Ax Cathy Jiao, Juan Elenter, Praveen Ravichandran, Bernd Huber, Joseph Cauteruccio, Todd Wasson, Timothy Heath, Chenyan Xiong, Mounia Lalmas, Paul Bennett 7d ago

Efficient Dataset Selection for Continual Adaptation of Generative Recommenders

Dataset selection strategies for continual adaptation of generative recommenders under temporal distributional drift.

Ax Romano Li, Jianfei Cao 7d ago

The Condition-Number Principle for Prototype Clustering

Geometric framework linking objective accuracy to structural recovery in prototype-based clustering via condition numbers.

Ax Pei-Xi Xie, Che-Yu Lin, Cheng-Lin Yang 7d ago

Mitigating Distribution Sharpening in Math RLVR via Distribution-Aligned Hint Synthesis and Backward Hint Annealing

Methods to mitigate distribution sharpening in math RLVR through hint synthesis and annealing strategies.

Ax Haiyan Du, Hu Yang 7d ago

Sparse $\epsilon$ insensitive zone bounded asymmetric elastic net support vector machines for pattern classification

Sparse epsilon-insensitive elastic net SVM variant for noise-robust pattern classification with improved sparsity.

Ax Xiangyue Liu, Zijian Zhang, Miles Yang, Zhao Zhong, Liefeng Bo, Ping Tan 7d ago

Symbiotic-MoE: Unlocking the Synergy between Generation and Understanding

Symbiotic-MoE: unified pre-training framework enabling Large Multimodal Models to generate images while maintaining understanding capabilities.

Ax Manoj Chandrashekar Rao 7d ago

Sensitivity-Positional Co-Localization in GQA Transformers

LSLoRA: investigation of sensitivity-positional co-localization in GQA transformers, restricting LoRA to optimally sensitive layers.

Ax Tong Duy Son, Kohta Sugiura, Marc Brughmans, Andrey Hense, Zhihao Liu, Amirthalakshmi Veeraraghavan, Ajinkya Bhave, Jay Masters, Paolo di Carlo, Theo Geluk 7d ago

Toward Generalizable Graph Learning for 3D Engineering AI: Explainable Workflows for CAE Mode Shape Classification and CFD Field Prediction

Graph learning framework for 3D engineering AI applications including CAE and CFD predictions with explainability.

Ax Chanhyuk Choi, Taesoo Kim, Donggyu Lee, Siyeol Jung, Taehwan Kim 7d ago

Cross-Modal Emotion Transfer for Emotion Editing in Talking Face Video

Cross-modal emotion transfer technique for emotion editing in synthetic talking face videos using generative models.

Ax Xinshun Feng, Xinhao Song, Lijun Li, Gongshen Liu, Jing Shao 7d ago

SEARL: Joint Optimization of Policy and Tool Graph Memory for Self-Evolving Agents

SEARL: framework for self-evolving AI agents that jointly optimize policy and tool graphs to learn from trajectories without large-scale LLMs.

Ax Ivan Lau, Jonathan Scarlett 7d ago

Order-Optimal Sequential 1-Bit Mean Estimation in General Tail Regimes

Theoretical research on mean estimation under 1-bit communication constraints using adaptive randomized thresholds.

Ax Kaiyuan Tian, Yu Tang, Gongqingjian Jiang, Baihui Liu, Yifu Gao, Xialin Su, Linbo Qiao, Dongsheng Li 7d ago

GRASS: Gradient-based Adaptive Layer-wise Importance Sampling for Memory-efficient Large Language Model Fine-tuning

GRASS: gradient-based method for memory-efficient LLM fine-tuning using adaptive layer-wise importance sampling, balancing efficiency with model expressiveness.

Ax Giulio Valentino Dalla Riva, Matteo Dalla Riva 7d ago

Intensity Dot Product Graphs

Intensity Dot Product Graphs extending random dot product graphs with Poisson point process for latent positions.

Ax Praveen Kumar Menaka Sekar, Ion Matei, Maksym Zhenirovskyy, Hon Yung Wong, Sayuri Kohmura, Shinji Hotta, Akihiro Inomata 7d ago

Automatic Generation of Executable BPMN Models from Medical Guidelines

Pipeline converting healthcare policy documents to executable BPMN models using LLMs for policy simulation and evaluation.

