Isolater - Feed

Ax Yunbum Kook, Santosh S. Vempala 4/3/2026

Zeroth-order Logconcave Sampling

Theoretical study of zeroth-order query complexity for sampling from logconcave distributions using only function evaluations, no gradient information required.

Ax Dean Brandner, Sebastien Gros, Sergio Lucia 4/3/2026

Computationally efficient Gauss-Newton reinforcement learning for model predictive control

Gauss-Newton reinforcement learning method for model predictive control offering second-order convergence with faster training than first-order RL methods.

Ax Ruiyu Zhang, Lin Nie, Xin Zhao 4/3/2026

HEAS: Hierarchical Evolutionary Agent-Based Simulation Framework for Multi-Objective Policy Search

HEAS framework for agent-based simulation combining hierarchical evolution with metric standardization to improve multi-objective policy search in complex systems.

Ax Aida Kostikova, Ole P\"utz, Steffen Eger, Olga Sabelfeld, Benjamin Paassen 4/3/2026

LLM Analysis of 150+ years of German Parliamentary Debates on Migration Reveals Shift from Post-War Solidarity to Anti-Solidarity in the Last Decade

Uses LLMs to analyze 150+ years of German parliamentary debates on migration, demonstrating constraint-free large-scale political text analysis without manual annotation.

Ax Anjiang Wei, Tianran Sun, Tarun Suresh, Haoze Wu, Ke Wang, Alex Aiken 4/3/2026

Quokka: Accelerating Program Verification with LLMs via Invariant Synthesis

LLM-based framework for loop invariant synthesis to accelerate program verification with sound evaluation methodology.

Ax Daofu Zhang, Mehrdad Pournaderi, Hanne M. Clifford, Yu Xiang, Pramod K. Varshney 4/3/2026

On the Adversarial Robustness of Learning-based Conformal Novelty Detection

Study of adversarial robustness in conformal novelty detection using learning-based frameworks with FDR guarantees.

Ax Hao Yan, Heyan Zhang, Yongyi Guo 4/3/2026

Learning with Incomplete Context: Linear Contextual Bandits with Pretrained Imputation

Framework for linear contextual bandits leveraging pretrained models for feature imputation in partially observed contexts.

Ax Murad Dawood, Usama Ahmed Siddiquie, Shahram Khorshidi, Maren Bennewitz 4/3/2026

Constraint-Aware Reinforcement Learning via Adaptive Action Scaling

Safe reinforcement learning approach using adaptive action scaling to reduce constraint violations during training.

Ax Hongyu Zhu, Lin Chen, Xin Jin, Mingsheng Shang 4/3/2026

MS-Mix: Sentiment-Guided Adaptive Augmentation for Multimodal Sentiment Analysis

Sentiment-guided augmentation technique for multimodal sentiment analysis addressing data scarcity in video, audio, and text.

Ax Dan Jacobellis, Mateen Ulhaq, Fabien Racap\'e, Hyomin Choi, Neeraja J. Yadwadkar 4/3/2026

DeDelayed: Deleting Remote Inference Delay via On-Device Correction

System for reducing remote video inference latency through on-device correction with lightweight models for robotics and edge devices.

Ax Elias Hossain, Mehrdad Shoeibi, Ivan Garibay, Niloofar Yousefi 4/3/2026

BIOGEN: Evidence-Grounded Multi-Agent Reasoning Framework for Transcriptomic Interpretation in Antimicrobial Resistance

Multi-agent framework using LLMs for interpreting gene clusters from RNA-seq data in antimicrobial resistance research.

Ax Dachuan Zhao, Weiyue Li, Zhenda Shen, Yushu Qiu, Bowen Xu, Haoyu Chen, Yongchao Chen 4/3/2026

Bias Is a Subspace, Not a Coordinate: A Geometric Rethinking of Post-hoc Debiasing in Vision-Language Models

Geometric approach to post-hoc debiasing in vision-language models by treating bias as subspace rather than individual coordinates.

