Ax Yushi Guan, Jeanine Ohene-Agyei, Daniel Kwan, Jean Sebastien Dandurand, Yifei Zhang, Nandita Vijaykumar 3/26/2026

TuneShift-KD: Knowledge Distillation and Transfer for Fine-tuned Models

TuneShift-KD enables knowledge distillation and transfer of fine-tuned specialized knowledge to newer LLM architectures without access to original training data.

Ax Emily Schiller, Teodor Chiaburu, Marco Zullich, Luca Longo 3/26/2026

No Single Metric Tells the Whole Story: A Multi-Dimensional Evaluation Framework for Uncertainty Attributions

Multi-dimensional evaluation framework for uncertainty attribution methods in explainable AI addressing inconsistent evaluation across heterogeneous proxy tasks.

Ax Zichuan Lin, Feiyu Liu, Yijun Yang, Jiafei Lyu, Yiming Gao, Yicheng Liu, Zhicong Lu, Yangbin Yu, Mingyu Yang, Junyou Li, Deheng Ye, Jie Jiang 3/26/2026

UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience

UI-Voyager is a self-evolving mobile GUI agent using rejection fine-tuning and credit assignment to learn from failed trajectories in long-horizon tasks.

Ax Haresh Rengaraj Rajamohan, Xiang Gao, Weicheng Zhu, Shih-Lun Huang, Long Chen, Gabe Schulman, Huizhen Jin, Shengduo Li, Yixuan Wang, Huidi Yang, Kyunghyun Cho, Cem M. Deniz, Narges Razavian 3/26/2026

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction

RAVEN applies generative pretraining to structured electronic health records using recurrence-aware next-visit event prediction on 1M+ patient dataset.

Ax Pengxuan Yang, Yupeng Zheng, Deheng Qian, Zebin Xing, Qichao Zhang, Linbo Wang, Yichen Zhang, Shaoyu Guo, Zhongpu Xia, Qiang Chen, Junyu Han, Lingyun Xu, Yifeng Pan, Dongbin Zhao 3/26/2026

DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving

DreamerAD enables efficient RL for autonomous driving via latent world model achieving 80x speedup by compressing diffusion sampling from 100 to 1 step.

Ax Arthur Jacot 3/26/2026

Polynomial Speedup in Diffusion Models with the Multilevel Euler-Maruyama Method

Multilevel Euler-Maruyama method accelerates diffusion model solving via multi-level approximators with polynomial speedup in HTMC regime.

Ax Zhi Sun, Wenming Zhang, Yi Wei, Liren Yu, Zhixuan Zhang, Dan Ou, Haihong Tang 3/26/2026

KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at Taobao

KARMA applies LLMs to personalized search at Taobao by addressing knowledge-action gap through regularized multimodal alignment for next-item prediction.

Ax Fangyu Ding, Ding Ding, Sijin Chen, Kaibo Wang, Peng Xu, Zijin Feng, Haoli Bai, Kai Han, Youliang Yan, Binhang Yuan, Jiacheng Sun 3/26/2026

Beyond Masks: Efficient, Flexible Diffusion Language Models via Deletion-Insertion Processes

Deletion-Insertion Diffusion language models replace masking paradigm with discrete diffusion processes for improved computational efficiency and generation flexibility.

Ax Alexander Sheppert 3/26/2026

DepthCharge: A Domain-Agnostic Framework for Measuring Depth-Dependent Knowledge in Large Language Models

DepthCharge framework measures knowledge depth in LLMs through adaptive probing across domains, addressing inability to sustain accurate responses in domain-specific details.

Ax Avni Mittal 3/26/2026

Did You Forget What I Asked? Prospective Memory Failures in Large Language Models

Study of prospective memory failures in LLMs when formatting constraints conflict with complex tasks.

Ax Bhavik Mangla 3/26/2026

MDKeyChunker: Single-Call LLM Enrichment with Rolling Keys and Key-Based Restructuring for High-Accuracy RAG

MDKeyChunker: Structure-aware document chunking and single-call LLM enrichment for improved RAG pipelines.

