2/24/2026
[b]=[d]-[t]+[p]: Self-supervised Speech Models Discover Phonological Vector Arithmetic
Analysis of self-supervised speech models across 96 languages showing phonological vector arithmetic structure.
2/24/2026
AAVGen: Precision Engineering of Adeno-associated Viral Capsids for Renal Selective Targeting
Machine learning method for engineering adeno-associated viral capsids for gene therapy delivery.
2/24/2026
Early Evidence of Vibe-Proving with Consumer LLMs: A Case Study on Spectral Region Characterization with ChatGPT-5.2 (Thinking)
Case study using ChatGPT-5 thinking mode to resolve mathematical conjecture on spectral regions.
2/24/2026
Why Agent Caching Fails and How to Fix It: Structured Intent Canonicalization with Few-Shot Learning
Analysis of why LLM caching methods fail and proposes intent canonicalization with few-shot learning for cost reduction.
2/24/2026
Implicit Bias and Convergence of Matrix Stochastic Mirror Descent
Convergence analysis of Stochastic Mirror Descent with matrix parameters in overparameterized regime.
2/24/2026
GUIDE-US: Grade-Informed Unpaired Distillation of Encoder Knowledge from Histopathology to Micro-UltraSound
Knowledge distillation method transferring histopathology embeddings to micro-ultrasound for prostate cancer grading.
2/24/2026
Capable but Unreliable: Canonical Path Deviation as a Causal Mechanism of Agent Failure in Long-Horizon Tasks
Analysis of language agent failures on tool-use tasks caused by canonical path deviation rather than capability limitations.
2/24/2026
The Metaphysics We Train: A Heideggerian Reading of Machine Learning
Philosophical phenomenological analysis of machine learning through Heideggerian concepts.
2/24/2026
IAPO: Information-Aware Policy Optimization for Token-Efficient Reasoning
IAPO: information-theoretic post-training framework for optimizing token efficiency in LLM reasoning chains.
2/24/2026
Ani3DHuman: Photorealistic 3D Human Animation with Self-guided Stochastic Sampling
Framework for photorealistic 3D human animation combining kinematics with video diffusion priors.
2/24/2026
Event-Triggered Gossip for Distributed Learning
Event-triggered gossip framework for distributed learning that reduces inter-node communication overhead.
2/24/2026
CaReFlow: Cyclic Adaptive Rectified Flow for Multimodal Fusion
CaReFlow method for multimodal fusion using rectified flow to address modality gap.
2/24/2026
Constrained Diffusion for Accelerated Structure Relaxation of Inorganic Solids with Point Defects
Generative framework using diffusion models for simulating point defects in inorganic solids.
2/24/2026
Beyond Behavioural Trade-Offs: Mechanistic Tracing of Pain-Pleasure Decisions in an LLM
Mechanistic interpretability study of how LLMs represent and use valence-related information in decision-making tasks.
2/24/2026
Controlled Face Manipulation and Synthesis for Data Augmentation
Deep learning method for facial expression manipulation and data augmentation using controllable image editing.
2/24/2026
Characterizing MARL for Energy Control: A Multi-KPI Benchmark on the CityLearn Environment
Benchmark for Multi-Agent Reinforcement Learning algorithms on urban energy management tasks using CityLearn environment.
2/24/2026
Attention Deficits in Language Models: Causal Explanations for Procedural Hallucinations
Mechanistic analysis of procedural hallucinations in LLMs showing attention and readout-stage routing errors cause value retrieval failures.
2/24/2026
Scaling Laws for Precision in High-Dimensional Linear Regression
Theoretical study of how low-precision training affects scaling laws in high-dimensional linear regression with implications for quantization.
2/24/2026
Robust Exploration in Directed Controller Synthesis via Reinforcement Learning with Soft Mixture-of-Experts
Uses soft mixture-of-experts RL for exploration in directed controller synthesis with improved zero-shot generalization to larger systems.
2/24/2026
Prognostics of Multisensor Systems with Unknown and Unlabeled Failure Modes via Bayesian Nonparametric Process Mixtures
Bayesian nonparametric approach for predictive maintenance handling unknown failure modes in manufacturing without labeled data.
2/24/2026
Metasurfaces-Integrated Wireless Neural Networks for Lightweight Over-The-Air Edge Inference
Proposes metasurfaces-integrated wireless networks for edge inference in 6G IoT systems with low latency and energy efficiency.
2/24/2026
TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics
TOPReward uses token probabilities from Vision-Language-Action models as zero-shot reward signals for robotics reinforcement learning without task-specific training.
2/24/2026
US-JEPA: A Joint Embedding Predictive Architecture for Medical Ultrasound
US-JEPA adapts Joint-Embedding Predictive Architectures for medical ultrasound by predicting masked latent representations instead of raw pixels.
2/24/2026
Dynamic Elasticity Between Forest Loss and Carbon Emissions: A Subnational Panel Analysis of the United States
Panel analysis quantifies relationship between forest loss and carbon emissions at subnational US scales using econometric methods.
2/24/2026
SplitLight: An Exploratory Toolkit for Recommender Systems Datasets and Splits
SplitLight open-source toolkit addresses reproducibility issues in recommender systems evaluation by exploring dataset preparation and splitting strategies.
