3/23/2026
Bridging Training and Merging Through Momentum-Aware Optimization
Unified framework maintaining factorized momentum states across neural network training and model merging to reduce redundant computation.
3/23/2026
Physics-Guided Temporal Fusion for Lane-Change Intention Prediction
Physics-informed temporal fusion framework (TPI-AI) for lane-change intention prediction combining LSTM with physics-inspired features for autonomous driving.
3/23/2026
Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
Self-Distilled Reasoner: on-policy self-distillation approach for LLM reasoning that addresses distribution mismatch without teacher models.
3/23/2026
Reinforcement Unlearning via Group Relative Policy Optimization
Reinforcement Unlearning via GRPO: technique for removing sensitive data from LLMs without retraining, compliant with GDPR and EU AI Act.
3/23/2026
A Sheaf-Theoretic and Topological Perspective on Complex Network Modeling and Attention Mechanisms in Graph Neural Models
Sheaf-theoretic and topological perspective on signal diffusion and attention mechanisms in graph neural networks and geometric deep learning.
3/23/2026
How Understanding Forecast Uncertainty Resolves the Explainability Problem in Machine Learning Models
Analysis of forecast uncertainty in machine learning explainability, addressing instability of LIME and SHAP near decision boundaries.
3/23/2026
StealthRL: Reinforcement Learning Paraphrase Attacks for Multi-Detector Evasion of AI-Text Detectors
StealthRL: RL framework using group relative policy optimization to test robustness of AI-text detectors against adversarial paraphrasing attacks.
3/23/2026
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula
Theoretical analysis of iterative self-improvement in LLMs using reward-verified outputs with easy-to-hard curriculum learning.
3/23/2026
A Pragmatic Method for Comparing Clusterings with Overlaps and Outliers
Method for comparing clustering algorithms with overlapping clusters and outliers in unsupervised learning evaluation.
3/23/2026
Spectral Convolution on Orbifolds for Geometric Deep Learning
Spectral convolution techniques for geometric deep learning on non-Euclidean data structures like graphs and manifolds.
3/23/2026
Federated Learning Playground
Interactive browser-based platform teaching federated learning concepts with real-time visualization of heterogeneous data and aggregation algorithms.
3/23/2026
mlx-vis: GPU-Accelerated Dimensionality Reduction and Visualization on Apple Silicon
mlx-vis: GPU-accelerated dimensionality reduction library for Apple Silicon implementing 8 methods with hardware-accelerated rendering.
3/23/2026
FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data
FEAT: linear-complexity foundation model for structured data handling heterogeneous datasets with improved attention mechanisms for large-scale applications.
3/23/2026
On the Cone Effect and Modality Gap in Medical Vision-Language Embeddings
Study of cone effect and modality gap in medical vision-language models, analyzing embedding concentration and cross-modal separation in supervised learning.
3/23/2026
AcceRL: A Distributed Asynchronous Reinforcement Learning and World Model Framework for Vision-Language-Action Models
AcceRL: distributed asynchronous RL framework for Vision-Language-Action models with integrated trainable world models, eliminating synchronization barriers.
3/23/2026
Balancing the Reasoning Load: Difficulty-Differentiated Policy Optimization with Length Redistribution for Efficient and Robust Reinforcement Learning
Difficulty-Differentiated Policy Optimization addresses Large Reasoning Models' overthinking and overconfidence by redistributing token allocation based on problem difficulty.
3/23/2026
Hyper-STTN: Hypergraph Augmented Spatial-Temporal Transformer Network for Trajectory Prediction
Hypergraph-augmented transformer network for crowd trajectory prediction using spatial-temporal interactions and group dynamics, applicable to robotics and autonomous driving.
3/23/2026
Community-Informed AI Models for Police Accountability
AI framework for analyzing bodyworn camera footage to improve police accountability and government transparency at scale.
3/23/2026
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies
Algorithm for uniformly sampling high-dimensional convex bodies via stochastic diffusion, achieving improved runtime complexity and Rényi divergence guarantees.
3/23/2026
Learning Representations for Independence Testing
Machine learning approach for learning representations to improve statistical independence testing between high-dimensional random variables with complex distributions.
3/23/2026
AtGCN: A Graph Convolutional Network For Ataxic Gait Detection
Graph convolutional network for detecting ataxic gait severity from 2D video, addressing subtle pathological variations in patient movement.
3/23/2026
LISAA: A Framework for Large Language Model Information Security Awareness Assessment
Framework for assessing information security awareness in LLMs, including security knowledge, attitudes, and behavior to improve rejection of unsafe requests.
3/23/2026
Investigating layer-selective transfer learning of QAOA parameters for Max-Cut problem
Research on transfer learning of QAOA parameters for quantum optimization on NISQ processors, focusing on layer-selective approaches for combinatorial problems.
3/23/2026
Interpretable Early Warnings using Machine Learning in an Online Game-experiment
Machine learning approach applying critical transition theory to detect early warning signals in Reddit r/place social experiment.
3/23/2026
A Phylogenetic Approach to Genomic Language Modeling
Genomic language model framework using phylogenetic trees and multispecies alignment for identifying evolutionarily constrained sequences.
