3/25/2026
Latent Semantic Manifolds in Large Language Models
Mathematical framework interpreting LLM hidden states as points on latent semantic manifolds with Riemannian geometry and Voronoi partitions.
3/25/2026
Sample Transform Cost-Based Training-Free Hallucination Detector for Large Language Models
Training-free hallucination detector for LLMs using sample transform cost to measure output distribution complexity without fine-tuning.
3/25/2026
CN-Buzz2Portfolio: A Chinese-Market Dataset and Benchmark for LLM-Based Macro and Sector Asset Allocation from Daily Trending Financial News
Chinese financial news dataset and benchmark for evaluating LLM-based agents in macro and sector asset allocation decision-making.
3/25/2026
UniFluids: Unified Neural Operator Learning with Conditional Flow-matching
Conditional flow-matching framework using diffusion Transformers to unify learning of PDE solution operators across varying dimensionality.
3/25/2026
A Multi-Modal CNN-LSTM Framework with Multi-Head Attention and Focal Loss for Real-Time Elderly Fall Detection
CNN-LSTM framework with attention and focal loss for detecting falls in elderly individuals from multimodal sensor data.
3/25/2026
Enhancing AI-Based Tropical Cyclone Track and Intensity Forecasting via Systematic Bias Correction
AI-based tropical cyclone track and intensity forecasting with systematic bias correction on weather data.
3/25/2026
Emergency Preemption Without Online Exploration: A Decision Transformer Approach
Decision Transformer approach for optimizing emergency vehicle signal preemption using offline, return-conditioned sequence modeling.
3/25/2026
ST-GDance++: A Scalable Spatial-Temporal Diffusion for Long-Duration Group Choreography
Diffusion model for generating synchronized group dance choreography from music with spatial coordination for film/gaming.
3/25/2026
Geometric Mixture-of-Experts with Curvature-Guided Adaptive Routing for Graph Representation Learning
Geometric Mixture-of-Experts framework for graph representation learning using curvature-guided routing on heterogeneous topologies.
3/25/2026
Sparsely-Supervised Data Assimilation via Physics-Informed Schr\"odinger Bridge
Physics-informed Schrödinger bridge approach for data assimilation from sparse observations in PDE-governed systems.
3/25/2026
From Instructions to Assistance: a Dataset Aligning Instruction Manuals with Assembly Videos for Evaluating Multimodal LLMs
Dataset aligning instruction manuals with assembly videos for evaluating multimodal LLMs on real-world technical tasks.
3/25/2026
AEGIS: An Operational Infrastructure for Post-Market Governance of Adaptive Medical AI Under US and EU Regulations
AEGIS infrastructure for governance of adaptive medical AI systems under FDA and EU regulations with continuous improvement.
3/25/2026
A Multi-Task Targeted Learning Framework for Lithium-Ion Battery State-of-Health and Remaining Useful Life
Multi-task deep learning framework for predicting lithium-ion battery state-of-health and remaining useful life.
3/25/2026
DAQ: Delta-Aware Quantization for Post-Training LLM Weight Compression
Delta-Aware Quantization framework for post-training LLM compression that preserves knowledge from alignment fine-tuning.
3/25/2026
A Direct Classification Approach for Reliable Wind Ramp Event Forecasting under Severe Class Imbalance
Classification approach for wind power ramp event forecasting under severe class imbalance for grid stability.
3/25/2026
AgentSLR: Automating Systematic Literature Reviews in Epidemiology with Agentic AI
AgentSLR uses agentic AI to automate systematic literature reviews in epidemiology from retrieval through synthesis.
3/25/2026
Trained Persistent Memory for Frozen Decoder-Only LLMs
Method for adding trained persistent memory to frozen decoder-only LLMs without cross-attention mechanisms.
3/25/2026
Conformal Risk Control for Safety-Critical Wildfire Evacuation Mapping: A Comparative Study of Tabular, Spatial, and Graph-Based Models
Applies conformal prediction for formal safety guarantees in wildfire spread prediction using tabular, spatial, and graph models.
3/25/2026
Large Language Models for Missing Data Imputation: Understanding Behavior, Hallucination Effects, and Control Mechanisms
Comprehensive study of LLM-based data imputation across multiple models and datasets, analyzing hallucination effects and control mechanisms.
3/25/2026
Graph Signal Processing Meets Mamba2: Adaptive Filter Bank via Delta Modulation
Combines graph signal processing with Mamba2 state-space models to create adaptive filter banks for language modeling.
3/25/2026
Causal Direct Preference Optimization for Distributionally Robust Generative Recommendation
Causal Direct Preference Optimization method for training LLMs to generate recommendations while mitigating spurious correlations.
3/25/2026
Graphs RAG at Scale: Beyond Retrieval-Augmented Generation With Labeled Property Graphs and Resource Description Framework for Complex and Unknown Search Spaces
Graph RAG framework combining labeled property graphs and RDF for retrieval-augmented generation over structured and semi-structured data.
3/25/2026
T-MAP: Red-Teaming LLM Agents with Trajectory-aware Evolutionary Search
T-MAP uses evolutionary search to red-team LLM agents by exploiting multi-step tool execution vulnerabilities in MCP ecosystems.
3/25/2026
First-Mover Bias in Gradient Boosting Explanations: Mechanism, Detection, and Resolution
Analysis of feature importance bias in gradient boosting models under multicollinearity, affecting SHAP-based explanations.
