Isolater - Feed

Ax Asiri Wijesinghe, Sevvandi Kandanaarachchi, Daniel M. Steinberg, Cheng Soon Ong 3/2/2026

Flowette: Flow Matching with Graphette Priors for Graph Generation

Flowette: flow matching generative model for graphs with recurring motifs using graph neural network transformers.

Ax Ruxiao Duan, Alex Wong 3/2/2026

Evidential Neural Radiance Fields

Evidential neural radiance fields framework for uncertainty estimation in 3D scene reconstruction and novel view synthesis.

Ax Jeongbin Hong, Dooseop Choi, Taeg-Hyun An, Kyounghwan An, Kyoung-Wook Min 3/2/2026

CycleBEV: Regularizing View Transformation Networks via View Cycle Consistency for Bird's-Eye-View Semantic Segmentation

CycleBEV: regularization framework using cycle consistency to improve bird's-eye-view semantic segmentation for autonomous driving.

Ax Yun Wang, Xuansheng Wu, Jingyuan Huang, Lei Liu, Xiaoming Zhai, Ninghao Liu 3/2/2026

BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation

BRIDGE: data augmentation method mitigating bias amplification in automated scoring systems for English Language Learners.

Ax Xiang Ao 3/2/2026

SDMixer: Sparse Dual-Mixer for Time Series Forecasting

SDMixer: sparse dual-stream framework for multivariate time series forecasting handling multi-scale features and noise.

Ax Abhishek Dalvi, Vasant Honavar 3/2/2026

Hyperdimensional Cross-Modal Alignment of Frozen Language and Image Models for Efficient Image Captioning

Hyperdimensional alignment method for frozen vision-language models enabling efficient image captioning without fine-tuning.

Ax Hiroshi Sasaki 3/2/2026

Pseudo Contrastive Learning for Diagram Comprehension in Multimodal Models

Pseudo contrastive learning method to improve diagram comprehension in multimodal models through fine-grained structural sensitivity.

Ax Zebin Yang, Tong Xie, Baotong Lu, Shaoshan Liu, Bo Yu, Meng Li 3/2/2026

KEEP: A KV-Cache-Centric Memory Management System for Efficient Embodied Planning

KEEP: KV-cache-centric memory management system for efficient embodied planning with memory-augmented LLMs.

Ax Rafid Ishrak Jahan, Fahmid Shahriar Iqbal, Sagnik Ray Choudhury 3/2/2026

LFQA-HP-1M: A Large-Scale Human Preference Dataset for Long-Form Question Answering

LFQA-HP-1M: 1.3M human preference annotations dataset for long-form QA with quality rubrics outperforming LLM evaluators.

Ax Yu Zhu, Kai Yang 3/2/2026

LLM-Driven Multi-Turn Task-Oriented Dialogue Synthesis for Realistic Reasoning

LLM-driven synthesis of multi-turn task-oriented dialogue datasets for evaluating LLM reasoning in realistic scenarios.

Ax Kejing Yin, Haizhou Xu, Wenfang Yao, Chen Liu, Zijie Chen, Yui Haang Cheung, William K. Cheung, Jing Qin 3/2/2026

When Does Multimodal Learning Help in Healthcare? A Benchmark on EHR and Chest X-Ray Fusion

Benchmark study on multimodal learning fusion of EHR and chest X-rays for clinical decision support under missingness and fairness constraints.

Ax Ziang Yin, Qi Jing, Raktim Sarma, Rena Huang, Yu Yao, Jiaqi Gu 3/2/2026

ReDON: Recurrent Diffractive Optical Neural Processor with Reconfigurable Self-Modulated Nonlinearity

ReDON: recurrent diffractive optical neural processor using optical domain computation with nonlinear responses.

Ax Shibo Hong, Boxian Ai, Jun Kuang, Wei Wang, FengJiao Chen, Zhongyuan Peng, Chenhao Huang, Yixin Cao 3/2/2026

DLEBench: Evaluating Small-scale Object Editing Ability for Instruction-based Image Editing Model

DLEBench: evaluation benchmark for instruction-based image editing models focusing on small object editing capabilities.

