3/24/2026
A Framework for Low-Latency, LLM-driven Multimodal Interaction on the Pepper Robot
Framework integrating LLMs into Pepper robots with low-latency multimodal interaction, enabling speech processing and agentic control capabilities.
3/24/2026
Mitigating Selection Bias in Large Language Models via Permutation-Aware GRPO
Permutation-Aware GRPO method reducing selection bias in LLMs during multiple-choice evaluation by training models to produce consistent answers across option permutations.
3/24/2026
DSL-R1: From SQL to DSL for Training Retrieval Agents across Structured and Unstructured Data with Reinforcement Learning
DSL-R1 framework training retrieval agents via reinforcement learning to bridge structured metadata and unstructured content using domain-specific language.
3/24/2026
Knowledge Boundary Discovery for Large Language Models
Knowledge Boundary Discovery framework using reinforcement learning to systematically map what LLMs can and cannot answer reliably.
3/24/2026
TabPFN Extensions for Interpretable Geotechnical Modelling
TabPFN transformer model applied to geotechnical site characterization using sparse borehole data for uncertainty quantification and interpretability.
3/24/2026
Statistical Learning for Latent Embedding Alignment with Application to Brain Encoding and Decoding
Statistical learning framework for latent embedding alignment in brain encoding/decoding with limited fMRI data.
3/24/2026
Gradient Descent with Projection Finds Over-Parameterized Neural Networks for Learning Low-Degree Polynomials with Nearly Minimax Optimal Rate
Improved sample complexity bounds for training over-parameterized neural networks to learn low-degree spherical polynomials.
3/24/2026
ViCLSR: A Supervised Contrastive Learning Framework with Natural Language Inference for Natural Language Understanding Tasks
ViCLSR: contrastive learning framework improving Vietnamese NLU with limited annotated data through supervised representation learning.
3/24/2026
Learning to Optimize Joint Source and RIS-assisted Channel Encoding for Multi-User Semantic Communication Systems
Joint source and RIS-assisted channel encoding for multi-user semantic communications using DNNs for feature extraction.
3/24/2026
Frequency Switching Mechanism for Parameter-E!cient Multi-Task Learning
Free Sinewich: parameter-efficient multi-task learning framework enabling low-cost weight modulation via frequency switching.
3/24/2026
Ontology-driven personalized information retrieval for XML documents
Personalized XML document retrieval integrating domain ontologies and user profiles with semantic resources.
3/24/2026
Time-adaptive functional Gaussian Process regression
Functional Gaussian Process regression using Empirical Bayes for spatiotemporal random fields on manifolds.
3/24/2026
NeSy-Edge: Neuro-Symbolic Trustworthy Self-Healing in the Computing Continuum
Neuro-symbolic framework for self-healing resilience in edge computing environments spanning cloud to edge devices.
3/24/2026
Revisiting Tree Search for LLMs: Gumbel and Sequential Halving for Budget-Scalable Reasoning
Addresses scaling failure in AlphaZero-style tree search for LLMs using Gumbel sampling and sequential halving for budget-efficient reasoning.
3/24/2026
Architecture for Multi-Unmanned Aerial Vehicles based Autonomous Precision Agriculture Systems
Architectural framework for multi-UAV autonomous precision agriculture systems with algorithm abstractions.
3/24/2026
JANUS: A Lightweight Framework for Jailbreaking Text-to-Image Models via Distribution Optimization
JANUS framework for adversarial jailbreak attacks on text-to-image models using lightweight distribution optimization without RL.
3/24/2026
Accelerate Vector Diffusion Maps by Landmarks
Landmark-constrained algorithm to accelerate Vector Diffusion Maps framework for manifold learning on complex datasets.
3/24/2026
The Library Theorem: How External Organization Governs Agentic Reasoning Capacity
Formal analysis proving that AI agents with indexed external memory achieve exponential speedup in retrieval cost versus sequential scanning, advancing agentic reasoning.
3/24/2026
Closed-form conditional diffusion models for data assimilation
Closed-form analytical solution for conditional diffusion models in data assimilation, leveraging tractable score functions instead of neural networks.
3/24/2026
The Average Relative Entropy and Transpilation Depth determines the noise robustness in Variational Quantum Classifiers
Analysis of noise robustness in variational quantum classifiers based on entropy and transpilation depth.
3/24/2026
HELIX: Scaling Raw Audio Understanding with Hybrid Mamba-Attention Beyond the Quadratic Limit
HELIX: Hybrid Mamba-Attention framework for raw audio understanding with benchmarking beyond quadratic limits.
3/24/2026
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
FinRL-X: Modular open-source framework for quantitative trading with unified research-to-deployment pipeline.
3/24/2026
TimeTox: An LLM-Based Pipeline for Automated Extraction of Time Toxicity from Clinical Trial Protocols
TimeTox: LLM-based pipeline using Gemini for automated time toxicity extraction from clinical trial protocols.
3/24/2026
Generalized Discrete Diffusion from Snapshots
Generalized Discrete Diffusion from Snapshots framework supporting arbitrary noising processes over discrete state spaces.
3/24/2026
HamVision: Hamiltonian Dynamics as Inductive Bias for Medical Image Analysis
HamVision: Medical image analysis framework using Hamiltonian dynamics as inductive bias for segmentation.
3/24/2026
Task-Specific Efficiency Analysis: When Small Language Models Outperform Large Language Models
Comprehensive efficiency comparison of 16 language models across NLP tasks with novel Performance-Efficiency Ratio metric.
