Ax Soudeep Ghoshal, Himanshu Buckchash, Sarita Paudel, Rub\'en Ruiz-Torrubiano 3/24/2026

NDT: Non-Differential Transformer and Its Application to Sentiment Analysis

Non-Differential Transformer architecture for improved sentiment analysis in text, inspired by Differential Transformer variants.

Ax Zihao Zheng, Hangyu Cao, Jiayu Chen, Sicheng Tian, Chenyue Li, Maoliang Li, Xinhao Sun, Guojie Luo, Xiang Chen 3/24/2026

RoboECC: Multi-Factor-Aware Edge-Cloud Collaborative Deployment for VLA Models

RoboECC edge-cloud collaborative deployment framework for Vision-Language-Action models enabling real-time embodied AI inference.

Ax Zacharie Bugaud 3/24/2026

Multi-RF Fusion with Multi-GNN Blending for Molecular Property Prediction

Multi-RF Fusion ensemble method achieving top OGB leaderboard rank for molecular property prediction via Random Forests and GNNs.

Ax Kaiyuan Li, Jing-Cheng Pang, Yang Yu 3/24/2026

RLVR Training of LLMs Does Not Improve Thinking Ability for General QA: Evaluation Method and a Simple Solution

Evaluation and solution for improving general QA performance of LLMs trained with reinforcement learning from verifiable rewards.

Ax Enguang Wang, Qiang Wang, Yuanchen Wu, Ke Yan, Xinbin Yuan, Shouhong Ding, Xialei Liu, Ming-Ming Cheng 3/24/2026

Predictive Regularization Against Visual Representation Degradation in Multimodal Large Language Models

Study of visual representation degradation in MLLMs with predictive regularization technique to preserve visual competence during language training.

Ax Milos Gravara, Juan Luis Herrera, Stefan Nastic 3/24/2026

Compass: Optimizing Compound AI Workflows for Dynamic Adaptation

Compass framework for optimizing compound AI workflows across multiple specialized models with dynamic adaptation under varying loads.

Ax Yujin Park, Haejun Chung, Ikbeom Jang 3/24/2026

Dodgersort: Uncertainty-Aware VLM-Guided Human-in-the-Loop Pairwise Ranking

Dodgersort system for efficient pairwise ranking via CLIP-based pre-ordering, neural ranking, and uncertainty-aware pair selection.

Ax Xiangyu Zeng, Qi Xu, Yunke Wang, Chang Xu 3/24/2026

HiCI: Hierarchical Construction-Integration for Long-Context Attention

HiCI hierarchical attention module for long-context language modeling with segment-level and global context integration.

Ax Siddharth Srivastava, Adam Smith, Scott Brooks, Jack Bacon, Till Bretschneider 3/24/2026

Ensemble of Small Classifiers For Imbalanced White Blood Cell Classification

Lightweight ensemble approach for white blood cell classification addressing class imbalance in medical imaging.

Ax Tianyou Lai, Wentao Yue, Jiayi Zhou, Chaoyuan Hao, Lingke Chang, Qingyu Mao, Zhibo Niu, Qilei Li 3/24/2026

ReLaMix: Residual Latency-Aware Mixing for Delay-Robust Financial Time-Series Forecasting

Time-series forecasting method for financial markets handling delayed/stale observations via residual latency-aware mixing.

Ax Kaustubh D. Dhole, Eugene Agichtein 3/24/2026

RubricRAG: Towards Interpretable and Reliable LLM Evaluation via Domain Knowledge Retrieval for Rubric Generation

RubricRAG system for interpretable LLM evaluation via domain knowledge retrieval to generate detailed rubrics instead of scalar scores.

Ax Melissa Adrian, Daniel Sanz-Alonso, Rebecca Willett 3/24/2026

Auto-differentiable data assimilation: Co-learning of states, dynamics, and filtering algorithms

Framework for jointly learning state, dynamics, and filtering algorithm parameters in data assimilation via auto-differentiable filtering.

Ax Tanay Varshney, Annie Surla, Michelle Xu, Gomathy Venkata Krishnan, Maximilian Jeblick, David Austin, Neal Vaidya, Davide Onofrio 3/24/2026

LLM Router: Prefill is All You Need

Router mechanism for LLMs using internal prefill activations and Encoder-Target Decoupling to route queries to best-performing models.

Ax Lisan Al Amin, Md Ismail Hossain, Rupak Kumar Das, Mahbubul Islam, Saddam Mukta, Abdulaziz Tabbakh 3/24/2026

Democratizing AI: A Comparative Study in Deep Learning Efficiency and Future Trends in Computational Processing

Benchmark study of deep learning model efficiency comparing Conv6, VGG16, and other architectures under computational constraints.

Ax Gregorio Maglione, Veselin Rakocevic, Markus Amend, Touraj Soleymani 3/24/2026

Deep Adaptive Rate Allocation in Volatile Heterogeneous Wireless Networks

Machine learning approach for adaptive rate allocation in 5G+ networks handling rapid wireless link quality fluctuations in mobile environments.

Ax Bert de Vries 3/24/2026

Active Inference for Physical AI Agents -- An Engineering Perspective

Framework applying Active Inference and Free Energy Principle to physical AI agents and robots operating under resource constraints in real-world environments.

