3/30/2026
Quantization-Robust LLM Unlearning via Low-Rank Adaptation
Combines low-rank adaptation with quantization-aware unlearning to ensure LLM knowledge removal survives post-training 4-bit quantization.
3/30/2026
Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis
Golden Layers method improves LLM knowledge editing via layer gradient analysis to identify optimal depth for updating model predictions per query.
3/30/2026
cc-Shapley: Measuring Multivariate Feature Importance Needs Causal Context
cc-Shapley extends Shapley values for multivariate feature importance by incorporating causal context to address spurious associations.
3/30/2026
Efficient Continual Learning in Language Models via Thalamically Routed Cortical Columns
TRC² architecture for continual learning in LLMs preventing catastrophic forgetting through decoder-only thalamic routing of cortical columns.
3/30/2026
Coverage-Aware Web Crawling for Domain-Specific Supplier Discovery via a Web--Knowledge--Web Pipeline
Web-Knowledge-Web pipeline iteratively crawls domain sources and knowledge graphs to discover small/medium enterprise suppliers with improved database coverage.
3/30/2026
Sinkhorn-Drifting Generative Models
Establishes theoretical connection between drifting generative dynamics and Sinkhorn divergence-induced gradient flows with cross-minus-self decomposition.
3/30/2026
AgentTrace: Causal Graph Tracing for Root Cause Analysis in Deployed Multi-Agent Systems
AgentTrace framework for post-hoc root cause analysis in deployed multi-agent systems via causal graph reconstruction from execution logs.
3/30/2026
Massive Redundancy in Gradient Transport Enables Sparse Online Learning
Exploits massive redundancy in gradient transport to reduce real-time recurrent learning computational cost from O(n^4) via random sparsity patterns.
3/30/2026
Neural Uncertainty Principle: A Unified View of Adversarial Fragility and LLM Hallucination
Connects adversarial robustness and LLM hallucinations through shared geometric principle formalized as Neural Uncertainty Principle with irreducible uncertainty bounds.
3/30/2026
Benchmarking Scientific Machine Learning Models for Air Quality Data
Benchmarks physics-guided and deep learning models for air quality index forecasting on region-specific datasets.
3/30/2026
mSFT: Addressing Dataset Mixtures Overfitting Heterogeneously in Multi-task SFT
mSFT algorithm addresses overfitting in multi-task supervised fine-tuning by dynamically adjusting data mixture ratios based on task-specific learning dynamics.
3/30/2026
Decoupling Exploration and Policy Optimization: Uncertainty Guided Tree Search for Hard Exploration
Decouples exploration from policy optimization in RL using uncertainty-guided tree search for efficient autonomous exploration without intrinsic motivation.
3/30/2026
COMPASS-Hedge: Learning Safely Without Knowing the World
Online learning algorithm balancing regret guarantees in adversarial/stochastic settings with safety constraints via COMPASS-Hedge method.
3/30/2026
A Heterogeneous Long-Micro Scale Cascading Architecture for General Aviation Health Management
Architecture for aircraft health monitoring balancing accuracy and computational constraints under class imbalance and environmental uncertainty.
3/30/2026
AI Generalisation Gap In Comorbid Sleep Disorder Staging
Deep learning approach for automated sleep staging in stroke patients with analysis of generalization gaps in clinical populations using Grad-CAM interpretations.
3/30/2026
Steering Code LLMs with Activation Directions for Language and Library Control
Method for steering code LLMs toward specific programming languages and libraries by manipulating activation space directions at inference time, tested on five language/library pairs across three open-weight models.
3/30/2026
The Alignment Tax: Response Homogenization in Aligned LLMs and Its Implications for Uncertainty Estimation
Analysis of response homogenization in RLHF-aligned LLMs showing reduced uncertainty estimation and implications for sampling.
3/30/2026
Missing-Aware Multimodal Fusion for Unified Microservice Incident Management
Multimodal fusion approach for microservice incident detection handling missing modalities without static imputation.
3/30/2026
Uncertainty-Guided Label Rebalancing for CPS Safety Monitoring
Uncertainty-guided rebalancing technique for safety monitoring in cyber-physical systems with imbalanced time-series data.
3/30/2026
Does Audio Deepfake Detection Generalize?
Analysis of generalization in audio deepfake detection across datasets and model architectures.
3/30/2026
CACTO-SL: Using Sobolev Learning to improve Continuous Actor-Critic with Trajectory Optimization
Actor-critic reinforcement learning approach combining trajectory optimization with Sobolev learning for optimal control.
3/30/2026
Towards Knowledge Guided Pretraining Approaches for Multimodal Foundation Models: Applications in Remote Sensing
Knowledge-guided pretraining framework for multimodal foundation models applied to remote sensing applications.
3/30/2026
Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing
Reproducibility analysis of 10 graph-based neural recommender papers from SIGIR 2022 assessing methodology and impact.
3/30/2026
A Channel-Triggered Backdoor Attack on Wireless Semantic Image Reconstruction
Investigation of channel-triggered backdoor attacks on semantic communication image reconstruction systems.
3/30/2026
Curved representational Bregman divergences and their applications
Mathematical framework defining curved Bregman divergences and their properties for statistical analysis.