3/24/2026
Silent Commitment Failure in Instruction-Tuned Language Models: Evidence of Governability Divergence Across Architectures
Analysis of instruction-tuned LLM failure modes showing error detection gaps across architectures.
3/24/2026
Efficient Fine-Tuning Methods for Portuguese Question Answering: A Comparative Study of PEFT on BERTimbau and Exploratory Evaluation of Generative LLMs
Comparative study of PEFT and quantization techniques for fine-tuning BERTimbau on Portuguese QA tasks.
3/24/2026
DRTriton: Large-Scale Synthetic Data Reinforcement Learning for Triton Kernel Generation
DRTriton: Synthetic data reinforcement learning pipeline for automatic CUDA kernel generation from PyTorch.
3/24/2026
Beyond Correlation: Refutation-Validated Aspect-Based Sentiment Analysis for Explainable Energy Market Returns
Aspect-based sentiment analysis with refutation validation for energy market financial predictions.
3/24/2026
TaigiSpeech: A Low-Resource Real-World Speech Intent Dataset and Preliminary Results with Scalable Data Mining In-the-Wild
TaigiSpeech: Low-resource speech dataset in Taiwanese with 3k utterances and in-the-wild data mining approach.
3/24/2026
GaussianSSC: Triplane-Guided Directional Gaussian Fields for 3D Semantic Completion
GaussianSSC: 3D semantic scene completion using Gaussian-weighted fields and triplane guidance.
3/24/2026
CataractSAM-2: A Domain-Adapted Model for Anterior Segment Surgery Segmentation and Scalable Ground-Truth Annotation
CataractSAM-2: Domain-adapted Segment Anything Model 2 for surgical video segmentation and automated annotation.
3/24/2026
PRISM: Breaking the O(n) Memory Wall in Long-Context LLM Inference via O(1) Photonic Block Selection
PRISM: Photonic accelerator design achieving O(1) memory access for long-context LLM inference via block selection.
3/24/2026
Feature Incremental Clustering with Generalization Bounds
Algorithm for clustering data streams with incrementally expanding feature spaces, with theoretical guarantees.
3/24/2026
Rateless DeepJSCC for Broadcast Channels: a Rate-Distortion-Complexity Tradeoff
Deep learning approach for joint source-channel coding in wireless broadcast with rate-distortion tradeoffs.
3/24/2026
Engineering Distributed Governance for Regional Prosperity: A Socio-Technical Framework for Mitigating Under-Vibrancy via Human Data Engines
Framework for regional economic development using human data engines to address demographic decline in tourism.
3/24/2026
FedCVU: Federated Learning for Cross-View Video Understanding
Federated learning framework for privacy-preserving multi-camera video understanding across heterogeneous viewpoints.
3/24/2026
A Comparative Analysis of LLM Memorization at Statistical and Internal Levels: Cross-Model Commonalities and Model-Specific Signatures
Comparative study of memorization mechanisms across multiple LLM model series including Pythia and OpenLLaMa.
3/24/2026
Cross-Scenario Deraining Adaptation with Unpaired Data: Superpixel Structural Priors and Multi-Stage Pseudo-Rain Synthesis
Domain adaptation method for image deraining using unpaired data and pseudo-rain synthesis.
3/24/2026
SPINONet: Scalable Spiking Physics-informed Neural Operator for Computational Mechanics Applications
Energy-efficient spiking neural network for physics-informed operator learning in computational mechanics.
3/24/2026
CoNBONet: Conformalized Neuroscience-inspired Bayesian Operator Network for Reliability Analysis
Neuroscience-inspired surrogate model for fast reliability analysis of nonlinear stochastic dynamical systems.
3/24/2026
LipsAM: Lipschitz-Continuous Amplitude Modifier for Audio Signal Processing and its Application to Plug-and-Play Dereverberation
Lipschitz-continuous neural network architecture for certified robustness in audio signal processing.
3/24/2026
CurvZO: Adaptive Curvature-Guided Sparse Zeroth-Order Optimization for Efficient LLM Fine-Tuning
Memory-efficient zeroth-order optimization method with adaptive curvature guidance for fine-tuning large language models.
3/24/2026
Model selection in hybrid quantum neural networks with applications to quantum transformer architectures
Framework for model selection and evaluation of hybrid quantum-classical transformer architectures.
3/24/2026
Identifiability and amortized inference limitations in Kuramoto models
Amortized Bayesian inference method for parameter estimation in Kuramoto oscillator network models.
3/24/2026
Cluster-Specific Predictive Modeling: A Scalable Solution for Resource-Constrained Wi-Fi Controllers
Clustering-based predictive modeling approach for resource-constrained Wi-Fi network management.
3/24/2026
Ctrl-A: Control-Driven Online Data Augmentation
Automated data augmentation algorithm using control theory principles for dynamic adjustment during image model training.
3/24/2026
Not All Layers Are Created Equal: Adaptive LoRA Ranks for Personalized Image Generation
Adaptive approach for selecting LoRA ranks per layer in diffusion model fine-tuning for personalized image generation.
3/24/2026
A Novel Method for Enforcing Exactly Dirichlet, Neumann and Robin Conditions on Curved Domain Boundaries for Physics Informed Machine Learning
Method for enforcing boundary conditions in physics-informed neural networks on curved domains.