Ax Theodora Worledge, Othman Bensouda Koraichi, Daniel Bernal, Aviv Caspi, Tatsunori Hashimoto, Carlos Guestrin, David Freeman Engstrom 9d ago

AI Assistance for Human Review of Default Judgments

Study of AI assistance for reviewing default judgments in US courts, finding high error rates in debt collection cases.

Ax Timothy Oluwapelumi Adeyemi, Abigail Omotola Ojogbede 9d ago

Artificial Intelligence-Enabled Accounting Information Systems and Fraud Detection in Nigeria's Financial Services Sector: The Moderating Role of Natural Language Processing

NLP and AI applications for fraud detection and financial crime prevention in Nigerian financial services.

Ax Cl\'ement Morand, Aur\'elie N\'ev\'eol, Anne-Laure Ligozat 9d ago

The Rising Unsustainability of AI Graphics Cards Production

Analysis of environmental and sustainability impacts of AI graphics card production and hardware updates.

Ax Aizierjiang Aiersilan 9d ago

Benchmarking Federated Learning and Knowledge Distillation for Point Cloud Classification

Benchmark evaluating federated learning and knowledge distillation for 3D point cloud classification across 504 runs.

Ax Wenting Ma, Zhipeng Zhang, Xiaohang Yuan, Ningwei Xie, Yuxin Xie, Xiaolin Wang, Meng Guo, Xingang Chai, Zhenjie Yao 9d ago

Domain Knowledge Based Temporal-Spatial Graph Convolution Network for ECG Recognition

Domain knowledge graph convolution networks for ECG recognition with improved interpretability in healthcare.

Ax Matthew J Liu, Wei Hang Zheng, Vidhan Purohit, Siqi Xie, Chieh-En Li, Jerry Li, Noah Flynn 9d ago

Scaling Laws for Grid-Based Approximate Nearest Neighbor Search in High Dimensions

Grid-based approximate nearest neighbor search scaling analysis on embeddings, examining dimensional scaling behavior.

Ax Cong-Thanh Vu, Yen-Chen Liu 9d ago

Adaptive Companionship for Group-Following Robots: Handling Dynamically Changing Group Formations

Vision-Language Model method for robots to maintain natural companionship with dynamically changing human group formations.

Ax Haoyuan Zhang, Xiangyu Zhu, Li Gao, Ajian Liu, Siran Peng, Zhen Lei 9d ago

CPG-PAD: Concept-Informed Prompts Guided Presentation Attack Detection

Vision-Language Model approach for presentation attack detection in face recognition with improved cross-domain generalization.

Ax Jiefei Liu, Abu Saleh Md Tayeen, Pratyay Kumar, Qixu Gong, Wenbin Jiang, Huiping Cao, Satyajayant Misra, Jayashree Harikumar 9d ago

Generative AI and Federated Learning for Intrusion Detection Systems: A Survey

Survey of generative AI and federated learning applications for intrusion detection in cyber-physical and IoT environments.

Ax Christopher Ellis, Shreyas Chaudhari, Mei-Yu Wang, Leighton Barnes, Giulia Fanti, Jos\'e M. F. Moura 9d ago

Black-Box Inference of LLM Architectural Properties with Restrictive API Access

Methods for inferring LLM architectural properties (hidden dimensions, layer counts) through restricted API access with minimal logits exposure.

Ax Zihao Qi, Christopher Earls 9d ago

Mechanistic Interpretability and Causal Feature Steering of Neural Quantum States via Sparse Autoencoders

Mechanistic interpretability analysis of Neural Quantum States using sparse autoencoders for feature extraction and causal steering.

Ax Hao Zhang, Thomas Thebaud, Georgi Tinchev, Venkatesh Ravichandran, Laureano Moro-Velazquez 9d ago

TurnNat: Automatic Evaluation of Turn-Taking Naturalness in Dyadic Spoken Dialogue

Likelihood-based framework for automatic evaluation of turn-taking naturalness in full-duplex spoken dialogue systems.

Ax Paimon Goulart, Chansong Lim, N\'icolas Roque dos Santos, Yue Dong, Sheldon Peterson, Jia Chen, Evangelos E. Papalexakis 9d ago

Multi-modal Rail Crossing Safety Analysis

Multi-modal system combining images and structured accident data to assess railway crossing safety.

