Ax Changdae Oh, Gyeongdeok Seo, Geunyoung Jung, Zhi-Qi Cheng, Hosik Choi, Jiyoung Jung, Kyungwoo Song 27d ago

Robust Adaptation of Foundation Models with Black-Box Visual Prompting

Black-box visual prompting method for parameter-efficient transfer learning of foundation models without full parameter access.

Ax Lechen Zhang, Tolga Ergen, Lajanugen Logeswaran, Moontae Lee, David Jurgens 27d ago

SPRIG: Improving Large Language Model Performance by System Prompt Optimization

SPRIG: Genetic algorithm for optimizing system prompts in LLMs to improve task performance.

Ax Muralikrishnna G. Sethuraman, Razieh Nabi, Faramarz Fekri 27d ago

MissNODAG: Differentiable Cyclic Causal Graph Learning from Incomplete Data

MissNODAG: Framework for learning cyclic causal graphs from incomplete data using differentiable methods.

Ax Haitham Kanj, Seonho Kim, Kiryung Lee 27d ago

Sparse Max-Affine Regression

Sparse Gradient Descent algorithm for variable selection in convex piecewise linear regression models.

Ax Hao Chen, Kai Yi, Yu Guang Wang 27d ago

Score-matching-based Structure Learning for Temporal Data on Networks

Score-matching causal discovery algorithm extended for temporal data on networks.

Ax Ugur Dar, Mustafa Cavus 27d ago

From XAI to MLOps: Explainable Concept Drift Detection with Profile Drift Detection

XAI-based method combining explainability with concept drift detection for monitoring model performance degradation.

Ax Aytijhya Saha, Aaditya Ramdas 27d ago

Post-detection inference for sequential changepoint localization

Framework for constructing confidence sets for changepoints in sequential analysis using data-dependent stopping times.

Ax Qi Wang, Zhipeng Zhang, Baao Xie, Xin Jin, Yunbo Wang, Shiyu Wang, Liaomo Zheng, Xiaokang Yang, Wenjun Zeng 27d ago

Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning

World models using disentangled representations to transfer semantic knowledge from distracting videos for RL agents.

Ax Henri A\"idasso, Francis Bordeleau, Ali Tizghadam 27d ago

Towards Build Optimization Using Digital Twins

Digital twins framework for optimizing CI/CD build processes to reduce duration, failures, and flakiness.

Ax Kejie Zhao, Wenjia Hua, Aiersi Tuerhong, Luziwei Leng, Yuxin Ma, Qinghai Guo 27d ago

Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks

Online test-time adaptation for spiking neural networks on neuromorphic chips to handle distribution shifts.

Ax Yifu Yuan, Haiqin Cui, Yibin Chen, Zibin Dong, Fei Ni, Longxin Kou, Jinyi Liu, Pengyi Li, Yan Zheng, Jianye Hao 27d ago

From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation

FSD framework combining vision-language models with robotic action models for zero-shot manipulation in novel scenarios.

Ax Gordana Ispirova, Michael Sebek, Giulia Menichetti 27d ago

Informatics for Food Processing

Review of ML/AI applications in food processing, classification systems, and food informatics.

Ax Yash Patel, Unique Subedi, Ambuj Tewari 27d ago

Operator Learning for Schr\"{o}dinger Equation: Unitarity, Error Bounds, and Time Generalization

Neural network surrogate for learning evolution operators in time-dependent Schrödinger equations with unitarity constraints.

Ax Edward L. Wang, Mohammad Sharifi Kiasari, Tianyu Wang, Hayden Helm, Avanti Athreya, Carey Priebe, Vince Lyzinski 27d ago

Gaussian mixture models as a proxy for interacting language models

Gaussian mixture models as computationally efficient proxy for LLM+RAG systems combining multiple models.

Ax Tianze Yang, Tyson Jordan, Ruitong Sun, Ninghao Liu, Jin Sun 27d ago

Common Inpainted Objects In-N-Out of Context

COinCO dataset with 97,722 images created via diffusion-based inpainting for training context-aware vision models.

Ax Peter Sentz, Stanley Nicholson, Yujin Cho, Sohail Reddy, Brendan Keith, Stefanie G\"unther 27d ago

Learning thermodynamic master equations for open quantum systems

Machine learning methods for learning Hamiltonian components of open quantum systems.

Ax Yingli Wang, Changwei Tu, Xiaoyu Wang, Lingjiong Zhu 27d ago

Accelerating Constrained Sampling: A Large Deviations Approach

Large deviations approach to accelerate constrained sampling algorithms for probability distributions.

Ax Nikolay Blagoev, O\u{g}uzhan Ersoy, Lydia Yiyu Chen 27d ago

All is Not Lost: LLM Recovery without Checkpoints

Technique to recover LLM training on decentralized/spot nodes from partial model loss without full checkpoints.

Ax Yukun Huang, Sanxing Chen, Jian Pei, Manzil Zaheer, Bhuwan Dhingra 27d ago

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models

Method for LLMs to reliably cite source documents seen during training without external retrievers at inference time.

