026
Automated identification of Ichneumonoidea wasps via YOLO-based deep learning: Integrating HiresCam for Explainable AI
YOLO-based deep learning framework for automated wasp identification with explainable AI integration for biodiversity assessment.
3/18/2026
PashtoCorp: A 1.25-Billion-Word Corpus, Evaluation Suite, and Reproducible Pipeline for Low-Resource Language Development
1.25B-word corpus for Pashto with reproducible NLP pipeline, deduplication, and quality filtering across 39 sources.
3/18/2026
Encoding Predictability and Legibility for Style-Conditioned Diffusion Policy
Diffusion policy for robot motion balancing efficiency and legibility in human-robot collaboration through style conditioning.
3/18/2026
Controlling Fish Schools via Reinforcement Learning of Virtual Fish Movement
Reinforcement learning approach training virtual fish to control real fish schools, using 2D screen-displayed agents as alternatives to physical robots.
3/18/2026
IRIS: A Real-World Benchmark for Inverse Recovery and Identification of Physical Dynamic Systems from Monocular Video
High-fidelity benchmark with 220 real-world 4K videos for unsupervised physical parameter estimation and governing-equation identification.
3/18/2026
An approximate graph elicits detonation lattice
Graph theory algorithm for segmentation of detonation cells from 3D pressure traces in detonations research.
3/18/2026
REFORGE: Multi-modal Attacks Reveal Vulnerable Concept Unlearning in Image Generation Models
Multi-modal adversarial attacks exposing vulnerabilities in image generation model unlearning without full retraining.
3/18/2026
Omanic: Towards Step-wise Evaluation of Multi-hop Reasoning in Large Language Models
Omanic benchmark for step-level evaluation of multi-hop reasoning in LLMs with annotations for diagnosing reasoning failures.
3/18/2026
When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making
Framework for resource-aware LLM reasoning in embodied robotic agents using reinforcement learning to balance computation and action execution.
3/18/2026
Data-driven forced response analysis with min-max representations of nonlinear restoring forces
Data-driven nonlinearity identification method for mechanical systems using neural network activation functions.
3/18/2026
Probing Cultural Signals in Large Language Models through Author Profiling
Evaluation of cultural biases in LLMs through author profiling from song lyrics, detecting gender and ethnicity inference in zero-shot settings.