Ax Harsh Kohli, Srinivasan Parthasarathy, Huan Sun, Yuekun Yao 7d ago

Loop, Think, & Generalize: Implicit Reasoning in Recurrent-Depth Transformers

Recurrent-depth transformers enabling iterative reasoning to improve multi-hop knowledge composition in language models.

Ax Jannik Nitschke, Lukas Wegmeth, Joeran Beel 7d ago

Ensembles at Any Cost? Accuracy-Energy Trade-offs in Recommender Systems

Study of accuracy-energy trade-offs in ensemble recommender systems across 93 experiments comparing multiple models to single models.

Ax Kun Gao, Davide Sold\`a, Thomas Eiter, Katsumi Inoue 7d ago

Visual Perceptual to Conceptual First-Order Rule Learning Networks

Learns first-order rules from image data without labels, automatically inventing predicates for explainable AI and enhancing LLM reasoning.

Ax Nickson Patel 7d ago

Dynamic Attentional Context Scoping: Agent-Triggered Focus Sessions for Isolated Per-Agent Steering in Multi-Agent LLM Orchestration

DACS mechanism for multi-agent LLM orchestration isolating per-agent context via registry and focus session modes to prevent context pollution.

Ax Tao Hana, Zhibin Wen, Zhenghao Chen, Fenghua Lin, Junyu Gao, Song Guo, Lei Bai 7d ago

Generative 3D Gaussian Splatting for Arbitrary-ResolutionAtmospheric Downscaling and Forecasting

GSSA-ViT framework using 3D Gaussian splatting for arbitrary-resolution weather forecasting and downscaling of atmospheric fields.

Ax Shiwan Zhao, Zhihu Wang, Xuyang Zhao, Jiaming Zhou, Caiyue Xu, Chenfei Liu, Liting Zhang, Yuhang Jia, Yanzhe Zhang, Hualong Yu, Zichen Xu, Qicheng Li, Yong Qin 7d ago

Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning

Unified framework viewing LLM post-training methods (SFT, preference optimization, RL, distillation) through off-policy and on-policy learning perspectives.

Ax Ryo Suzuki, Shohei Watabe 7d ago

Investigation of Automated Design of Quantum Circuits for Imaginary Time Evolution Methods Using Deep Reinforcement Learning

Uses deep reinforcement learning to automatically design quantum circuits for variational imaginary time evolution on NISQ devices.

Ax Yuanjian Xu, Tianze Sun, Changwei Xu, XinLong Zhao, Jianing Hao, Ran Chen, Yang Liu, Ruijie Xu, Stephen Chen, Guang Zhang 7d ago

Rethinking Data Mixing from the Perspective of Large Language Models

Studies data mixing strategies for LLM training, questioning domain definitions, human-model alignment, and impact of domain weighting on generalization.

Ax Alin-Gabriel V\u{a}duva, Simona-Vasilica Oprea, Adela B\^ara 7d ago

Are we still able to recognize pearls? Machine-driven peer review and the risk to creativity: An explainable RAG-XAI detection framework with markers extraction

Discusses risks of LLM-generated peer reviews and automated editorial processes, proposing RAG-XAI detection framework for identifying machine-generated content.

Ax Gyanendra Das, Sai Satyam Jena 7d ago

DSCA: Dynamic Subspace Concept Alignment for Lifelong VLM Editing

DSCA method for lifelong vision-language model editing via dynamic subspace concept alignment, preventing degradation from sequential edits.

Ax Yanling Xiao, Huaibing Xie, Guoliang Zhao, Shihan Dou, Shaolei Wang, Yiting Liu, Nantao Zheng, Cheng Zhang, Pluto Zhou, Zhisong Zhang, Lemao Liu 7d ago

A Decomposition Perspective to Long-context Reasoning for LLMs

Decomposes long-context reasoning in LLMs into atomic skills, automatically identifying and improving fundamental capabilities for complex reasoning.

Ax Felix Embacher, Jonas Uhrig, Marius Cordts, Markus Enzweiler 7d ago

SearchAD: Large-Scale Rare Image Retrieval Dataset for Autonomous Driving

SearchAD large-scale dataset with 423k frames for rare image retrieval in autonomous driving scenarios across 11 established datasets.