Ax Bhavya Gupta, Deep Chatterjee, William Benoit, Ethan Marx, Christina Reissel, Seiya Tsukamoto, Kyungseop Yoon, Michael W. Coughlin, Philip Harris, Erik Katsavounidis 9d ago

AI-enabled gravitational-waves searches for binary neutron stars at optimal sensitivity

AI methods for detecting gravitational waves from binary neutron star mergers to improve multi-messenger astronomy observations.

Ax Maria Elkj{\ae}r Montgomery, Christian Igel, Mikkel Odgaard, Martin Sillesen, Mads Nielsen 9d ago

How Should Transformers Encode Numeric Values in Electronic Health Records?

Systematic comparison of numeric encoding strategies for transformers on EHR data, evaluating precision, stability, and flexibility.

Ax Mengyu Li, Guoyao Shen, Chad W. Farris, Xin Zhang 9d ago

NeuroBridge: Bridging Multi-Task MRI Knowledge for Neurodegenerative Disease Diagnosis

Multi-task MRI framework combining self-supervised pretraining and hippocampal segmentation for neurodegenerative disease diagnosis.

Ax Chenxing Liang, Yuchao Lin, Andrii Kryvenko, Wendi Yu, Chuan Li, Jianwen Xie, Xiaofeng Qian, Shuiwang Ji 9d ago

Spin-Weighted Spherical Harmonics Enable Complete and Scalable $\mathrm{E}(3)$-Equivariant Networks

Method using spin-weighted spherical harmonics to improve scalability of E(3)-equivariant neural networks for 3D atomistic systems.

Ax Parv Agarwal, Asif Ekbal 9d ago

GPUAlert: A Zero-Instrumentation Process-Boundary Monitor for Diagnosing GPU Training-Job Failures

Zero-instrumentation monitoring tool for diagnosing GPU training job failures without modifying code or infrastructure.

Ax Emerson Murphy-Hill, Jenna Butler, Alexandra Savelieva 9d ago

Adoption and Impact of Command-Line AI Coding Agents: A Study of Microsoft's Early 2026 Rollout of Claude Code and GitHub Copilot CLI

Empirical study of adoption, retention, and ROI for command-line AI coding agents (Claude Code, GitHub Copilot CLI) at organizational scale.

Ax Dang Quang Thien Tran, Quang V. Dang, Vinamra Tyagi, Sai Soorya Rao Veeravalli, Trang Nguyen, Ryan A. Rossi, Franck Dernoncourt, Nedim Lipka, Koustava Goswami, Samyadeep Basu 9d ago

MultAttnAttrib: Training-Free Multimodal Attribution in Long Document Question Answering

Training-free method for multimodal attribution in long document QA systems using attention analysis for grounded answers.

Ax Laxmipriya Ganesh Iyer 9d ago

Risk Architecture for AI-Native Engineering Teams: An Organizational Framework for Agentic System Governance

Organizational framework for governing agentic AI systems, addressing probabilistic behavior, autonomous actions, and clear accountability.

Ax Samir Abdaljalil, Erchin Serpedin, Hasan Kurban 9d ago

IsoSci: A Benchmark of Isomorphic Cross-Domain Science Problems for Evaluating Reasoning versus Knowledge Retrieval in LLMs

Benchmark separating reasoning from knowledge retrieval in LLM evaluation using isomorphic cross-domain problem pairs.

Ax Atsuki Yamaguchi, Szymon Palucha, L\'eo Bijar, Aline Villavicencio, Nikolaos Aletras 9d ago

On the Utility and Factual Reliability of Pruned Mixture-of-Experts Models in the Biomedical Domain

Study of pruned Mixture-of-Experts models in biomedical domain, evaluating utility and factual reliability under resource constraints.

Ax Kathan Shah 9d ago

Token Geometry

Research on gradient geometry of embedding tables in language models; introduces Ember optimizer for efficient finetuning and pretraining with minimal memory.

Ax Shashank Indukuri, Adarsh Agrawal 9d ago

Grounded Optimization: A Layered Engineering Framework for Reducing LLM Hallucination in Automated Personal Document Rewriting

Framework for reducing LLM hallucinations in resume optimization through temporal validation, contamination detection, and structural checks.