3/23/2026
Understanding and Optimizing Multi-Stage AI Inference Pipelines
Analysis of multi-stage LLM inference pipelines including RAG, KV cache retrieval, routing, and reasoning with optimization strategies.
3/23/2026
Pseudo-Simulation for Autonomous Driving
Pseudo-simulation method for evaluating autonomous vehicles addressing limitations of real-world and closed-loop simulation evaluation.
3/23/2026
Principled Multimodal Representation Learning
Framework for multimodal representation learning through simultaneous alignment of diverse data modalities.
3/23/2026
On Policy Stochasticity in Mutual Information Optimal Control of Linear Systems
Theoretical analysis of policy stochasticity relationship with temperature parameter in mutual information optimal control.
3/23/2026
Superclass-Guided Representation Disentanglement for Spurious Correlation Mitigation
Method leveraging superclasses for representation disentanglement to mitigate spurious correlations and improve group robustness.
3/23/2026
Virtual Sensing for Solder Layer Degradation and Temperature Monitoring in IGBT Modules
Virtual sensing approach monitors IGBT module degradation and temperature using machine learning for reliability assurance.
3/23/2026
Evaluation-Aware Reinforcement Learning
Evaluation-Aware RL framework considers policy evaluation accuracy during training to reduce variance and bias.
3/23/2026
Discovering Intersectional Bias via Directional Alignment in Face Recognition Embeddings
Method for detecting intersectional bias in face recognition embeddings using directional alignment in latent space.
3/23/2026
CARES: Context-Aware Resolution Selector for VLMs
CARES lightweight module selects appropriate image resolution for vision-language models to reduce token overhead and latency.
3/23/2026
RobotArena $\infty$: Scalable Robot Benchmarking via Real-to-Sim Translation
RobotArena∞ enables scalable robot benchmarking through real-to-sim translation for evaluating diverse robotic agents.
3/23/2026
Rep2Text: Decoding Full Text from a Single LLM Token Representation
Rep2Text framework recovers original input text from single LLM token representation using trainable adapter for interpretability.
3/23/2026
FORWARD: Dataset of a forwarder operating in rough terrain
FORWARD dataset of heavy machinery operating in rough terrain with multimodal sensor data from Swedish forestry.
3/23/2026
FastMMoE: Accelerating Multimodal Large Language Models through Dynamic Expert Activation and Routing-Aware Token Pruning
FastMMoE accelerates multimodal LLM inference through dynamic expert activation and token pruning for reduced latency.
3/23/2026
3D-Consistent Multi-View Editing by Correspondence Guidance
Training-free guidance framework for consistent multi-view editing across different scene views using diffusion and flow models.
3/23/2026
Unsupervised Feature Selection via Robust Autoencoder and Adaptive Graph Learning
Unsupervised feature selection method using robust autoencoder and adaptive graph learning for high-dimensional data clustering.
3/23/2026
Dementia-R1: Reinforced Pretraining and Reasoning from Unstructured Clinical Notes for Real-World Dementia Prognosis
Dementia-R1 applies reinforced pretraining and reasoning to LLMs for longitudinal clinical prognosis from unstructured medical notes.
3/23/2026
A Multi-Perspective Benchmark and Moderation Model for Evaluating Safety and Adversarial Robustness
Benchmark and moderation model for evaluating LLM safety, adversarial robustness, and handling of nuanced harmful content detection.
3/23/2026
RayRoPE: Projective Ray Positional Encoding for Multi-view Attention
RayRoPE proposes positional encoding mechanism for multi-view transformers processing posed input images with SE(3)-invariant attention.
3/23/2026
Accelerating Large-Scale Cheminformatics Using a Byte-Offset Indexing Architecture for Terabyte-Scale Data Integration
Case study integrating PubChem, ChEMBL, and eMolecules using byte-offset indexing for terabyte-scale chemical database. Infrastructure for ML-driven molecular property prediction.
3/23/2026
LHAW: Controllable Underspecification for Long-Horizon Tasks
Framework for managing ambiguity in long-horizon workflow agents. Task-agnostic approach for curating and measuring impact of underspecified instructions on agent execution.
3/23/2026
Precedence-Constrained Decision Trees and Coverings
Optimization study of decision tree and set cover problems under precedence constraints. Theoretical computer science contribution.
3/23/2026
Guiding Diffusion-based Reconstruction with Contrastive Signals for Balanced Visual Representation
Method using diffusion models to enhance CLIP visual representations by improving both discriminative ability and fine-grained detail perception.
3/23/2026
Medical Image Spatial Grounding with Semantic Sampling
Study of vision language models for spatial grounding in 3D medical imaging. Examines VLM performance across imaging modalities and slice directions.
3/23/2026
AC-Foley: Reference-Audio-Guided Video-to-Audio Synthesis with Acoustic Transfer
AC-Foley framework for video-to-audio synthesis using reference audio guidance and acoustic transfer. Addresses semantic granularity and acoustic feature description challenges.
3/23/2026
ClawWorm: Self-Propagating Attacks Across LLM Agent Ecosystems
Security research on ClawWorm, self-propagating attacks across multi-agent LLM ecosystems. First study of attack propagation in interconnected agent systems like OpenClaw.