Isolater - Feed

Ax Beibei Wang, Bo Jiang, Ziyan Zhang, Jin Tang 9d ago

Unified Graph Prompt Learning via Low-Rank Graph Message Prompting

Unified graph prompt learning framework using low-rank message prompting for efficiently fine-tuning pre-trained graph neural networks across multiple graph components.

Ax Fan Xu, Zhi-an Huang, Haohuai He, Yidong Song, Wei Liu, Dongxu Zhang, Yao Hu, Kay Chen Tan 9d ago

AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning

Framework for predicting antibody-antigen binding affinity using listwise ranking and positive-unlabeled learning to address label sparsity in therapeutic design.

Ax Anton Pakhunov 9d ago

Mycelium-Index: A Streaming Approximate Nearest Neighbor Index with Myelial Edge Decay, Traffic-Driven Reinforcement, and Adaptive Living Hierarchy

Streaming approximate nearest neighbor index for high-dimensional vectors inspired by mycelium growth patterns, using adaptive topology with edge decay and traffic-driven reinforcement.

Ax Abeer Mostafa, Raneen Younis, Zahra Ahmadi 9d ago

Sheaf Diffusion with Adaptive Local Structure for Spatio-Temporal Forecasting

Spatio-temporal forecasting method using sheaf diffusion to model heterogeneous local interactions in systems, reformulating prediction as information flow over locally structured spaces.

Ax Wenfei Liang, Wee Peng Tay 9d ago

Representation-Aligned Multi-Scale Personalization for Federated Learning

Federated learning approach using personalized submodels aligned with client computational budgets, addressing structural diversity and representational adaptation across heterogeneous devices.

Ax Augustus Haoyang Li 9d ago

THEIA: Learning Complete Kleene Three-Valued Logic in a Pure-Neural Modular Architecture

Modular neural architecture for learning three-valued logic end-to-end across mathematical domains without external symbolic solvers.

Ax Yang Liu, Enxi Wang, Yufei Gao, Weixin Zhang, Bo Wang, Zhiyuan Zeng, Yikai Zhang, Yining Zheng, Xipeng Qiu 9d ago

The Past Is Not Past: Memory-Enhanced Dynamic Reward Shaping

Memory-Enhanced Dynamic reward Shaping (MEDS) framework for reinforcement learning that reduces failure pattern recurrence in LLM training.

Ax Meiyi Zhu, Osvaldo Simeone 9d ago

Beyond Fixed False Discovery Rates: Post-Hoc Conformal Selection with E-Variables

Post-hoc conformal selection method using e-variables for adaptive false discovery rate control in hypothesis testing.

Ax Dario Rancati, Jan Maas, Francesco Locatello 9d ago

Learning Discrete Diffusion of Graphs via Free-Energy Gradient Flows

Theoretical framework for discrete diffusion models on graphs using free-energy gradient flows and Markov chain methods.

Ax Axel Andersson, Gy\"orgy D\'an 9d ago

Active Bayesian Inference for Robust Control under Sensor False Data Injection Attacks

Framework for detecting and recovering from sensor attacks in cyber-physical systems using Bayesian inference and active probing.

Ax Filippo Quarenghi, Ryan Cotsakis, Tom Beucler 9d ago

Emulating Non-Differentiable Metrics via Knowledge-Guided Learning: Introducing the Minkowski Image Loss

Framework for training deep learning models on non-differentiable scientific metrics using knowledge-guided learning and Minkowski Image Loss.

Ax Zhipeng Chen, Tao Qian, Wayne Xin Zhao, Ji-Rong Wen 9d ago

Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration

Research on optimizing reinforcement learning with verifiable rewards for LLMs using low-rank trajectory modeling to reduce computational training overhead.

Ax Jiajun Zhou, Yadong Li, Xuanze Chen, Chen Ma, Chuang Zhao, Shanqing Yu, Qi Xuan 9d ago

Learning How Much to Think: Difficulty-Aware Dynamic MoEs for Graph Node Classification

Dynamic mixture-of-experts architecture for graph neural networks that adapts expert computation per node based on difficulty.