Ax Juliette Decugis, Sean O'Brien, Francis Bach, Gabriel Synnaeve, Taco Cohen 9d ago

Don't Let Gains FADE: Breaking Down Policy Gradient Weights in RL

Framework decomposing advantage function variants in RL-based LLM post-training to address training instability and diversity collapse in policy gradient methods.

Ax Tong Duy Son, Marc Brughmans, Andrey Hense, Kohta Sugiura, Sebastian Ciceo, Paolo di Carlo, Theo Geluk 9d ago

Robust and Explainable 3D Mode Shape Recognition Using Region-Aware Graph Neural Networks

Graph neural networks for automotive mode shape recognition using region-aware architectures. Domain-specific application of ML, not developer-focused.

Ax Jiatong Li, Samuel Yeh, Sharon Li 9d ago

Multi-Head Recurrent Memory Agents

Multi-Head Recurrent Memory Agents: Addresses reliability degradation in LLM agents with long contexts by decomposing memory capture and retention.

Ax Rachith Aiyappa, Ishita Khan, Chester Palen-Michel, Jayanth Yetukuri, Samarth Agrawal, Mehran Elyasi, Shuang Zhou 9d ago

IntentTune: Using user demand and personalization to resolve "unknown" query intents for e-commerce search

IntentTune: System for resolving ambiguous e-commerce queries by inferring latent user intent attributes using demand and personalization signals.

Ax Ege Onur Taga, Yilin Zhuang, M. Emrullah Ildiz, Petros Mol, Abhimanyu Das, Karthik Duraisamy, Samet Oymak 9d ago

Evolutionary Feature Engineering for Structured Data

EFE: Framework using LLM-based evolutionary search to discover preprocessing transformations for structured data as composable Python programs.

Ax Leyan Li, Rennong Yang, Zhenxing Zhang, Liping Hu 9d ago

X-LogSMask: Expand Transformer for Graph-Structured Data

X-LogSMask: Explainable multi-scale transformer variant for sparse, structured graph data with improved interpretability over standard transformers.

Ax Tianyi Zhang, Mousumi Das, Abrar Anwar, Jesse Thomason, David Traum 9d ago

DiPS: Dialogue Policy Selection for High-Stakes Persuasion Agents

DiPS: Q-learning framework for dialogue policy selection in high-stakes persuasion agents, dynamically adapting strategies based on personality.

Ax Tingting Yu, Pei-Cing Huang, Chan Hsu, Chan-Tung Ku, Yihuang Kang 9d ago

ADVENT: LLM-Driven Automatic Predicate Invention for ILP

ADVENT: LLM-driven predicate invention mechanism for Inductive Logic Programming combining LLM abduction with Prolog deductive verification.

Ax Guoyang Xia, Fengfa Li, Hongjin Ji, Lei Ren, Fangxiang Feng, Kun Zhan, Yan Xie 9d ago

VLAFlow: A Unified Training Framework for Vision-Language-Action Models via Co-training and Future Latent Alignment

VLAFlow: Unified flow-matching framework for training vision-language-action models enabling controlled comparison of VLA objectives with robot manipulation datasets.

Ax Wenbo Zhang 9d ago

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction

Multimodal knowledge graph framework for protein-protein interaction prediction in cold-start settings with limited training data.

Ax Zhaoyan Sun, Shan Zhong, Daizhou Wen, Jiaxing Han, Guoliang Li, Ying Yan, Peng Zhang, Yu Su, Xiang Qi, Baolin Sun, Chengyuan Yang, Tao Fang, Huaiyu Ruan 9d ago

AgenticDataBench: A Comprehensive Benchmark for Data Agents

Comprehensive benchmark for LLM-based data agents automating data science workflows. Evaluates agent capabilities on heterogeneous datasets.

Ax Mona Rajhans, Vishal Khawarey 9d ago

Beyond Gradient-Based Attacks: Adversarial Robustness and Explainability Stability in Cybersecurity Classifiers

Adversarial robustness evaluation on cybersecurity classifiers. Tests gradient-free attacks and explainability stability with SHAP.