Ax Zhihao Ding, Jinming Li, Ze Lu, Jieming Shi 3/2/2026

FlexGuard: Continuous Risk Scoring for Strictness-Adaptive LLM Content Moderation

FlexGuard: continuous risk scoring framework for LLM content moderation with adaptive strictness levels across platforms.

Ax Haoran Zhang, Dongjun Kim, Seohyeon Cha, Haris Vikalo 3/2/2026

FedRot-LoRA: Mitigating Rotational Misalignment in Federated LoRA

FedRot-LoRA addresses rotational misalignment in federated fine-tuning of LLMs on decentralized data to reduce aggregation error.

Ax Jielin Qiu, Jianguo Zhang, Zixiang Chen, Liangwei Yang, Ming Zhu, Juntao Tan, Haolin Chen, Wenting Zhao, Rithesh Murthy, Roshan Ram, Akshara Prabhakar, Shelby Heinecke, Caiming, Xiong, Silvio Savarese, Huan Wang 3/2/2026

AudioCapBench: Quick Evaluation on Audio Captioning across Sound, Music, and Speech

AudioCapBench: benchmark for evaluating audio captioning of multimodal LLMs across sound, music, speech with 1,000 samples and LLM-as-Judge evaluation.

Ax Haowen Zhu, Ning Yin, Xiaogen Zhou 3/2/2026

3D Modality-Aware Pre-training for Vision-Language Model in MRI Multi-organ Abnormality Detection

MedMAP pre-training framework for vision-language models on 3D MRI data with modality-specific alignment for multi-organ abnormality detection.

Ax Wei Luo, Yangfan Ou, Jin Deng, Zeshuai Deng, Xiquan Yan, Zhiquan Wen, Mingkui Tan 3/2/2026

ProtoDCS: Towards Robust and Efficient Open-Set Test-Time Adaptation for Vision-Language Models

ProtoDCS framework for test-time adaptation of vision-language models under distribution shift in open-set scenarios.

Ax Zitong Xu, Yuqing Wu, Yue Zhao 3/2/2026

TRIZ-RAGNER: A Retrieval-Augmented Large Language Model for TRIZ-Aware Named Entity Recognition in Patent-Based Contradiction Mining

TRIZ-RAGNER applies retrieval-augmented LLMs for named entity recognition in patent contradiction mining for systematic innovation.

Ax Ziye Jia, Sijie He, Ligang Yuan, Fuhui Zhou, Qihui Wu, Zhu Han, Dusit Niyato 3/2/2026

Blockchain-Enabled Routing for Zero-Trust Low-Altitude Intelligent Networks

Blockchain-based routing protocol for low-altitude intelligent networks (LAINs) with UAVs to improve security and stability.

Ax Emilio Barkett 3/2/2026

The Compulsory Imaginary: AGI and Corporate Authority

Sociological analysis of AGI rhetoric in essays by OpenAI and Anthropic leadership, examining corporate sociotechnical imaginaries.

Ax Seungyeol Baek, Jaspreet Singh, Lala Shakti Swarup Ray, Hymalai Bello, Paul Lukowicz, Sungho Suh 3/2/2026

Interpretable Multimodal Gesture Recognition for Drone and Mobile Robot Teleoperation via Log-Likelihood Ratio Fusion

Multimodal gesture recognition system for hands-free teleoperation of drones and mobile robots using log-likelihood ratio fusion.

Ax Yongzhong Xu 3/2/2026

Optimizer-Induced Low-Dimensional Drift and Transverse Dynamics in Transformer Training

Analysis of transformer training geometry showing parameter updates organize into dominant drift direction with oscillatory transverse dynamics.

Ax Wenzhe Zhao, Yang Zhao, Ganchao Liu, Zhiyu Jiang, Dandan Ma, Zihao Li, Xuelong Li 3/2/2026

SAGE-LLM: Towards Safe and Generalizable LLM Controller with Fuzzy-CBF Verification and Graph-Structured Knowledge Retrieval for UAV Decision

SAGE-LLM architecture combining LLMs with formal safety verification (Fuzzy-CBF) and graph-structured knowledge for safe UAV autonomous decision-making.

