3/25/2026
Voice Privacy from an Attribute-based Perspective
arXiv paper on voice privacy using attribute-based perspective to measure speaker anonymization effectiveness.
3/25/2026
An Industrial-Scale Retrieval-Augmented Generation Framework for Requirements Engineering: Empirical Evaluation with Automotive Manufacturing Data
Industrial-scale RAG framework evaluated on automotive manufacturing requirements engineering with unstructured heterogeneous documentation.
3/25/2026
MKA: Memory-Keyed Attention for Efficient Long-Context Reasoning
Memory-Keyed Attention: Efficient attention mechanism reducing KV cache memory for long-context LLM inference and training.
3/25/2026
LPNSR: Prior-Enhanced Diffusion Image Super-Resolution via LR-Guided Noise Prediction
LPNSR: Diffusion-based image super-resolution using LR-guided noise prediction. Addresses efficiency-quality trade-off.
3/25/2026
TRACE: A Multi-Agent System for Autonomous Physical Reasoning in Seismological
TRACE: Multi-agent system using autonomous reasoning for seismological analysis of earthquake mechanisms from geophysical observations.
3/25/2026
When Models Judge Themselves: Unsupervised Self-Evolution for Multimodal Reasoning
Unsupervised self-evolution training framework for multimodal LLMs achieving reasoning improvements without annotated data.
3/25/2026
DeepXplain: XAI-Guided Autonomous Defense Against Multi-Stage APT Campaigns
DeepXplain: Explainable deep reinforcement learning framework for multi-stage APT cyber defense with provenance graphs.
3/25/2026
LLM-Powered Workflow Optimization for Multidisciplinary Software Development: An Automotive Industry Case Study
Case study on LLM-powered workflow optimization for multidisciplinary software development in automotive industry.
3/25/2026
mSFT: Addressing Dataset Mixtures Overfitting Heterogeneously in Multi-task SFT
mSFT: Iterative algorithm addressing overfitting in multi-task supervised fine-tuning by heterogeneous data mixture optimization.
3/25/2026
BadminSense: Enabling Fine-Grained Badminton Stroke Evaluation on a Single Smartwatch
arXiv paper on smartwatch-based badminton stroke evaluation using wearable sensors and machine learning.
3/25/2026
Uncertainty-guided Compositional Alignment with Part-to-Whole Semantic Representativeness in Hyperbolic Vision-Language Models
arXiv paper on hyperbolic embeddings for vision-language models to capture hierarchical part-whole relationships.
3/25/2026
Beyond Matching to Tiles: Bridging Unaligned Aerial and Satellite Views for Vision-Only UAV Navigation
arXiv paper on UAV navigation using cross-view geo-localization in GNSS-denied environments. Computer vision focus.
3/25/2026
Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning
arXiv paper on safe offline reinforcement learning with budget constraints. Addresses safety-reward trade-offs in sequential decision making.
3/25/2026
Efficient Embedding-based Synthetic Data Generation for Complex Reasoning Tasks
Research on synthetic data generation using LLMs to improve smaller model fine-tuning. Analyzes diversity and distribution in embedding space.
3/25/2026
Between the Layers Lies the Truth: Uncertainty Estimation in LLMs Using Intra-Layer Local Information Scores
Uncertainty estimation method for LLMs using intra-layer local information scores from cross-layer agreement patterns.
3/25/2026
Scaling Attention via Feature Sparsity
Sparse Feature Attention method reducing transformer self-attention complexity through feature-level sparsity instead of sequence-level sparsity.
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.
3/25/2026
Research on Individual Trait Clustering and Development Pathway Adaptation Based on the K-means Algorithm
K-means clustering for career guidance pathway adaptation based on individual trait combinations.
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.
3/25/2026
Mitigating Premature Discretization with Progressive Quantization for Robust Vector Tokenization
Progressive Quantization method for robust vector tokenization in multimodal LLMs and diffusion models.
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 LLMs as autonomous agents in macro and sector asset allocation.
3/25/2026
Full waveform inversion method based on diffusion model
Diffusion model-based approach for seismic full-waveform inversion that regularizes nonlinear inverse problems.
3/25/2026
UniFluids: Unified Neural Operator Learning with Conditional Flow-matching
UniFluids: conditional flow-matching framework using diffusion Transformers to unify learning solution operators across diverse PDEs.
3/25/2026
A Multi-Modal CNN-LSTM Framework with Multi-Head Attention and Focal Loss for Real-Time Elderly Fall Detection
Multi-modal CNN-LSTM framework with attention and focal loss for real-time elderly fall detection.
3/25/2026
Enhancing AI-Based Tropical Cyclone Track and Intensity Forecasting via Systematic Bias Correction
Systematic bias correction methods for AI-based tropical cyclone track and intensity forecasting.