Ax Long Minh Bui, Tuan Anh Le Van, Tung Phi Duc, Phi Le Nguyen, Jana Doppa, Trong Nghia Hoang 9d ago

Model Merging as Probabilistic Inference in Fine-Tuning Parameter Space

Probabilistic framework for merging task-specific models into multitask solutions. Scores statistical utility of parameter updates across tasks.

Ax Yueming Huang, Wenhan Yao, Fen Xiao, Xiarun Chen, Weiping Wen 9d ago

Pmeta-TLA: Backdoor Attacks for Speech Classification Models via Meta-Learning with Timbre Leakage Attack

Backdoor attack analysis on speech classifiers via meta-learning. Explores vulnerabilities and detection evasion techniques.

Ax Nikolai Smolyanskiy 9d ago

Predicting Closed-Loop Performance of Latent World Models: Offline Checkpoint Selection for MPC and Model-Based RL Under Non-Markovian Rewards in LunarLander

Diagnostic framework for predicting closed-loop performance of world models in model-based RL without explicit validation metrics.

Ax Stefano Masini, Cecilia Viscardi, Michela Baccini 9d ago

Full Bayesian Reinforcement Learning via LF-IBIS

Bayesian reinforcement learning method addressing data scarcity through prior knowledge and belief updates in sequential decision-making.

Ax Yuan Wang, Shujian Gao, Songtao Jiang, Zhengyu Hu, Zuozhu Liu 9d ago

MedStreamBench: A Time-Aware Benchmark for Streaming and Proactive Medical Video Understanding

Medical video benchmark for time-aware clinical AI predictions. Evaluates when models should answer vs defer in real-world deployment.

Ax Siyuan Zhang, Nachuan Xiao, Xin Liu 9d ago

Decentralized Stochastic Subgradient-type Methods with Communication Compression for Nonsmooth Nonconvex Optimization

Decentralized optimization with communication compression for nonsmooth problems. Distributed computing theory, marginal relevance.

Ax Jae-Ryung Hong, Ho-Joong Kim, Seong-Whan Lee 9d ago

ProCal: Inference-Time Proposal Calibration for Open-Vocabulary Object Detection

Open-vocabulary object detection calibration using frozen VLMs. Vision-language model application with limited novelty.

Ax Lizhou Liu, Xiaohui Chen, Zihan Tang, Mengyao Ma, Wenyi Zhang 9d ago

Scene-Conditioned PINN-GNN for Multipath RF Maps: Cross-Scene Generation and In-Scene Completion

Physics-informed neural networks and GNNs for RF map construction and multipath propagation. Wireless domain-specific, limited relevance.

Ax Ahin Lee, Sehyun Yun, Taesik Gong 9d ago

EPnG: Adaptive Expert Prune-and-Grow for Parameter-Efficient MoE Fine-tuning

Adaptive expert pruning and growing for efficient MoE fine-tuning using LoRA. Parameter-efficient training for large models.

Ax Shenghui Zhang, YuXuan Gao, Songwei Zhao, Jifeng Hu, Zijing Zhang, Hechang Chen 9d ago

Lightweight Safe Reinforcement Learning for End-to-End UAV Navigation

Safe reinforcement learning for UAV navigation with explicit safety mechanisms. Robotics application with limited relevance.

Ax Rowan Hussein, Mohamed Ouf 9d ago

Single-Channel EEG-Based Cognitive Load Assessment in Online Learning: A Hybrid Deep Learning Approach

EEG-based cognitive load assessment for online learning using deep learning. Healthcare/education application, minimal AI research depth.

Ax Rodrigo Mendoza-Smith 9d ago

Expander Sparse Autoencoders: Parameter-Efficient Dictionaries for Mechanistic Interpretability

Expander sparse autoencoders for mechanistic interpretability with reduced parameters. ML research on interpretability and efficient dictionaries.

Ax Weiwei Xu, Xuanning Cui, Hengzhi Ye, Minghui Zhou 9d ago

Decoupling Code Complexity from Newcomer Participation: A Causal Study of AI Coding Agent Adoption in OSS

Causal study of AI coding agent adoption on open-source projects, analyzing impact on newcomer participation. Developer tools and OSS ecosystem.