Ax Lea Karbevska, Liming Xu, Zehui Dai, Sara AlMahri, Alexandra Brintrup 9d ago

Structural Consequences of Policy-Based Interventions on the Global Supply Chain Network

Analysis of policy-based tariff interventions on global supply chain networks amid geopolitical tensions.

Ax Yanting Li, Zhuoyang Jiang, Enyan Dai, Lei Wang, Wen-Cai Ye, Li Liu 9d ago

CAGenMol: Condition-Aware Diffusion Language Model for Goal-Directed Molecular Generation

Diffusion language model for goal-directed molecular generation satisfying heterogeneous constraints like protein compatibility and drug properties.

Ax Samuel Salfati 9d ago

Quantization Dominates Rank Reduction for KV-Cache Compression

Comparison of KV-cache compression strategies for transformers showing quantization outperforms rank reduction across multiple model sizes.

Ax Miit Daga, Swarna Priya Ramu 9d ago

Not All Forgetting Is Equal: Architecture-Dependent Retention Dynamics in Fine-Tuned Image Classifiers

Analysis of per-sample forgetting dynamics during fine-tuning of image classifiers, examining architecture dependence of retention patterns.

Ax Shanchuan Lin, Ceyuan Yang, Zhijie Lin, Hao Chen, Haoqi Fan 9d ago

Continuous Adversarial Flow Models

Continuous-time flow models trained with adversarial objectives using learned discriminators instead of fixed MSE criteria.

Ax Denizalp Goktas, Gerardo Ria\~no-Brice\~no, Alif Abdullah, Aryan Nair, Chenkai Shen, Beatriz de Lucio, Alexandra Magnusson, Farhan Mashrur, Ahmed Abdulla, Shawrna Sen, Mahitha Thippireddy, Gregory Schwartz, Amy Greenwald 9d ago

TempusBench: An Evaluation Framework for Time-Series Forecasting

Evaluation framework and benchmark for assessing time-series foundation models and forecasting approaches.

Ax Haolin Li, Shuyang Jiang, Ruipeng Zhang, Jiangchao Yao, Ya Zhang, Yanfeng Wang 9d ago

Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach

Semi-supervised reinforcement learning approach using knowledge-enhanced data synthesis to improve medical reasoning in LLMs.

Ax Vincent S. Kather, Sylvain Haupert, Burooj Ghani, Dan Stowell 9d ago

bacpipe: a Python package to make bioacoustic deep learning models accessible

Python package providing bioacoustic deep learning models and evaluation tools for analyzing passive acoustic monitoring data.

Ax Patrick Lutz, Themistoklis Haris, Arjun Chandra, Aditya Gangrade, Venkatesh Saligrama 9d ago

Layerwise Dynamics for In-Context Classification in Transformers

Study of multi-class linear classification in transformers using feature and label permutation equivariance to extract interpretable algorithms.

Ax Maxim Bolshim (ITMO University, Saint Petersburg, Russia), Alexander Kugaevskikh (ITMO University, Saint Petersburg, Russia) 9d ago

Inter-Layer Hessian Analysis of Neural Networks with DAG Architectures

Analytical formalism decomposing Hessian matrices in neural networks with DAG architectures into inter-layer blocks.

Ax Yunhui Jang, Lu Zhu, Jake Fawkes, Alisandra Kaye Denton, Dominique Beaini, Emmanuel Noutahi 9d ago

Towards Autonomous Mechanistic Reasoning in Virtual Cells

Framework for autonomous mechanistic reasoning in virtual cells using LLMs, representing biological reasoning as mechanistic action graphs.

Ax Nicolas Rodriguez-Alvarez (Instituto de Educacion Secundaria Parquesol, Valladolid, Spain), Fernando Rodriguez-Merino (University of Valladolid, Valladolid, Spain) 9d ago

Fairness is Not Flat: Geometric Phase Transitions Against Shortcut Learning

Methodology to mitigate shortcut learning and demographic bias in deep neural networks using geometric a priori approaches.

