3/18/2026
FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data
Foundation model for structured data with linear complexity for handling extremely large datasets in healthcare, finance, and e-commerce.
3/18/2026
Manifold-Matching Autoencoders
Unsupervised autoencoder regularization by aligning pairwise distances between latent and input spaces on learned manifolds.
3/18/2026
Deep Tabular Representation Corrector
Deep learning methods for tabular data using representation correction to improve on in-learning and pre-learning paradigms.
3/18/2026
When and Why Does Unsupervised RL Succeed in Mathematical Reasoning? A Manifold Envelopment Perspective
Analysis of when unsupervised reinforcement learning succeeds in LLM mathematical reasoning, addressing scalability of outcome-based RL.
3/18/2026
Self-Aware Markov Models for Discrete Reasoning
Method for discrete reasoning using self-aware Markov models that correct errors in masked diffusion models through adaptive denoising.
3/18/2026
Grid-World Representations in Transformers Reflect Predictive Geometry
Study on how Transformers develop internal geometric representations of grid-world environments through next-token prediction.
3/18/2026
The Cost of Reasoning: Chain-of-Thought Induces Overconfidence in Vision-Language Models
Study showing chain-of-thought prompting degrades uncertainty quantification in vision-language models despite improving reasoning.
3/18/2026
Understanding Quantization of Optimizer States in LLM Pre-training: Dynamics of State Staleness and Effectiveness of State Resets
Analysis of quantized optimizer states in LLM pre-training, studying state staleness and effectiveness of reset strategies.
3/18/2026
SpecMoE: Spectral Mixture-of-Experts Foundation Model for Cross-Species EEG Decoding
SpecMoE mixture-of-experts foundation model for cross-species EEG decoding with spectral and temporal signal analysis.
3/18/2026
A Practical Algorithm for Feature-Rich, Non-Stationary Bandit Problems
Contextual bandit algorithm combining dense arm features, non-linear rewards, and time-varying correlation for recommendations.
3/18/2026
pADAM: A Plug-and-Play All-in-One Diffusion Architecture for Multi-Physics Learning
pADAM generative framework learning shared probabilistic priors across heterogeneous PDE families for multi-physics simulation.
3/18/2026
SOMP: Scalable Gradient Inversion for Large Language Models via Subspace-Guided Orthogonal Matching Pursuit
SOMP algorithm for scaling gradient inversion attacks on LLMs, revealing privacy risks from shared gradients in large batch settings.
3/18/2026
Conservative Continuous-Time Treatment Optimization
Conservative stochastic control framework for treatment optimization from irregularly sampled medical patient trajectories.
3/18/2026
Adaptive Moments are Surprisingly Effective for Plug-and-Play Diffusion Sampling
Method using adaptive moment estimation to stabilize guided diffusion sampling for image restoration and generation tasks.
3/18/2026
High-Dimensional Gaussian Mean Estimation under Realizable Contamination
Research on Gaussian mean estimation under realizable contamination with missing data patterns.
3/18/2026
Stochastic Resetting Accelerates Policy Convergence in Reinforcement Learning
Stochastic resetting mechanism accelerates policy convergence in reinforcement learning on tabular environments.
3/18/2026
Dynamic Meta-Layer Aggregation for Byzantine-Robust Federated Learning
Dynamic meta-layer aggregation defends federated learning against Byzantine adversaries and untargeted attacks.
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
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
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
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
Learnability with Partial Labels and Adaptive Nearest Neighbors
Theoretical characterization of partial labels learning feasibility with adaptive nearest neighbors method.
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
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
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
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
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
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.