Ax Lujun Li, Yiqun Wang, Radu State 27d ago

Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications

Vision Transformer framework reconstructs cloud-obscured satellite imagery using time-series data for crop mapping.

Ax Takuro Kawada, Shunsuke Kitada, Sota Nemoto, Hitoshi Iyatomi 27d ago

SciGA: A Comprehensive Dataset for Designing Graphical Abstracts in Academic Papers

SciGA-145k dataset for training models to automatically design graphical abstracts for academic papers using visual data.

Ax Dixon Domfeh, Saeid Safarveisi 27d ago

CATNet: A geometric deep learning approach for CAT bond spread prediction in the primary market

CATNet applies graph convolutional networks to predict catastrophe bond spreads using relational data structures.

Ax Tomer Krichli, Bhiksha Raj, Joseph Keshet 27d ago

WhisperRT -- Turning Whisper into a Causal Streaming Model

Modification of Whisper ASR model to enable low-latency streaming transcription through architectural and training changes.

Ax Yifu Yuan, Haiqin Cui, Yaoting Huang, Yibin Chen, Fei Ni, Zibin Dong, Pengyi Li, Yan Zheng, Hongyao Tang, Jianye Hao 27d ago

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation

Vision-language model for robotic manipulation using embodiment-agnostic pointing representation to address generalization in embodied AI.

Ax Wangsong Yin, Daliang Xu, Mengwei Xu, Gang Huang, Xuanzhe Liu 27d ago

ShadowNPU: System and Algorithm Co-design for NPU-Centric On-Device LLM Inference

System co-design for efficient on-device LLM inference on NPU hardware, optimizing attention operations for privacy-preserving deployment.

Ax Xinwen Liu, Lei Qian, Song Xi Chen, Niansheng Tang 27d ago

Partially Functional Dynamic Backdoor Diffusion-based Causal Model

Diffusion-based causal inference method for spatio-temporal data with unmeasured confounders and multi-resolution observations.

Ax Ivan Lau, Jonathan Scarlett 27d ago

Sequential 1-bit Mean Estimation with Near-Optimal Sample Complexity

Theoretical work on distributed mean estimation with 1-bit communication constraints using interval queries, achieving near-optimal sample complexity.

Ax Vincent Nguyen, Guilherme Herzog, Jos\'e Cambronero, Marcus Revaj, Aditya Kini, Alexander Fr\"ommgen, Maxim Tabachnyk 27d ago

Smart Paste: Automatically Fixing Copy/Paste for Google Developers

Google developer tool using deep learning to automatically fix copy/paste code, predicting required edits from formatting to cross-language translation.

Ax Sicheng Lyu, Yu Gu, Xinyu Wang, Jerry Huang, Sitao Luan, Yufei Cui, Xiao-Wen Chang, Peng Lu 27d ago

EvoEdit: Evolving Null-space Alignment for Robust and Efficient Knowledge Editing

Knowledge editing method for LLMs enabling sequential updates through null-space alignment, improving robustness in continual model editing scenarios.

Ax Chun Chet Ng, Zhen Hao Chu, Jia Yu Lim, Yin Yin Boon, Wei Zeng Low, Jin Khye Tan 27d ago

AI-BAAM: AI-Driven Bank Statement Analytics as Alternative Data for Malaysian MSME Credit Scoring

AI system for credit scoring of Malaysian MSMEs using bank statement data as alternative to traditional credit bureau data.

Ax Pankaj K Mishra, Sanni Laaksonen, Jochen Kamm, Anand Singh 27d ago

Three-dimensional inversion of gravity data using implicit neural representations and scientific machine learning

Scientific machine learning approach using implicit neural representations for 3D gravity inversion, modeling subsurface density as continuous field.

Ax Hashem Omrani, Raha Imanirad, Adam Diamant, Utkarsh Verma, Amol Verma, Fahad Razak 27d ago

Endogenous Aggregation of Multiple Data Envelopment Analysis Scores for Large Data Sets

Data envelopment analysis method for dynamic efficiency evaluation across multiple organizational dimensions with regularization for large-scale settings.

Ax Anubhab Ghosh, Yonina C. Eldar, Saikat Chatterjee 27d ago

pDANSE: Particle-based Data-driven Nonlinear State Estimation from Nonlinear Measurements

Data-driven nonlinear state estimation method for model-free processes using RNNs with noisy nonlinear measurements.

Ax Ilyass Moummad, Kawtar Zaher, Herv\'e Go\"eau, Alexis Joly 27d ago

Image Hashing via Cross-View Code Alignment in the Age of Foundation Models

Image hashing method using foundation models for efficient large-scale retrieval with compact binary codes instead of high-dimensional embeddings.

Ax Saeedeh Javadi, Sara Mirabi, Manan Gangar, Bahadorreza Ofoghi 27d ago

Contradictions in Context: Challenges for Retrieval-Augmented Generation in Healthcare

Study of RAG limitations in healthcare domain, showing how retrieval-augmented generation fails when source documents contain contradictory or outdated information.