Ax Abass Oguntade 3/26/2026

Not All Pretraining are Created Equal: Threshold Tuning and Class Weighting for Imbalanced Polarization Tasks in Low-Resource Settings

Transformer-based approach for polarization detection in social media using threshold tuning and class weighting.

Ax Burc Gokden 3/26/2026

PLDR-LLMs Reason At Self-Organized Criticality

Analysis of LLM reasoning behavior at self-organized criticality using phase transition characteristics.

Ax Ran Greidi, Kobi Cohen 3/26/2026

DeepOFW: Deep Learning-Driven OFDM-Flexible Waveform Modulation for Peak-to-Average Power Ratio Reduction

Deep learning framework for OFDM waveform modulation to reduce peak-to-average power ratio.

Ax Yuan-Hao Wei, Yan-Jie Sun 3/26/2026

PDGMM-VAE: A Variational Autoencoder with Adaptive Per-Dimension Gaussian Mixture Model Priors for Nonlinear ICA

Variational autoencoder with per-dimension Gaussian mixture priors for nonlinear independent component analysis.

Ax Benchong Li 3/26/2026

Labeled Compression Schemes for Concept Classes of Finite Functions

Theoretical resolution of sample compression conjecture for finite function concept classes.

Ax Hyunwoo Kim, Munyoung Lee, Seung Hyub Jeon, Kyu Sung Lee 3/26/2026

Wafer-Level Etch Spatial Profiling for Process Monitoring from Time-Series with Time-LLM

Time-LLM applied to wafer-level spatial profiling for plasma etching process monitoring.

Ax Josef Hanke (Yusuf Hamied Department of Chemistry, University of Cambridge, UK), Sebastian Pujalte Ojeda (Yusuf Hamied Department of Chemistry, University of Cambridge, UK), Shengyu Zhang (Yusuf Hamied Department of Chemistry, University of Cambridge, UK), Werngard Czechtizky (Medicinal Chemistry, Research and Early Development, Respiratory and Immunology, BioPharmaceuticals R and D, AstraZeneca, Sweden), Leonardo De Maria (Medicinal Chemistry, Research and Early Development, Respiratory and Immunology, BioPharmaceuticals R and D, AstraZeneca, Sweden), Michele Vendruscolo (Yusuf Hamied Department of Chemistry, University of Cambridge, UK) 3/26/2026

ZeroFold: Protein-RNA Binding Affinity Predictions from Pre-Structural Embeddings

ZeroFold: Pre-trained embedding method for protein-RNA binding affinity prediction accounting for RNA structural flexibility.

Ax Steven Cho, Stefano Ruberto, Valerio Terragni 3/26/2026

LLMORPH: Automated Metamorphic Testing of Large Language Models

LLMORPH: Automated metamorphic testing tool for LLMs using metamorphic relations to verify correctness without labeled test data.

Ax Pranay Tummalapalli, Sahil Arayakandy, Ritam Pal, Kautuk Kundan 3/26/2026

LLM Inference at the Edge: Mobile, NPU, and GPU Performance Efficiency Trade-offs Under Sustained Load

Benchmark of Qwen 2.5 1.5B quantized LLM inference across mobile, NPU, and GPU platforms measuring throughput and efficiency trade-offs.

Ax Federico Carrara, Talley Lambert, Mehdi Seifi, Florian Jug 3/26/2026

{\lambda}Split: Self-Supervised Content-Aware Spectral Unmixing for Fluorescence Microscopy

Self-supervised spectral unmixing method for fluorescence microscopy using data-driven approach to recover fluorophore concentrations.

Ax Mohammad Saleh Vahdatpour, Yanqing Zhang 3/26/2026

Energy Efficient Software Hardware CoDesign for Machine Learning: From TinyML to Large Language Models

Comprehensive review of energy-efficient software-hardware codesign for ML from TinyML to LLMs, addressing memory and data movement bottlenecks.

Ax Jannik Endres, Etienne Lalibert\'e, David Rolnick, Arthur Ouaknine 3/26/2026

Estimating Individual Tree Height and Species from UAV Imagery

BIRCH-Trees benchmark for individual tree height and species estimation from UAV RGB imagery for forest biomass assessment.