Ax J. Oppliger, M. Stifter, A. R\"uegg, I. Bia{\l}o, L. Martinelli, P. G. Freeman, D. Prabhakaran, J. Zhao, Q. Wang, J. Chang 9d ago

Autonomous Diffractometry Enabled by Visual Reinforcement Learning

Model-free reinforcement learning system for autonomous crystal alignment using visual information without domain knowledge of crystallography.

Ax Fei Tang, Zhiqiong Lu, Boxuan Zhang, Weiming Lu, Jun Xiao, Yueting Zhuang, Yongliang Shen 9d ago

ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents

ClawGUI framework for training, evaluating, and deploying GUI agents that interact with software through visual interfaces, with online RL and evaluation infrastructure.

Ax Hugh Blayney, \'Alvaro Arroyo, Johan Obando-Ceron, Pablo Samuel Castro, Aaron Courville, Michael M. Bronstein, Xiaowen Dong 9d ago

A Mechanistic Analysis of Looped Reasoning Language Models

Mechanistic analysis of looped reasoning language models examining internal dynamics and latent state evolution compared to standard feedforward models.

Ax Mihir Prabhudesai, Aryan Satpathy, Yangmin Li, Zheyang Qin, Nikash Bhardwaj, Amir Zadeh, Chuan Li, Katerina Fragkiadaki, Deepak Pathak 9d ago

Solving Physics Olympiad via Reinforcement Learning on Physics Simulators

Uses reinforcement learning on physics simulators to train models solving Physics Olympiad problems, addressing lack of large-scale physics QA datasets for reasoning models.

Ax Yaxin Yu, Long Chen, Minfu Feng 9d ago

SHANG++: Robust Stochastic Acceleration under Multiplicative Noise

SHANG++: Accelerated stochastic gradient descent methods robust to multiplicative noise in gradient updates.

Ax Jon M Laurent, Albert Bou, Michael Pieler, Conor Igoe, Alex Andonian, Siddharth Narayanan, James Braza, Alexandros Sanchez Vassopoulos, Jacob L Steenwyk, Blake Lash, Andrew D White, Samuel G Rodriques 9d ago

LABBench2: An Improved Benchmark for AI Systems Performing Biology Research

LABBench2: Improved benchmark for evaluating AI systems and agents on biology research tasks with real-world capabilities.

Ax Muyan Hu, Ahan Gupta, Jiachen Yuan, Vima Gupta, Taeksang Kim, Xin Xu, Janardhan Kulkarni, Ofer Dekel, Vikram Adve, Charith Mendis 9d ago

VTC: DNN Compilation with Virtual Tensors for Data Movement Elimination

VTC: DNN compilation method using virtual tensors to eliminate data movement in neural network workloads including LLMs.

Ax Magda Dubois, Ekin Zorer, Maia Hamin, Joe Skinner, Alexandra Souly, Jerome Wynne, Harry Coppock, Lucas Satos, Sayash Kapoor, Sunischal Dev, Keno Juchems, Kimberly Mai, Timo Flesch, Lennart Luettgau, Charles Teague, Eric Patey, JJ Allaire, Lorenzo Pacchiardi, Jose Hernandez-Orallo, Cozmin Ududec 9d ago

Seven simple steps for log analysis in AI systems

Pipeline and best practices for log analysis in AI systems to understand model behaviors, with code examples in Inspect framework.

Ax Tabea E. R\"ober, Paul Festor, Rob Goedhart, S. \.Ilker Birbil, Aldo Faisal 9d ago

Improving understanding and trust in AI: How users benefit from interval-based counterfactual explanations

User study evaluating effectiveness of interval-based counterfactual explanations for improving understanding and trust in black-box models.

Ax Jiachen Zhu, Lingyu Yang, Rong Shan, Congmin Zheng, Zeyu Zheng, Weiwen Liu, Yong Yu, Weinan Zhang, Jianghao Lin 9d ago

Turing Test on Screen: A Benchmark for Mobile GUI Agent Humanization

Benchmark measuring humanization and anti-detection capabilities of mobile GUI agents against platform countermeasures.