3/25/2026
Emergency Preemption Without Online Exploration: A Decision Transformer Approach
Decision Transformer approach for offline emergency vehicle signal preemption optimization without online exploration.
3/25/2026
ST-GDance++: A Scalable Spatial-Temporal Diffusion for Long-Duration Group Choreography
Scalable spatial-temporal diffusion model for long-duration group dance generation from music for entertainment applications.
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 that adaptively routes node representations across multiple Riemannian manifolds.
3/25/2026
A graph neural network based chemical mechanism reduction method for combustion applications
Graph neural network method using message-passing transformers for chemical mechanism reduction in combustion simulations.
3/25/2026
Sparsely-Supervised Data Assimilation via Physics-Informed Schr\"odinger Bridge
Physics-informed Schrödinger Bridge approach for data assimilation with sparse observations in PDE-governed systems.
3/25/2026
Bridging the Gap Between Climate Science and Machine Learning in Climate Model Emulation
Machine learning methods to emulate climate models and reduce computational costs while maintaining scientific validity.
3/25/2026
AEGIS: An Operational Infrastructure for Post-Market Governance of Adaptive Medical AI Under US and EU Regulations
Infrastructure framework for governance and post-market surveillance of adaptive medical AI systems under FDA and EU regulations.
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 in electric vehicles.
3/25/2026
DAQ: Delta-Aware Quantization for Post-Training LLM Weight Compression
Delta-Aware Quantization framework for post-training LLM weight compression that preserves knowledge by protecting small-magnitude parameter deltas during quantization.
3/25/2026
A Direct Classification Approach for Reliable Wind Ramp Event Forecasting under Severe Class Imbalance
Classification method for wind power ramp event forecasting addressing severe class imbalance in grid stability systems.
3/25/2026
Trained Persistent Memory for Frozen Decoder-Only LLMs
Method for adding trained persistent memory to frozen decoder-only LLMs using memory adapters in latent space.
3/25/2026
Conformal Risk Control for Safety-Critical Wildfire Evacuation Mapping: A Comparative Study of Tabular, Spatial, and Graph-Based Models
Distribution-free safety guarantees for wildfire evacuation mapping using conformal prediction with tabular, spatial, and graph models.
3/25/2026
Large Language Models for Missing Data Imputation: Understanding Behavior, Hallucination Effects, and Control Mechanisms
Comparative study of LLMs for missing data imputation with analysis of hallucination effects and control mechanisms.
3/25/2026
Graph Signal Processing Meets Mamba2: Adaptive Filter Bank via Delta Modulation
State-space model enhancement combining graph signal processing with Mamba2 for efficient language modeling.
3/25/2026
Problems with Chinchilla Approach 2: Systematic Biases in IsoFLOP Parabola Fits
Analysis of systematic biases in Chinchilla scaling law fitting method with implications for compute-optimal LLM allocation.
3/25/2026
Cloud-Edge Collaborative Large Models for Robust Photovoltaic Power Forecasting
Cloud-edge collaborative framework using large models for robust photovoltaic power forecasting with latency constraints.
3/25/2026
First-Mover Bias in Gradient Boosting Explanations: Mechanism, Detection, and Resolution
Research on first-mover bias in gradient boosting feature importance explanations under multicollinearity conditions.
3/25/2026
COMPASS-Hedge: Learning Safely Without Knowing the World
Online learning algorithm balancing regret guarantees in adversarial and stochastic settings with safety constraints.
3/25/2026
WIST: Web-Grounded Iterative Self-Play Tree for Domain-Targeted Reasoning Improvement
Web-grounded iterative self-play framework for improving LLM reasoning through reinforcement learning with verifiable rewards.
3/25/2026
Unveiling the Mechanism of Continuous Representation Full-Waveform Inversion: A Wave Based Neural Tangent Kernel Framework
Neural tangent kernel framework for understanding continuous representation full-waveform inversion in geophysical applications.
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 establishing equivalence between classifier-free guidance and alignment objectives in diffusion model training.
3/25/2026
FAAR: Format-Aware Adaptive Rounding for NVFP4
Format-aware quantization method for deploying LLMs on edge devices using NVFP4 ultra-low bit precision.
3/25/2026
Rethinking Multimodal Fusion for Time Series: Auxiliary Modalities Need Constrained Fusion
Research on multimodal fusion strategies for time series forecasting using text and vision modalities with constrained approaches.
3/25/2026
Three Creates All: You Only Sample 3 Steps
Multi-layer Time Embedding Optimization (MTEO) method for accelerating diffusion model inference by optimizing timestep conditioning for few-step sampling.
3/25/2026
Instruction-Tuned, but Not More Verifiable Instruction-Following: A Cross-Task Diagnosis for LoRA Adapters
Study evaluating whether LoRA adapters trained with instruction-tuning objectives actually improve instruction-following capability across different tasks using IFEval benchmarks.