2/24/2026
MentalBlackboard: Evaluating Spatial Visualization via Mathematical Transformations
MentalBlackboard benchmark evaluates Vision-Language Models on spatial visualization tasks like paper folding and hole punching.
2/24/2026
Vid2Sid: Videos Can Help Close the Sim2Real Gap
Vid2Sid uses video data to calibrate robot simulator physics parameters, addressing sim-to-real gap without manual tuning or black-box optimization.
2/24/2026
Seeing Farther and Smarter: Value-Guided Multi-Path Reflection for VLM Policy Optimization
Value-guided multi-path reflection method for optimizing Vision-Language Models in complex robotic manipulation through improved planning and reasoning.
2/24/2026
Adaptive Data Augmentation with Multi-armed Bandit: Sample-Efficient Embedding Calibration for Implicit Pattern Recognition
Multi-armed bandit approach for adaptive data augmentation to improve implicit pattern recognition in vision and language models.
2/24/2026
BioEnvSense: A Human-Centred Security Framework for Preventing Behaviour-Driven Cyber Incidents
Cybersecurity framework using CNN-LSTM model for biometric and environmental data analysis for context-aware security decisions.
2/24/2026
MACE-POLAR-1: A Polarisable Electrostatic Foundation Model for Molecular Chemistry
Foundation model for molecular chemistry extending MACE with explicit long-range electrostatic interactions and charge transfer modeling.
2/24/2026
IR$^3$: Contrastive Inverse Reinforcement Learning for Interpretable Detection and Mitigation of Reward Hacking
IR³ framework detects and mitigates reward hacking in RLHF by reverse-engineering and interpreting internalized objectives in LLM alignment.
2/24/2026
OptiRepair: Closed-Loop Diagnosis and Repair of Supply Chain Optimization Models with LLM Agents
OptiRepair uses LLM agents to diagnose and repair infeasible supply chain optimization models through closed-loop diagnosis and domain-agnostic repair.
2/24/2026
Laplacian Multi-scale Flow Matching for Generative Modeling
Laplacian multiscale flow matching framework for image generation using mixture-of-transformers with causal attention.
2/24/2026
Scale-PINN: Learning Efficient Physics-Informed Neural Networks Through Sequential Correction
Sequential correction algorithm for physics-informed neural networks, improving training efficiency and accuracy for PDE solving.
2/24/2026
Human-Guided Agentic AI for Multimodal Clinical Prediction: Lessons from the AgentDS Healthcare Benchmark
Human-guided agentic AI system for multimodal clinical prediction, combining autonomous workflows with domain expertise on AgentDS Healthcare benchmark.
2/24/2026
Relational Feature Caching for Accelerating Diffusion Transformers
Feature caching approach for diffusion transformers using relational information to accelerate inference beyond temporal extrapolation.
2/24/2026
Pyramid MoA: A Probabilistic Framework for Cost-Optimized Anytime Inference
Hierarchical Mixture-of-Agents architecture using lightweight router for cost-optimized LLM inference trading off accuracy and computational expense.
2/24/2026
Ada-RS: Adaptive Rejection Sampling for Selective Thinking
Adaptive Rejection Sampling framework for selective reasoning in LLMs, reducing token waste on simple requests while maintaining chain-of-thought benefits.
2/24/2026
Cost-Aware Diffusion Active Search
Cost-aware active search algorithm for autonomous agents to balance exploration and exploitation with unknown target recovery.
2/24/2026
Can a Teenager Fool an AI? Evaluating Low-Cost Cosmetic Attacks on Age Estimation Systems
Evaluates robustness of AI age estimation systems to cosmetic modifications using simulated physical changes.
2/24/2026
Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pretraining
Investigates HTML-to-text extraction methods for LLM pretraining datasets, showing single extractors lead to suboptimal web data coverage.
2/24/2026
Goal-Oriented Influence-Maximizing Data Acquisition for Learning and Optimization
Active data acquisition algorithm using inverse curvature for deep neural networks without explicit posterior inference.
2/24/2026
Manifold-Aligned Generative Transport
Framework for high-dimensional generative modeling using manifold learning to balance support fidelity and sampling efficiency.
2/24/2026
Workflow-Level Design Principles for Trustworthy GenAI in Automotive System Engineering
Design principles for integrating LLMs into automotive system engineering with focus on trustworthiness and verification in safety-critical pipelines.
2/24/2026
Denoising Particle Filters: Learning State Estimation with Single-Step Objectives
Proposes denoising particle filters for robot state estimation trained on single-step objectives rather than sequence unrolling.
2/24/2026
Personalized Longitudinal Medical Report Generation via Temporally-Aware Federated Adaptation
Federated learning approach for personalized longitudinal medical report generation respecting privacy with temporal dynamics.
2/24/2026
SkillOrchestra: Learning to Route Agents via Skill Transfer
SkillOrchestra system for routing across multiple AI agents via learned skill transfer, reducing routing collapse in multi-turn conversations.
2/24/2026
Universal Pose Pretraining for Generalizable Vision-Language-Action Policies
Vision-Language-Action models with universal pose pretraining for improved 3D state perception and embodied AI tasks.
2/24/2026
Ensemble Machine Learning and Statistical Procedures for Dynamic Predictions of Time-to-Event Outcomes
Ensemble machine learning methods for dynamic time-to-event predictions in precision medicine applications.