3/25/2026
WIST: Web-Grounded Iterative Self-Play Tree for Domain-Targeted Reasoning Improvement
WIST framework uses web-grounded iterative self-play with reinforcement learning to improve LLM reasoning in specific domains.
3/25/2026
Bridging neuroscience and AI: adaptive, culturally sensitive technologies transforming aphasia rehabilitation
Review of neuroscience and language technologies for aphasia rehabilitation using personalized, culturally sensitive AI tools.
3/25/2026
Unveiling the Mechanism of Continuous Representation Full-Waveform Inversion: A Wave Based Neural Tangent Kernel Framework
Theoretical analysis of full-waveform inversion using neural tangent kernel framework for geophysical and medical imaging.
3/25/2026
Early Discoveries of Algorithmist I: Promise of Provable Algorithm Synthesis at Scale
Study on using LLMs for algorithm synthesis with provable guarantees, combining mathematical reasoning with practical performance.
3/25/2026
MCLR: Improving Conditional Modeling in Visual Generative Models via Inter-Class Likelihood-Ratio Maximization and Establishing the Equivalence between Classifier-Free Guidance and Alignment Objectives
Research on improving conditional modeling in diffusion models, establishing equivalence between classifier-free guidance and alignment objectives.
3/25/2026
Q-AGNN: Quantum-Enhanced Attentive Graph Neural Network for Intrusion Detection
Quantum-enhanced graph neural network for network intrusion detection exploiting relational dependencies in traffic flows.
3/25/2026
Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks
Quantum federated autoencoder framework for anomaly detection in IoT networks using quantum computing and federated learning.
3/25/2026
Reasoner-Executor-Synthesizer: Scalable Agentic Architecture with Static O(1) Context Window
Proposes Reasoner-Executor-Synthesizer architecture for LLM agents that maintains O(1) context window while avoiding hallucination and token cost scaling.
3/25/2026
When Visuals Aren't the Problem: Evaluating Vision-Language Models on Misleading Data Visualizations
Research evaluating Vision-Language Models' ability to detect misleading data visualizations and deceptive captions in charts.
3/25/2026
SynLeaF: A Dual-Stage Multimodal Fusion Framework for Synthetic Lethality Prediction Across Pan- and Single-Cancer Contexts
Multimodal fusion framework for synthetic lethality prediction in cancer drug development addressing modality laziness problem.
3/25/2026
FAAR: Format-Aware Adaptive Rounding for NVFP4
FAAR quantization method for NVFP4 ultra-low-bit format that adapts rounding to non-uniform numerical grid for efficient LLM edge deployment.
3/25/2026
Rethinking Multimodal Fusion for Time Series: Auxiliary Modalities Need Constrained Fusion
Study on multimodal fusion strategies for time series forecasting showing naive fusion fails and proposing constrained fusion approach.
3/25/2026
Three Creates All: You Only Sample 3 Steps
MTEO method for few-step diffusion sampling by distilling layer-wise, step-wise time embeddings to accelerate inference.
3/25/2026
AI Co-Scientist for Ranking: Discovering Novel Search Ranking Models alongside LLM-based AI Agents with Cloud Computing Access
AI Co-Scientist framework combining LLM agents with cloud computing to automate search ranking research from ideation through GPU training.
3/25/2026
Abnormalities and Disease Detection in Gastro-Intestinal Tract Images
PhD thesis on classification and segmentation of gastrointestinal tract images for real-time medical diagnosis applications.
3/25/2026
Instruction-Tuned, but Not More Verifiable Instruction-Following: A Cross-Task Diagnosis for LoRA Adapters
Cross-task evaluation study of LoRA adapters showing nominal instruction-tuning labels don't reliably predict realized instruction-following capabilities.
3/25/2026
Symbolic Graph Networks for Robust PDE Discovery from Noisy Sparse Data
Symbolic Graph Network framework for discovering partial differential equations from noisy sparse data without numerical differentiation.
3/25/2026
Learning When to Act: Interval-Aware Reinforcement Learning with Predictive Temporal Structure
Adaptive temporal control system for autonomous agents that learns optimal action intervals using hyperbolic geometry predictive signals.
3/25/2026
Latent Style-based Quantum Wasserstein GAN for Drug Design
Quantum Wasserstein GAN with latent style representation for de novo drug design using generative AI.
3/25/2026
CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
Open-source framework (CaP-X) for benchmarking and improving code-as-policy agents for robot manipulation tasks.
3/25/2026
Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs
Token-level analysis of distributional shifts in RLVR fine-tuning of LLMs to understand mechanisms underlying reasoning improvements.
3/25/2026
LLM-guided headline rewriting for clickability enhancement without clickbait
LLM-guided headline rewriting system that enhances reader engagement while maintaining editorial integrity and avoiding clickbait.
3/25/2026
Color When It Counts: Grayscale-Guided Online Triggering for Always-On Streaming Video Sensing
Edge AI video sensing paradigm using grayscale capture with selective RGB frames to reduce bandwidth and computational requirements.
3/25/2026
Stability-Preserving Online Adaptation of Neural Closed-loop Maps
Online adaptation method for neural closed-loop control systems that preserves stability while updating controllers during operation.
3/25/2026
Functional Component Ablation Reveals Specialization Patterns in Hybrid Language Model Architectures
Ablation study analyzing specialization patterns in hybrid language models combining attention with state space models on sub-1B parameter models.
3/25/2026
Cognitive Training for Language Models: Towards General Capabilities via Cross-Entropy Games
Framework for building language model general capabilities via automatic curriculum of cross-entropy game tasks for relevant skill discovery.