Ax Sonia Laguna, Andrea Agostini, Alain Ryser, Samuel Ruiperez-Campillo, Irene Cannistraci, Moritz Vandenhirtz, Stephan Mandt, Nicolas Deperrois, Farhad Nooralahzadeh, Michael Krauthammer, Thomas M. Sutter, Julia E. Vogt 4/3/2026

Structure is Supervision: Multiview Masked Autoencoders for Radiology

Self-supervised learning framework using masked autoencoders to learn view-invariant representations from multi-view radiology data.

Ax Yuang Geng, Zhuoyang Zhou, Zhongzheng Zhang, Siyuan Pan, Hoang-Dung Tran, Ivan Ruchkin 4/3/2026

Deterministic World Models for Verification of Closed-loop Vision-based Systems

Deterministic world models for verification of vision-based control systems avoiding stochastic latent variable overapproximation.

Ax Irched Chafaa, Giacomo Bacci, Luca Sanguinetti 4/3/2026

Linear Attention for Joint Power Optimization and User-Centric Clustering in Cell-Free Networks

Lightweight transformer model for joint AP clustering and power allocation in cell-free massive MIMO networks.

Ax Safal Thapaliya, Zehong Wang, Jiazheng Li, Ziming Li, Yanfang Ye, Chuxu Zhang 4/3/2026

Semantic Refinement with LLMs for Graph Representations

Framework using LLMs to refine semantic information in graph representations for improved learning across diverse graph domains.

Ax Ben Xue, Dan Liu, Lixiang Wang, Mingjie Sun, Peng Wang, Pengfei Zhang, Shaoyun Shi, Tianyu Xu, Yunhao Sha, Zhiqiang Liu, Bo Kong, Bo Wang, Hang Yang, Jieting Xue, Junhao Wang, Shengyu Wang, Shuping Hui, Wencai Ye, Xiao Lin, Yongzhi Li, Yuhang Chen, Zhihui Yin, Quan Chen, Shiyang Wen, Wenjin Wu, Han Li, Guorui Zhou, Changcheng Li, Peng Jiang, Kun Gai 4/3/2026

Generative Recommendation for Large-Scale Advertising

GR4AD production-oriented generative recommender system for large-scale advertising with custom architecture and serving.

Ax Jiacheng Wang, Yucheng Sheng, Le Liang, Hao Ye, Shi Jin 4/3/2026

Wireless Power Control Based on Large Language Models

PC-LLM applies pre-trained LLMs as relational reasoning backbone for wireless power control optimization.

Ax Yulin Li, Tengyao Tu, Li Ding, Junjie Wang, Huiling Zhen, Yixin Chen, Yong Li, Zhuotao Tian 4/3/2026

Efficient Reasoning with Balanced Thinking

Balanced thinking method addressing overthinking and underthinking in Large Reasoning Models for efficient deployment.

Ax Amos Goldman (NVIDIA Corporation), Nimrod Boker (NVIDIA Corporation), Maayan Sheraizin (NVIDIA Corporation), Nimrod Admoni (NVIDIA Corporation), Artem Polyakov (NVIDIA Corporation), Subhadeep Bhattacharya (NVIDIA Corporation), Fan Yu (NVIDIA Corporation), Kai Sun (NVIDIA Corporation), Georgios Theodorakis (NVIDIA Corporation), Hsin-Chun Yin (NVIDIA Corporation), Peter-Jan Gootzen (NVIDIA Corporation), Aamir Shafi (NVIDIA Corporation), Assaf Ravid (NVIDIA Corporation), Salvatore Di Girolamo (NVIDIA Corporation), James Dinan (NVIDIA Corporation), Xiaofan Li (NVIDIA Corporation), Manjunath Gorentla Venkata (NVIDIA Corporation), Gil Bloch (NVIDIA Corporation) 4/3/2026

NCCL EP: Towards a Unified Expert Parallel Communication API for NCCL

NCCL EP library for unified Expert Parallelism communication in Mixture-of-Experts LLM training and inference.