Ax Debdeep Pati 3/24/2026

Stability of Sequential and Parallel Coordinate Ascent Variational Inference

Theoretical analysis of coordinate ascent variational inference stability differences in sequential vs parallel variants for high-dimensional linear regression.

Ax Leandro Vignolo, Matias Gerard 3/24/2026

MOELIGA: a multi-objective evolutionary approach for feature selection with local improvement

MOELIGA multi-objective evolutionary algorithm for feature selection balancing subset size and classification accuracy.

Ax Bo Jiang 3/24/2026

DiscoUQ: Structured Disagreement Analysis for Uncertainty Quantification in LLM Agent Ensembles

DiscoUQ framework extracts semantic structure from disagreement patterns in multi-agent LLM ensembles for improved uncertainty quantification.

Ax Benedikt Hornig, Reuth Mirsky 3/24/2026

The Intelligent Disobedience Game: Formulating Disobedience in Stackelberg Games and Markov Decision Processes

Intelligent Disobedience Game formalizes shared autonomy scenarios where systems must override human instructions for safety using game theory.

Ax Rushikesh Deotale, Adithya Srinivasan, Yuan Tian, Tianyi Zhang, Pavlos Vlachos, Hector Gomez 3/24/2026

ALL-FEM: Agentic Large Language models Fine-tuned for Finite Element Methods

ALL-FEM framework fine-tunes LLMs to automatically generate and analyze finite element method code for engineering simulations.

Ax Erich Studerus, Vivienne Jia Zhong, Stephan Vonschallen 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.

Ax Jinquan Zheng, Jia Yuan, Jiacheng Yao, Chenyang Gu, Pujun Zheng, Guoxiu He 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.

Ax Yunhai Hu, Junwei Zhou, Yumo Cao, Yitao Long, Yiwei Xu, Qiyi Jiang, Weiyao Wang, Xiaoyu Cao, Zhen Sun, Yiran Zou, Nan Du 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.

Ax Ziquan Wang, Zhongqi Lu 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.

Ax Taiga Saito, Yu Otake, Daijiro Mizutani, Stephen Wu 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.

Ax Shuoxun Xu, Zhanhao Yan, Lexin Li 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.

Ax Yingzhen Yang, Ping Li 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.

Ax Tin Van Huynh, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen 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.

Ax Haidong Wang, Songhan Zhao, Bo Gu, Shimin Gong, Hongyang Du, Ping Wang 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.

Ax Shih-Wen Liu, Yen-Chang Chen, Wei-Ta Chu, Fu-En Yang, Yu-Chiang Frank Wang 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.

Ax Ounnaci Iddir, Ahmed-ouamer Rachid, Tai Dinh 3/24/2026

Ontology-driven personalized information retrieval for XML documents

Personalized XML document retrieval integrating domain ontologies and user profiles with semantic resources.

Ax MD Ruiz-Medina, AE Madrid, A Torres-Signes, JM Angulo 3/24/2026

Time-adaptive functional Gaussian Process regression

Functional Gaussian Process regression using Empirical Bayes for spatiotemporal random fields on manifolds.

Ax Peihan Ye, Alfreds Lapkovskis, Alaa Saleh, Qiyang Zhang, Praveen Kumar Donta 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.

Ax Leonid Ugadiarov, Yuri Kuratov, Aleksandr Panov, Alexey Skrynnik 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.

Ax Ebasa Temesgen, Nathnael Minyelshowa, Lebsework Negash 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.

Ax Haolun Zheng, Yu He, Tailun Chen, Shuo Shao, Zhixuan Chu, Hongbin Zhou, Lan Tao, Zhan Qin, Kui Ren 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.

Ax Sing-Yuan Yeh, Yi-An Wu, Hau-Tieng Wu, Mao-Pei Tsui 3/24/2026

Accelerate Vector Diffusion Maps by Landmarks

Landmark-constrained algorithm to accelerate Vector Diffusion Maps framework for manifold learning on complex datasets.

Ax Zachary F. Mainen 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.

Ax Brianna Binder, Assad Oberai 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.

Ax Aakash Ravindra Shinde, Arianne Meijer - van de Griend, Jukka K. Nurminen 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.

Ax Khushiyant, Param Thakkar 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.

Ax Hongyang Yang, Boyu Zhang, Yang She, Xinyu Liao, Xiaoli Zhang 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.

Ax Saketh Vinjamuri, Marielle Fis Loperena, Marie C. Spezia, Ramez Kouzy 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.

Ax Oussama Zekri, Th\'eo Uscidda, Nicolas Boull\'e, Anna Korba 3/24/2026

Generalized Discrete Diffusion from Snapshots

Generalized Discrete Diffusion from Snapshots framework supporting arbitrary noising processes over discrete state spaces.

Ax Mohamed A Mabrok 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.

Ax Jinghan Cao, Yu Ma, Xinjin Li, Qingyang Ren, Xiangyun Chen 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.

Ax Gregory M. Ruddell 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.

Ax Mariela M. Nina, Caio Veloso Costa, Lilian Berton, Didier A. Vega-Oliveros 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.

Ax Siqi Guo, Ming Lin, Tianbao Yang 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.