Isolater - Feed

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

FlowHijack: A Dynamics-Aware Backdoor Attack on Flow-Matching Vision-Language-Action Models

Study of backdoor security vulnerabilities in flow-matching Vision-Language-Action models used for robotics, exploiting vector field dynamics.

Ax Jiani Cao, Kun Wang, Yang Liu, Zhenjiang Li 9d ago

NeuroPath: Practically Adopting Motor Imagery Decoding through EEG Signals

NeuroPath system for motor imagery decoding from EEG signals for brain-computer interfaces in prosthetics and rehabilitation.

Ax Kumar Saurav 9d ago

Real-Time Voicemail Detection in Telephony Audio Using Temporal Speech Activity Features

Lightweight speech activity-based approach for real-time voicemail detection in telephony using tree ensemble classification.

Ax Ernest Fokou\'e, Gregory Babbitt, Yuval Levental 9d ago

Isomorphic Functionalities between Ant Colony and Ensemble Learning: Part III -- Gradient Descent, Neural Plasticity, and the Emergence of Deep Intelligence

Theoretical paper establishing mathematical isomorphisms between ant colony behavior, ensemble learning, and gradient descent in deep networks.

Ax Amey Thakur, Sarvesh Talele 9d ago

A Modular Zero-Shot Pipeline for Accident Detection, Localization, and Classification in Traffic Surveillance Video

Zero-shot modular pipeline for traffic accident detection, localization, and classification without labeled training data.

Ax Abolfazl Mohammadi-Seif, Ricardo Baeza-Yates 9d ago

Face Density as a Proxy for Data Complexity: Quantifying the Hardness of Instance Count

Quantifies data complexity by measuring face density (instance count) as driver of machine learning hardness in crowded scenes.

Ax Maximilian Nicholson 9d ago

Sharpness-Aware Surrogate Training for On-Sensor Spiking Neural Networks

Addresses surrogate-to-hard transfer gap in spiking neural networks for on-sensor vision using sharpness-aware training.

Ax Melanie Neubauer, Elmar Rueckert, Christian Rauch 9d ago

PASTA: Vision Transformer Patch Aggregation for Weakly Supervised Target and Anomaly Segmentation

Vision transformer patch aggregation method for weakly-supervised anomaly and target segmentation in industrial and agricultural applications.

Ax Justin Li, Daniel Ding, Asmita Yuki Pritha, Aryana Hou, Xin Wang, Shu Hu 9d ago

Robust Fair Disease Diagnosis in CT Images

Deep learning approach for fair disease diagnosis in chest CT addressing compound failures from class imbalance and demographic underrepresentation.

Ax S. Afifi, O. Alo, I. Thakkar, S. Pasricha 9d ago

Sustainable Transformer Neural Network Acceleration with Stochastic Photonic Computing

ASTRA silicon-photonic accelerator for transformers using stochastic computing to reduce computation and memory demands.

Ax Shuo-Hui Li, Chen Chen, Yao-Wen Zhang, Ding Pan 9d ago

Differentiable free energy surface: a variational approach to directly observing rare events using generative deep-learning models

VaFES framework uses generative deep learning to directly model free energy surfaces for rare event simulation without dataset sampling.

Ax Pablo Mercader-Perez, Carolina Cuesta-Lazaro, Daniel Muthukrishna, Jeroen Audenaert, V. Ashley Villar, David W. Hogg, Marc Huertas-Company, William T. Freeman 9d ago

Learning What's Real: Disentangling Signal and Measurement Artifacts in Multi-Sensor Data, with Applications to Astrophysics

Method for disentangling physical signals from measurement artifacts in multi-sensor astrophysics data using machine learning.

Ax Dhruv Atreja, Julia White, Nikhil Nayak, Kelton Zhang, Henrijs Princis, George Hurn-Maloney, Ash Lewis, Urchade Zaratiana 9d ago

Pioneer Agent: Continual Improvement of Small Language Models in Production

Pioneer Agent automates continuous improvement of small language models in production through closed-loop data curation, failure diagnosis, and iteration control.

Ax Kyle Waters, Lucas Nuzzi, Tadhg Looram, Alessandro Tomasiello, Ariel Ghislain Kemogne Kamdoum, Bikun Li, Damien Sileo, Egor Kretov, Francesco Fournier-Facio, Georgios Soloupis, Haile Kassahun, Hew Wolff, Jiaqi Cai, Lianghui Li, Marc Roth, Mohinder Naiya, Naixu Guo, Qicheng Tang, Richard Wheeler, Samuele Sala, Serguei Popov, Steven Dillman, Yuqi Li 9d ago