3/30/2026
Diffusion Recommender Models and the Illusion of Progress: A Concerning Study of Reproducibility and a Conceptual Mismatch
Reproducibility study of diffusion-based recommender systems identifying methodological issues and limited actual progress.
3/30/2026
Is Supervised Learning Really That Different from Unsupervised?
Theoretical analysis showing supervised learning can be decomposed into unsupervised parameter selection plus label addition.
3/30/2026
Advancing Exchange Rate Forecasting: Leveraging Machine Learning and AI for Enhanced Accuracy in Global Financial Markets
LSTM-based machine learning models for USD/BDT exchange rate forecasting using historical financial data.
3/30/2026
StreamDiT: Real-Time Streaming Text-to-Video Generation
Real-time streaming text-to-video generation model using transformer-based diffusion for interactive applications.
3/30/2026
Out-of-Sight Embodied Agents: Multimodal Tracking, Sensor Fusion, and Trajectory Forecasting
Multimodal approach for trajectory prediction with sensor fusion and tracking for embodied agents in occluded scenarios.
3/30/2026
ORIC: Benchmarking Object Recognition under Contextual Incongruity in Large Vision-Language Models
Benchmark (ORIC) examining vision-language model failures in object recognition under contextual incongruity scenarios.
3/30/2026
Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum
Study on alternative training objectives for LLM fine-tuning beyond negative log likelihood to improve generalization.
3/30/2026
Multi-Dimensional Autoscaling of Stream Processing Services on Edge Devices
Multi-dimensional autoscaling platform for stream processing services on edge devices with limited resources.
3/30/2026
Altruistic Ride Sharing: A Framework for Fair and Sustainable Urban Mobility via Peer-to-Peer Incentives
Framework for decentralized peer-to-peer ride-sharing with altruistic incentive structures to reduce congestion and emissions.
3/30/2026
Bayesian Optimization on Networks
Bayesian optimization algorithms on metric graphs using Gaussian process surrogates for expensive black-box function evaluation.
3/30/2026
GUI-AIMA: Aligning Intrinsic Multimodal Attention with a Context Anchor for GUI Grounding
GUI-AIMA alignment method for MLLMs to ground natural language instructions to UI regions, enabling computer-use agents via visual grounding.
3/30/2026
The Value of Personalized Recommendations: Evidence from Netflix
Econometric study of Netflix personalized recommendation value using discrete choice modeling, not ML development focused.
3/30/2026
PriVi: Towards A General-Purpose Video Model For Primate Behavior In The Wild
PriVi foundation model for primate behavior analysis in video, data-centric computer vision approach for non-human animal research.
3/30/2026
Architecting software monitors for control-flow anomaly detection through large language models and conformance checking
Framework combining LLMs and conformance checking for detecting control-flow anomalies in software monitoring, security application.
3/30/2026
WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning
WorldMM memory-augmented video LLM agent for reasoning over hours-long videos with multimodal memory, addressing long-context understanding.
3/30/2026
Hear What Matters! Text-conditioned Selective Video-to-Audio Generation
SELVA model for text-conditioned selective video-to-audio generation, enabling fine-grained audio control from multimodal video input.
3/30/2026
Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models
Nemotron-Cascade framework scaling reinforcement learning for general-purpose reasoning models, addressing heterogeneity in response lengths and verification latency.
3/30/2026
Uncovering Patterns of Brain Activity from EEG Data Consistently Associated with Cybersickness Using Neural Network Interpretability Maps
Neural network interpretability approach for identifying EEG patterns associated with cybersickness in VR, application of ML for neuroscience.
3/30/2026
ReflexSplit: Single Image Reflection Separation via Layer Fusion-Separation
Deep learning method for single image reflection separation using dual-stream architecture with cross-scale gated fusion, computer vision application.
3/30/2026
NRR-Phi: Text-to-State Mapping for Ambiguity Preservation in LLM Inference
Framework preserving ambiguity in LLM inference through non-collapsing state spaces, addressing premature semantic commitment in dialogue systems.
3/30/2026
Towards single-shot coherent imaging via overlap-free ptychography
Physics-based imaging technique extending ptychography to single-shot overlap-free coherent diffractive imaging, not AI/ML related.
3/30/2026
From Pixels to Patches: Pooling Strategies for Earth Embeddings
Analysis of pooling strategies for aggregating pixel-level embeddings from geospatial foundation models to patch-level representations.
3/30/2026
Entropy trajectory shape predicts LLM reasoning reliability: A diagnostic study of uncertainty dynamics in chain-of-thought
Diagnostic approach using entropy trajectory shapes to predict reasoning reliability in chain-of-thought LLM outputs, practical for uncertainty quantification.
3/30/2026
KALAVAI: Predicting When Independent Specialist Fusion Works -- A Quantitative Model for Post-Hoc Cooperative LLM Training
KALAVAI protocol predicting when independently trained specialist LLMs can be fused post-hoc, with quantitative formula for cooperative value estimation.
3/30/2026
MDKeyChunker: Single-Call LLM Enrichment with Rolling Keys and Key-Based Restructuring for High-Accuracy RAG
MDKeyChunker pipeline for structure-aware document chunking and single-call LLM enrichment to improve RAG accuracy, addressing semantic fragmentation in retrieval.