Ax Yaniv Leviathan (Cheenu), Dani Valevski (Cheenu), Matan Kalman (Cheenu), Danny Lumen (Cheenu), Eyal Segalis (Cheenu), Eyal Molad (Cheenu), Shlomi Pasternak (Cheenu), Vishnu Natchu (Cheenu), Valerie Nygaard (Cheenu), Srinivasan (Cheenu), Venkatachary, James Manyika, Yossi Matias 9d ago

Generative UI: LLMs are Effective UI Generators

Demonstrating LLMs can generate UI interfaces and content together with proper prompting and tool integration.

Ax Hongyu Chen, Liang Lin, Guangrun Wang 9d ago

OOWM: Structuring Embodied Reasoning and Planning via Object-Oriented Programmatic World Modeling

Object-Oriented Programmatic World Modeling (OOWM) for embodied reasoning and planning in robotic tasks using LLMs.

Ax Yunfei Feng, Xi Zhao, Cheng Zhang, Dahu Feng, Daolin Cheng, Jianqi Yu, Yubin Xia, Erhu Feng 9d ago

MobiFlow: Real-World Mobile Agent Benchmarking through Trajectory Fusion

MobiFlow: Benchmark for mobile agents using trajectory fusion for real-world GUI task evaluation without system-level APIs.

Ax Prahlad G. Menon 9d ago

Persistent Identity in AI Agents: A Multi-Anchor Architecture for Resilient Memory and Continuity

Architecture for maintaining persistent identity in AI agents through multi-anchor memory to prevent catastrophic forgetting.

Ax Jash Vira, Ashley Harris 9d ago

Spatial Competence Benchmark

Spatial Competence Benchmark (SCBench) evaluating large models on spatial reasoning, environment representation, and planning tasks.

Ax Xinyi Hu, Yuhao Shen, Baolin Zhang, Hengxin Zhang, Jun Dai, Shuang Ge, Lei Chen, Yue Li, Mingcheng Wan 9d ago

ECHO: Elastic Speculative Decoding with Sparse Gating for High-Concurrency Scenarios

ECHO: Speculative decoding optimization for LLM inference in high-concurrency serving with sparse gating.

Ax Stephan Sandfuchs, Maximilian Melchert, J\"org Frochte 9d ago

LLMs for Text-Based Exploration and Navigation Under Partial Observability

Benchmark evaluating LLMs as text-only controllers for exploration and navigation in gridworlds under partial observability.

Ax Mohamed Rissal Hedna, Jan Strich, Martin Semmann, Chris Biemann 9d ago

Self-Calibrating Language Models via Test-Time Discriminative Distillation

Method for self-calibrating LLMs at test-time through discriminative distillation to reduce overconfidence without labeled data.

Ax Miles Stanley, Soumyajit Datta, Ashutosh Kumar, Ashiqur R. KhudaBukhsh 9d ago

Investigating Vaccine Buyer's Remorse: Post-Vaccination Decision Regret in COVID-19 Social Media Using Politically Diverse Human Annotation

Dataset and annotation study of COVID-19 vaccination regret experiences from YouTube comments.

Ax Md Mahfuzur Rahman, Jareen Shuva, Nishith Tripathi, Jeffrey H. Reed, Lingjia Liu 9d ago

ML-Based Real-Time Downlink Performance Prediction in Standalone 5G NR Using Smartphones

ML framework for predicting 5G network downlink performance using measurements from commercial smartphones.

Ax Jos\'e Manuel Alcalde-Llergo, Mariana Buenestado Fern\'andez, Carlos Enrique George-Reyes, Andrea Zingoni, Enrique Yeguas-Bol\'ivar 9d ago

Leveraging Machine Learning Techniques to Investigate Media and Information Literacy Competence in Tackling Disinformation

Machine learning models to assess media literacy skills and identify disinformation among students.

Ax Xiang Ao, Jingxuan Zhang, Xinyu Zhao 9d ago

Dynamic Forecasting and Temporal Feature Evolution of Stock Repurchases in Listed Companies Using Attention-Based Deep Temporal Networks

Deep learning model using TCN and attention-based LSTM for predicting stock repurchases in Chinese financial markets.

Ax Xinyuan An, Tao Luo, Gengyun Peng, Yaobing Wang, Kui Ren, Dongxia Wang 9d ago