Ax Minh Sao Khue Luu, Evgeniy N. Pavlovskiy, Bair N. Tuchinov 7d ago

Component-Adaptive and Lesion-Level Supervision for Improved Small Structure Segmentation in Brain MRI

CATMIL method for small brain structure segmentation in MRI using component-adaptive reweighting and lesion-level supervision.

Ax Moein Salimi, Shaygan Adim, Danial Parnian, Nima Alighardashi, Mahdi Jafari Siavoshani, Mohammad Hossein Rohban 7d ago

Wiring the 'Why': A Unified Taxonomy and Survey of Abductive Reasoning in LLMs

First comprehensive survey of abductive reasoning in LLMs, defining taxonomy and exploring inference of plausible explanations from observations.

Ax Soumya Mazumdar, Vineet Kumar Rakesh, Tapas Samanta 7d ago

PrivFedTalk: Privacy-Aware Federated Diffusion with Identity-Stable Adapters for Personalized Talking-Head Generation

PrivFedTalk privacy-aware federated framework for personalized talking-head generation using diffusion models with identity-stable adapters.

Ax Vladimir Zaigrajew, Micha{\l} Piechota, Gaspar Sekula, Przemys{\l}aw Biecek 7d ago

LINE: LLM-based Iterative Neuron Explanations for Vision Models

LINE uses LLMs iteratively to explain individual neuron concepts in vision models without predefined vocabularies, enabling interpretability of neural networks.

Ax Gabriel Dubus, Th\'eau d'Audiffret, Claire Auger, Rapha\"el Cornette, Sylvain Haupert, Innocent Kasekendi, Raymond Katumba, Hugo Magaldi, Lise Pernel, Harold Rugonge, J\'er\^ome Sueur, John Justice Tibesigwa, Sabrina Krief 7d ago

DeepForestSound: a multi-species automatic detector for passive acoustic monitoring in African tropical forests, a case study in Kibale National Park

DeepForestSound multi-species acoustic detector for biodiversity monitoring in African tropical forests using semi-supervised learning pipeline.

Ax Seungjae Moon, Seunghyun Oh, Youngmin Ro 7d ago

OV-Stitcher: A Global Context-Aware Framework for Training-Free Open-Vocabulary Semantic Segmentation

Training-free open-vocabulary semantic segmentation using global context awareness with pretrained vision and vision-language models without additional training.

Ax Labani Halder, Payel Sadhukhan, Sarbani Palit 7d ago

TADP-RME: A Trust-Adaptive Differential Privacy Framework for Enhancing Reliability of Data-Driven Systems

Trust-adaptive differential privacy framework for data-driven systems balancing privacy and utility under heterogeneous user trust levels.

Ax Ian W. Kennedy, Nafise Sadat Moosavi 7d ago

Initialisation Determines the Basin: Efficient Codebook Optimisation for Extreme LLM Quantization

Method for 2-bit LLM quantization via optimal codebook initialization, enabling extreme compression for edge deployment with O(1) lookup dequantization.

Ax Junjie Fei, Jun Chen, Zechun Liu, Yunyang Xiong, Chong Zhou, Wei Wen, Junlin Han, Mingchen Zhuge, Saksham Suri, Qi Qian, Shuming Liu, Lemeng Wu, Raghuraman Krishnamoorthi, Vikas Chandra, Mohamed Elhoseiny, Chenchen Zhu 7d ago

Small Vision-Language Models are Smart Compressors for Long Video Understanding

Tempo framework compresses long videos for multimodal LLMs by query-aware selection of frames, addressing context limits and lost-in-middle problems.

Ax Nishikanta Mohanty, Bikash K. Behera, Badshah Mukherjee, Pravat Dash 7d ago

QARIMA: A Quantum Approach To Classical Time Series Analysis

Quantum-inspired ARIMA methodology for time series analysis using variational quantum circuits and swap-test-driven autocorrelation.

Ax Aasim Bin Saleem, Amr Ahmed, Ardhendu Behera, Hafeezullah Amin, Iman Yi Liao, Mahmoud Khattab, Pan Jia Wern, Haslina Makmur 7d ago

HistDiT: A Structure-Aware Latent Conditional Diffusion Model for High-Fidelity Virtual Staining in Histopathology

Diffusion model for virtual staining in histopathology that preserves cellular structures while translating immunohistochemistry images.