Ax Hariz Yet, Nguyen Thanh Tam, Mao V. Ngo, Lim Yi Shen, Lin Wei, Jihong Park, Binbin Chen, Tony Q. S. Quek 3/2/2026

SLA-Aware Distributed LLM Inference Across Device-RAN-Cloud

System design for distributed LLM inference across device, RAN-edge, and cloud tiers with latency constraints for 5G embodied AI applications.

Ax Seungdong Yoa, Sanghyu Yoon, Suhee Yoon, Dongmin Kim, Ye Seul Sim, Junhyun Lee, Woohyung Lim 3/2/2026

From Static Benchmarks to Dynamic Protocol: Agent-Centric Text Anomaly Detection for Evaluating LLM Reasoning

Agent-centric benchmarking paradigm where autonomous agents dynamically generate, validate, and solve problems to evaluate LLM reasoning capabilities.

Ax Hanping Zhang, Yuhong Guo 3/2/2026

Bridging Dynamics Gaps via Diffusion Schr\"odinger Bridge for Cross-Domain Reinforcement Learning

BDGxRL uses Diffusion Schrödinger Bridge to enable cross-domain reinforcement learning policy transfer when target domain interaction is unavailable.

Ax Aleksandr Ananikian (Saint-Petersburg University), Daniil Drozdov (Saint-Petersburg University), Konstantin Yakovlev (Saint-Petersburg University) 3/2/2026

UPath: Universal Planner Across Topological Heterogeneity For Grid-Based Pathfinding

UPath proposes learning-based heuristics for A* pathfinding on grid maps using deep neural networks across heterogeneous topologies.

Ax Tiantong Wang, Xinyu Yan, Tiantong Wu, Yurong Hao, Yong Jiang, Fei Huang, Wei Yang Bryan Lim 3/2/2026

MPU: Towards Secure and Privacy-Preserving Knowledge Unlearning for Large Language Models

MPU framework for privacy-preserving machine unlearning in LLMs without sharing server parameters or client forget sets.

Ax Tadahisa Okuda, Shohei Shimizu, Thong Pham, Tatsuyoshi Ikenoue, Shingo Fukuma 3/2/2026

Operationalizing Longitudinal Causal Discovery Under Real-World Workflow Constraints

Research on applying causal discovery algorithms to real-world longitudinal data with institutional workflow constraints.

Ax Tianci Tang, Tielong Cai, Hongwei Wang, Gaoang Wang 3/2/2026

See, Act, Adapt: Active Perception for Unsupervised Cross-Domain Visual Adaptation via Personalized VLM-Guided Agent

Sea² framework using vision-language models and autonomous agents for unsupervised cross-domain visual adaptation without fine-tuning on target data.

Ax Xiang Li, Nan Jiang, Yuheng Zhang 3/2/2026

Beyond State-Wise Mirror Descent: Offline Policy Optimization with Parameteric Policies

Theoretical research on offline reinforcement learning with general function approximation and parametric policies, extending beyond finite action spaces.

Ax George Papadopoulos, George A. Vouros 3/2/2026

Learning to maintain safety through expert demonstrations in settings with unknown constraints: A Q-learning perspective

Q-learning approach for learning safe policies from expert demonstrations with unknown constraints and non-observable costs.

Ax Junkang Liu, Fanhua Shang, Yuxuan Tian, Hongying Liu, Yuanyuan Liu 3/2/2026

FedNSAM:Consistency of Local and Global Flatness for Federated Learning

Federated learning optimization achieving consistency between local and global model flatness under data heterogeneity.

Ax Xuhui Dou, Hayretdin Bahsi, Alejandro Guerra-Manzanares 3/2/2026

Enhancing Continual Learning for Software Vulnerability Prediction: Addressing Catastrophic Forgetting via Hybrid-Confidence-Aware Selective Replay for Temporal LLM Fine-Tuning

Continual fine-tuning method for LLM-based vulnerability detection addressing catastrophic forgetting under temporal distribution shift.

Ax Wei Lian, Alejandro Guerra-Manzanares 3/2/2026