Ax Armin Catovic 3/26/2026

The Economics of Builder Saturation in Digital Markets

Economic analysis of builder saturation effect in digital markets with near-zero marginal costs and free entry.

Ax Igor Jankowski 3/26/2026

Dual-Gated Epistemic Time-Dilation: Autonomous Compute Modulation in Asynchronous MARL

Dual-gated approach for autonomous compute modulation in asynchronous multi-agent reinforcement learning on edge devices.

Ax Jakob Kienegger, Timo Gerkmann 3/26/2026

Autoregressive Guidance of Deep Spatially Selective Filters using Bayesian Tracking for Efficient Extraction of Moving Speakers

Deep spatially selective filters with Bayesian tracking for real-time speech enhancement in dynamic speaker scenarios.

Ax Tristan Luca Saidi, Gonzalo Mena, Larry Wasserman, Florian Gunsilius 3/26/2026

Wasserstein Parallel Transport for Predicting the Dynamics of Statistical Systems

Wasserstein geometry method for predicting dynamics of probability distributions over time in causal inference.

Ax Ali Akram 3/26/2026

Retinal Disease Classification from Fundus Images using CNN Transfer Learning

CNN transfer learning pipeline for retinal disease classification from fundus photographs with baseline comparisons.

Ax Philipp Wesp, Robbie Holland, Vasiliki Sideri-Lampretsa, Sergios Gatidis 3/26/2026

Sparse Autoencoders for Interpretable Medical Image Representation Learning

Using sparse autoencoders to replace opaque vision foundation model representations with human-interpretable features for medical imaging.

Ax Abhishek Paudel, Abhish Khanal, Raihan I. Arnob, Shahriar Hossain, Gregory J. Stein 3/26/2026

Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection

LLM-informed planning framework for object search in partially-known environments using LLM probability estimates and prompt selection.

Ax Joshua Rozner, Cory Shain 3/26/2026

Perturbation: A simple and efficient adversarial tracer for representation learning in language models

Perturbation-based method to trace and analyze linguistic representations in deep language models without imposing linearity constraints.

Ax Ao Ding, Hongzong Li, Zi Liang, Zhanpeng Shi, Shuxin Zhuang, Shiqin Tang, Rong Feng, Ping Lu 3/26/2026

How Vulnerable Are Edge LLMs?

Security analysis of quantized edge-deployed LLMs showing knowledge extraction attacks remain effective despite quantization noise.

Ax Sattwik Ghosal, Xuran Meng, Yi Li 3/26/2026

Beyond Consistency: Inference for the Relative risk functional in Deep Nonparametric Cox Models

Theoretical analysis of deep neural network estimators for Cox proportional hazards models with asymptotic distribution theory.

Ax Forest Agostinelli 3/26/2026

The DeepXube Software Package for Solving Pathfinding Problems with Learned Heuristic Functions and Search

DeepXube: Open-source Python package combining deep reinforcement learning and heuristic search to automate pathfinding problem solving.

Ax Rohan Kumar, Jason Li, Zongshun Zhang, Syed Mohammad Qasim, Gianluca Stringhini, Ayse Kivilcim Coskun 3/26/2026

Praxium: Diagnosing Cloud Anomalies with AI-based Telemetry and Dependency Analysis

Praxium: AI-based system for diagnosing microservice anomalies in cloud applications using telemetry and dependency analysis.

Ax Guoliang Zhao, Ruobing Xie, An Wang, Shuaipeng Li, Huaibing Xie, Xingwu Sun 3/26/2026

Self-Distillation for Multi-Token Prediction

MTP-D: Self-distillation method to improve multi-token prediction in LLMs, addressing acceptance rates and joint training challenges for faster inference.

Ax Fatih Ilhan, Gaowen Liu, Ramana Rao Kompella, Selim Furkan Tekin, Tiansheng Huang, Zachary Yahn, Yichang Xu, Ling Liu 3/26/2026

Attention-aware Inference Optimizations for Large Vision-Language Models with Memory-efficient Decoding

AttentionPack optimizes vision-language model inference with memory-efficient decoding for long sequences.