Ax Jun Liu, Pu Zhao, Zhenglun Kong, Xuan Shen, Peiyan Dong, Fan Yang, Lin Cui, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Gaowen Liu, Yanzhi Wang, Dong Huang 4/3/2026

When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making

Resource-aware RL framework for embodied robotic agents to optimize when LLM reasoning is invoked during task execution.

Ax Guoan Wang, Shihao Yang, Jun-en Ding, Hao Zhu, Feng Liu 4/3/2026

NeuroNarrator: A Generalist EEG-to-Text Foundation Model for Clinical Interpretation via Spectro-Spatial Grounding and Temporal State-Space Reasoning

NeuroNarrator foundation model for EEG-to-text clinical interpretation using spectro-spatial grounding.

Ax Edoardo Calvello, Elizabeth Carlson, Nikola Kovachki, Michael N. Manta, Andrew M. Stuart 4/3/2026

Operator Learning for Smoothing and Forecasting

Theoretical framework for data-driven smoothing and forecasting algorithms in dynamical systems.

Ax Lisan Al Amin, Md Ismail Hossain, Rupak Kumar Das, Mahbubul Islam, Abdulaziz Tabbakh 4/3/2026

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

Benchmark study comparing deep learning efficiency across models and discussing GPU resource accessibility trends.

Ax Jingzhi Fang, Xiong Gao, Renwei Zhang, Zichun Ye, Lei Chen, Jie Zhao, Chengnuo Huang, Hui Xu, Xuefeng Jin 4/3/2026

DVM: A Bytecode Virtual Machine Approach for Dynamic Tensor Computation

Bytecode virtual machine approach for efficient dynamic tensor computation with flexible shape and control flow handling.

Ax Mingmeng Geng, Yuhang Dong, Thierry Poibeau 4/3/2026

Beyond Via: Analysis and Estimation of the Impact of Large Language Models in Academic Papers

Analysis of linguistic shifts in arXiv papers attributable to LLM usage patterns and limitations in model classification.

Ax Yu Zhang, Karl Mason 4/3/2026

D-SPEAR: Dual-Stream Prioritized Experience Adaptive Replay for Stable Reinforcement Learning in Robotic Manipulation

D-SPEAR algorithm improves reinforcement learning stability in robotic manipulation through prioritized experience replay.

Ax Zhiyuan Peng, Xuyang Wu, Huaixiao Tou, Yi Fang, Yu Gong 4/3/2026

MemRerank: Preference Memory for Personalized Product Reranking

MemRerank framework distills user purchase history into preference signals for personalized product reranking in LLM shopping agents.

Ax Xue Jiang, Tianyu Zhang, Ge Li, Mengyang Liu, Taozhi Chen, Zhenhua Xu, Binhua Li, Wenpin Jiao, Zhi Jin, Yongbin Li, Yihong Dong 4/3/2026

Think Anywhere in Code Generation

Adaptive reasoning approach for LLM code generation that allocates thinking throughout implementation rather than upfront.

Ax Simone Betteti, Luca Laurenti 4/3/2026

Hybrid Energy-Based Models for Physical AI: Provably Stable Identification of Port-Hamiltonian Dynamics

Energy-based models for stable system identification in physical dynamics using Lyapunov functions.

Ax Zhengyang Tang, Ke Ji, Xidong Wang, Zihan Ye, Xinyuan Wang, Yiduo Guo, Ziniu Li, Chenxin Li, Jingyuan Hu, Shunian Chen, Tongxu Luo, Jiaxi Bi, Zeyu Qin, Shaobo Wang, Xin Lai, Pengyuan Lyu, Junyi Li, Can Xu, Chengquan Zhang, Han Hu, Ming Yan, Benyou Wang 4/3/2026