Ax Xun Zhu, Fanbin Mo, Xi Chen, Kaili Zheng, Shaoshuai Yang, Yiming Shi, Jian Gao, Miao Li, Ji Wu 7d ago

Lost in the Hype: Revealing and Dissecting the Performance Degradation of Medical Multimodal Large Language Models in Image Classification

Study showing medical multimodal LLMs underperform traditional deep learning on image classification despite pretraining advantages.

Ax Andi Gu, J. Pablo Bonilla Ataides, Mikhail D. Lukin, Susanne F. Yelin 7d ago

Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation

Convolutional neural decoders for quantum error correction to accelerate decoding of quantum low-density parity-check codes.

Ax Piotr Nieciecki, Aleksander Plocharski, Przemyslaw Musialski 7d ago

What a Comfortable World: Ergonomic Principles Guided Apartment Layout Generation

Transformer-based floor plan generation using differentiable architectural loss functions to optimize room layouts beyond training data patterns.

Ax Tristan Thrush, Sung Min Park, Herman Brunborg, Luke Bailey, Marcel Roed, Neil Band, Christopher Potts, Tatsunori Hashimoto 7d ago

Synthetic Data for any Differentiable Target

RL primitive (Dataset Policy Gradient) optimizing synthetic data generators to produce targeted training examples for fine-tuning LLMs on differentiable metrics.

Ax Lorenzo Capelli, Leandro de Souza Rosa, Maurizio De Tommasi, Livia Manovi, Andriy Enttsel, Mauro Mangia, Riccardo Rovatti, Ilaria Pinci, Carlo Ciancarelli, Eleonora Mariotti, Gianluca Furano 7d ago

On-board Telemetry Monitoring in Autonomous Satellites: Challenges and Opportunities

Explainable AI framework for onboard satellite fault detection with semantically annotated encodings for neural anomaly detectors.

Ax Ashima Suvarna, Kendrick Phan, Mehrab Beikzadeh, Hritik Bansal, Saadia Gabriel 7d ago

SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions

RL framework extending verifiable-reward training to general reasoning tasks in LLMs using natural instruction data for causal and temporal understanding.

Ax Runpeng Geng, Chenlong Yin, Yanting Wang, Ying Chen, Jinyuan Jia 7d ago

PIArena: A Platform for Prompt Injection Evaluation

Unified evaluation platform for prompt injection attacks and defenses, addressing benchmark gaps in comparing robustness across diverse tasks.

Ax Anay Mehrotra, Grigoris Velegkas, Xifan Yu, Felix Zhou 7d ago

Differentially Private Language Generation and Identification in the Limit

Study of language generation under differential privacy constraints, proving privacy can be achieved without qualitative cost for countable language collections.

Ax Feng Luo, Yu-Neng Chuang, Guanchu Wang, Zicheng Xu, Xiaotian Han, Tianyi Zhang, Vladimir Braverman 7d ago

Demystifying OPD: Length Inflation and Stabilization Strategies for Large Language Models

Analysis of on-policy distillation failure modes in LLM training, identifying length inflation and truncation collapse as destabilizing factors.

Ax Insaf Ashrapov 7d ago

Tabular GANs for uneven distribution

Survey of tabular data generation comparing GANs, diffusion models, and LLMs across sample quality, privacy, and controllability dimensions.

Ax Young-Jin Park, Cesar Almecija, Apoorva Sharma, Navid Azizan 7d ago

Tractable Uncertainty-Aware Meta-Learning

Meta-learning approach with uncertainty quantification for limited-data task learning, addressing out-of-distribution scenarios in safety-critical settings.

Ax Eduardo C. Garrido-Merch\'an, \'Alvaro L\'opez L\'opez 7d ago

An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures, Protocols, and Applications

Comprehensive survey of generative AI covering large language models, architectures, deployment protocols, and real-world applications as of early 2026.

Ax Minghui Qiu, Jun Chen, Lin Chen, Shuxin Zhong, Yandao Huang, Lu Wang, Kaishun Wu 7d ago

CODA: A Continuous Online Evolve Framework for Deploying HAR Sensing Systems

Continuous online learning framework for activity recognition systems addressing model drift and domain shift in long-term deployments.

Ax Behrooz Razeghi, Parsa Rahimi, S\'ebastien Marcel 7d ago

Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with an Application to Face Recognition

Privacy-preserving face recognition using information-theoretic Privacy Funnel model with end-to-end trainable representation learning.