Ax Md Tanvirul Alam, Saksham Aggarwal, Justin Yang Chae, Nidhi Rastogi 27d ago

SPHINX: A Synthetic Environment for Visual Perception and Reasoning

Sphinx synthetic environment for visual perception and reasoning with procedurally generated puzzles covering 25 task types, enabling precise evaluation and large-scale dataset construction.

Ax Ivan Yee Lee, Cheng Yang, Taylor Berg-Kirkpatrick 27d ago

Optical Context Compression Is Just (Bad) Autoencoding

Analysis showing optical context compression via vision tokens is functionally equivalent to lossy autoencoding, questioning effectiveness of DeepSeek-OCR's compression pipeline.

Ax Leijie Wang, Otilia Stretcu, Wei Qiao, Thomas Denby, Krishnamurthy Viswanathan, Enming Luo, Chun-Ta Lu, Tushar Dogra, Ranjay Krishna, Ariel Fuxman 27d ago

Agile Deliberation: Concept Deliberation for Subjective Visual Classification

Human-in-the-loop approach for visual classification through iterative concept deliberation, addressing subjective vision tasks in content moderation and curation.

Ax Benjamin C. Koenig, Sili Deng 27d ago

Learning continuous state of charge dependent thermal decomposition kinetics for Li-ion cathodes using Kolmogorov-Arnold Chemical Reaction Neural Networks (KA-CRNNs)

Application of Kolmogorov-Arnold neural networks to model thermal decomposition kinetics in lithium-ion batteries with state-of-charge dependence.

Ax Benyamin Hosseiny, Kamirul Kamirul, Odysseas Pappas, Alin Achim 27d ago

NASTaR: NovaSAR Automated Ship Target Recognition Dataset

Synthetic Aperture Radar dataset for ship type classification using deep learning models, focused on maritime activity monitoring.

Ax Rahul Baxi 27d ago

The Drill-Down and Fabricate Test (DDFT): A Protocol for Measuring Epistemic Robustness in Language Models

DDFT protocol measures epistemic robustness of language models under stress conditions, distinguishing knowledge gaps from verification mechanism failures beyond static benchmarks.

Ax Binxu Wang, Jingxuan Fan, Xu Pan 27d ago

Circuit Mechanisms for Spatial Relation Generation in Diffusion Transformers

Mechanistic interpretability study of how Diffusion Transformers generate correct spatial relations in text-to-image generation.

Ax Mayank Sharma, Roy Pea, Hari Subramonyam 27d ago

ConvoLearn: A Dataset for Fine-Tuning Dialogic AI Tutors

ConvoLearn dataset of 2,134 tutor-student dialogues for fine-tuning dialogue-based AI tutors grounded in knowledge-building theory.

Ax Viacheslav Sydora, Guner Dilsad Er, Michael Muehlebach 27d ago

Teaching Machine Learning Fundamentals with LEGO Robotics

Open-source educational platform teaching ML fundamentals to students aged 12-17 using LEGO robotics.

Ax Ellen Xiaoqing Tan, Jack Lanchantin, Shehzaad Dhuliawala, Danwei Li, Thao Nguyen, Jing Xu, Ping Yu, Ilia Kulikov, Sainbayar Sukhbaatar, Jason Weston, Xian Li, Olga Golovneva 27d ago

Self-Improving Pretraining: using post-trained models to pretrain better models

Pretraining approach using post-trained models to incorporate reasoning and safety behaviors earlier in LLM development.

Ax Zixuan Xia, Hao Wang, Pengcheng Weng, Yanyu Qian, Yangxin Xu, William Dan, Fei Wang 27d ago

Improving Multimodal Learning with Dispersive and Anchoring Regularization

Regularization techniques for improving multimodal representation learning by addressing collapse and inconsistency issues.

Ax Henri A\"idasso, Francis Bordeleau, Ali Tizghadam 27d ago

Predicting Intermittent Job Failure Categories for Diagnosis Using Few-Shot Fine-Tuned Language Models

Few-shot fine-tuned language models for diagnosing intermittent CI pipeline failures in software development.

Ax Ilyass Moummad, Marius Miron, David Robinson, Kawtar Zaher, Herv\'e Go\"eau, Olivier Pietquin, Pierre Bonnet, Emmanuel Chemla, Matthieu Geist, Alexis Joly 27d ago

Compact Hypercube Embeddings for Fast Text-based Wildlife Observation Retrieval

Compact embeddings for fast text-based wildlife observation retrieval from large biodiversity archives.

Ax Ilyass Moummad, Marius Miron, Lukas Rauch, David Robinson, Alexis Joly, Olivier Pietquin, Emmanuel Chemla, Matthieu Geist 27d ago

Audio-to-Image Bird Species Retrieval without Audio-Image Pairs via Text Distillation

Cross-modal learning for bird species recognition using audio-to-image retrieval without paired training data.

Ax Qian Wang, Xuandong Zhao, Zirui Zhang, Zhanzhi Lou, Nuo Chen, Dawn Song, Bingsheng He 27d ago

Making Bias Non-Predictive: Training Robust LLM Reasoning via Reinforcement Learning

Training LLMs to resist cognitive biases in reasoning via reinforcement learning rather than prompting.