Ax Seong-Eun Hong, JuYeong Hwang, RyunHa Lee, HyeongYeop Kang 3/26/2026

ORACLE: Orchestrate NPC Daily Activities using Contrastive Learning with Transformer-CVAE

ORACLE orchestrates NPC daily activities in digital environments using contrastive learning with Transformer-CVAE.

Ax Zongliang Ji, Ziyang Zhang, Xincheng Tan, Matthew Thompson, Anna Goldenberg, Carl Yang, Rahul G. Krishnan, Fan Zhang 3/26/2026

Dialogue to Question Generation for Evidence-based Medical Guideline Agent Development

LLM-based ambient assistant for evidence-based medical guidelines that surfaces targeted questions during physician consultations.

Ax Tri Minh Nguyen, Sherif Abdulkader Tawfik, Truyen Tran, Svetha Venkatesh 3/26/2026

ChargeFlow: Flow-Matching Refinement of Charge-Conditioned Electron Densities

ChargeFlow uses flow-matching to refine charge-conditioned electron densities for computational chemistry applications.

Ax Lingjiao Chen, Chi Zhang, Yeye He, Ion Stoica, Matei Zaharia, James Zou 3/26/2026

The Price Reversal Phenomenon: When Cheaper Reasoning Models End Up Costing More

Systematic study reveals pricing reversal phenomenon where cheaper reasoning LLMs often cost more in practice across diverse tasks.

Ax Shi-Yuan Ma, J\'er\'emie Laydevant, Mandar M. Sohoni, Logan G. Wright, Tianyu Wang, Peter L. McMahon 3/26/2026

Machine vision with small numbers of detected photons per inference

End-to-end optimized machine vision system for low-light scenarios with minimal detected photons per inference.

Ax Zekun Qian, Wei Feng, Ruize Han, Junhui Hou 3/26/2026

COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergistic Paradigm

COVTrack++ enables multi-object tracking for open-vocabulary categories including unseen objects using continuous video data.

Ax Zhiyao Tan, Liu Li, Huazhen Lin 3/26/2026

Minimal Sufficient Representations for Self-interpretable Deep Neural Networks

DeepIn framework for self-interpretable neural networks that identifies minimal representations needed for DNN expressiveness.

Ax Aditya Narendra, Mukhammadrizo Maribjonov, Dmitry Makarov, Dmitry Yudin, Aleksandr Panov 3/26/2026

Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning

KG-M3PO framework combines knowledge graphs, vision, and reinforcement learning for multi-task robotic manipulation with online 3D scene graphs.

Ax Aymen Bouferroum (FUN), Valeria Loscri (FUN), Abderrahim Benslimane (LIA) 3/26/2026

Toward a Multi-Layer ML-Based Security Framework for Industrial IoT

ML-based multi-layer security framework for Industrial IoT addressing resource constraints and threats across network layers.

Ax Shubham Kumar Nigam, Suparnojit Sarkar, Piyush Patel 3/26/2026

MedAidDialog: A Multilingual Multi-Turn Medical Dialogue Dataset for Accessible Healthcare

MedAidDialog multilingual multi-turn medical dialogue dataset for conversational AI in healthcare with improved realism over template-based systems.

Ax Zhanhe Lei, Zhongyuan Wang, Jikang Cheng, Baojin Huang, Yuhong Yang, Zhen Han, Chao Liang, Dengpan Ye 3/26/2026

Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake Detection

TSRL framework uses reinforcement learning to dynamically optimize training curriculum for deepfake detection, modeling training as an MDP.

Ax Rami Luisto 3/26/2026

A visual observation on the geometry of UMAP projections of the difference vectors of antonym and synonym word pair embeddings

Visual study of UMAP projections examining geometric patterns in embedding difference vectors of antonym and synonym word pairs.

Ax Oussama Draissi, Mark G\"unzel, Ahmad-Reza Sadeghi, Lucas Davi 3/26/2026

Walma: Learning to See Memory Corruption in WebAssembly

Walma framework detects memory corruption in WebAssembly using machine learning-based attestation without invasive instrumentation.